[{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Go To Market","allLocations":["Watertown, MA"]},"createdAt":1752505395767,"descriptionPlain":"Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.\n\nWe’re looking for a driven, consultative Account Executive to drive mid-market sales of our robotic palletizing solutions. You'll be responsible for owning the full sales cycle — from deal creation to close — selling to operations leaders, plant managers, and business owners in manufacturing, logistics, and 3PL environments.\n\nThe ideal candidate has experience managing 6 figure deal sizes with sales cycles under 12 months, and thrives in a fast-paced, high-impact sales environment.\n","description":"Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.
We’re looking for a driven, consultative Account Executive to drive mid-market sales of our robotic palletizing solutions. You'll be responsible for owning the full sales cycle — from deal creation to close — selling to operations leaders, plant managers, and business owners in manufacturing, logistics, and 3PL environments.
The ideal candidate has experience managing 6 figure deal sizes with sales cycles under 12 months, and thrives in a fast-paced, high-impact sales environment.
","id":"0e325304-1d44-4354-b1ef-7619ace3a9aa","lists":[{"text":"Responsibilities","content":"Own and drive the full-cycle sales process from pipeline creation to close.Execute a fast paced, discovery-led sales motion, identifying technical fit, operational pain points, and budget alignment.Sell into key personas such as Operations Managers, Engineering Leads, and Owners/VPs.Manage a healthy pipeline, targeting short sales cycles, and high win rates.Collaborate cross-functionally with GTM and Deployment teams to ensure solution alignment.Maintain accurate deal tracking and forecasting in CRM (HubSpot or equivalent).Contribute feedback to help evolve sales playbooks, ICP targeting, and commercial offers."},{"text":"Requirements","content":"4–8+ years of experience in B2B sales, ideally in automation, robotics, capital equipment, or industrial tech.Proven ability to consistently close deals of $50K–$250K in a solution or consultative sales model.Track record of working mid-length sales cycles (2–6 months).Ability to speak to both technical and operational value in a complex buying environment.Comfortable managing multiple stakeholders and navigating facility-level purchasing processes.Strong communicator and storyteller with a bias for action and closing."},{"text":"Bonus Points","content":"Experience selling into manufacturing, logistics, food & beverage, or 3PL industries.Familiarity with RaaS or CapEx/OpEx ROI-based selling.Background in high-growth startups or early-stage commercialization."}],"salaryRange":{"min":150000,"max":200000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"All offers include generous equity, fully covered health + dental, and unlimited PTO.
","salaryDescriptionPlain":"All offers include generous equity, fully covered health + dental, and unlimited PTO.\n","text":"Account Executive","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.
We’re looking for a driven, consultative Account Executive to drive mid-market sales of our robotic palletizing solutions. You'll be responsible for owning the full sales cycle — from deal creation to close — selling to operations leaders, plant managers, and business owners in manufacturing, logistics, and 3PL environments.
The ideal candidate has experience managing 6 figure deal sizes with sales cycles under 12 months, and thrives in a fast-paced, high-impact sales environment.
","descriptionBodyPlain":"Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.\n\nWe’re looking for a driven, consultative Account Executive to drive mid-market sales of our robotic palletizing solutions. You'll be responsible for owning the full sales cycle — from deal creation to close — selling to operations leaders, plant managers, and business owners in manufacturing, logistics, and 3PL environments.\n\nThe ideal candidate has experience managing 6 figure deal sizes with sales cycles under 12 months, and thrives in a fast-paced, high-impact sales environment.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/0e325304-1d44-4354-b1ef-7619ace3a9aa","applyUrl":"https://jobs.lever.co/tutorintelligence/0e325304-1d44-4354-b1ef-7619ace3a9aa/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Customer Experience","allLocations":["Watertown, MA"]},"createdAt":1778967514140,"descriptionPlain":"The Company\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.\n \nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.\n \nThe Role\nWe're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.\nThis is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.\nThe role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.\nThis role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.\n \n","description":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
"},{"text":"Requirements","content":"\n2–5+ years of experience in a technical customer-facing role: applications engineering, field engineering, robotics deployment, solutions engineering, technical account management, or similar\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology\nComfort working hands-on with both software and physical systems, especially in real-world operational environments\nAptitude for developing deep working knowledge of complex technical systems built by others — you don't need to build it from scratch, you need to understand it deeply enough to diagnose, tune, and improve outcomes\nGenuine relationship orientation — you take pride in being trusted by customers over time, not just in delivering projects\nStrong communication skills; able to be technically credible with customer engineering and ops teams, and clear with non-technical operators and leaders\nWillingness to spend meaningful time on-site at customer facilities\n"},{"text":"Nice to haves (zero or more)","content":"\nDirect experience deploying or supporting robotics in production environments\nBackground in warehouse, manufacturing, or other industrial operations\nExperience working closely with engineering teams to diagnose and resolve technical issues — bringing field context to engineering decisions\nDeep interest in robotics, automation, or the future of physical AI\n"},{"text":"Why This Role Is Unique","content":"\nWork at the intersection of cutting-edge robotics and real-world industrial operations, helping bring advanced AI systems into factories and warehouses\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility\nJoin Tutor during a period of rapid growth and expanding deployments, where this function plays a central role in scaling our fleet\nHelp build and shape what this function looks like at Tutor, working closely with engineering, product, and operations teams\n"}],"salaryRange":{"min":80000,"max":135000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.
","salaryDescriptionPlain":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.\n","text":"Customer Engineer (Robotics)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.
We’re looking for a seasoned, consultative sales professional who thrives in enterprise environments, knows how to manage complex purchase cycles, and has a proven track record of unlocking large‐scale automation deals in warehousing, logistics, or 3PL settings. You’ll own the full sales cycle driving high-value engagements with decision-makers at large operations and industrial enterprises.
","id":"13d68538-ae2b-493e-bcb9-3a2d112066ed","lists":[{"text":"Responsibilities","content":"Lead full‐cycle enterprise sales: identify target accounts, uncover operational and technical need, build stakeholder alignment, manage procurement/purchasing processes, negotiate contracts, and close deals.Drive sales of our warehouse automation platform into large logistics, distribution, manufacturing and 3PL operations.Navigate long sales cycles (6-12 months+), large contract values (often $500K+ or multi-million), and enterprise buying rhythms (RFPs, procurement committees, capital budgeting, executive sponsorship).Build and maintain a robust pipeline of strategic opportunities, forecasting accurately and reporting in CRM (e.g., HubSpot).Work cross-functionally with deployment, product, operations, and leadership teams to ensure solution fit, successful implementation, and smooth handover post-close.Provide feedback to refine our target account strategy, ICP (ideal customer profile), commercial models, and go-to-market playbook."},{"text":"Requirements","content":"6+ years of B2B enterprise sales experience, preferably selling automation, robotics, capital equipment, software + hardware solutions, or industrial tech into large enterprises.Proven success closing deals with long sales cycles (6-12+ months) and high contract values (e.g., $500K-$2M+).Experience navigating complex buying centers: operations leadership, engineering leadership, procurement, CFO/finance teams, multi-site environments.Strong domain familiarity with warehousing, logistics, distribution, 3PL, supply chain operations, or manufacturing environments.Demonstrated ability to articulate both operational and financial value—ROI, TCO, productivity impact, CapEx vs OpEx, etc.Excellent communicator and storyteller, able to build rapport with C-suite, directors, and technical leads alike.Comfortable working in a high-growth startup environment with autonomy, but also managing the discipline of enterprise sales (forecasting, pipeline hygiene, CRM)."},{"text":"Bonus Points","content":"Experience selling within 3PL/fulfillment/warehouse automation companies.Previous exposure to robotics as a service (RaaS) or subscription/hardware-software models.Familiarity with deploying multi-site, distributed automation solutions at scale."}],"salaryRange":{"min":150000,"max":250000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"All offers include generous equity, fully covered health + dental, and unlimited PTO.
","salaryDescriptionPlain":"All offers include generous equity, fully covered health + dental, and unlimited PTO.\n","text":"Enterprise Account Executive (Robotics & Warehouse Automation)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.
We’re looking for a seasoned, consultative sales professional who thrives in enterprise environments, knows how to manage complex purchase cycles, and has a proven track record of unlocking large‐scale automation deals in warehousing, logistics, or 3PL settings. You’ll own the full sales cycle driving high-value engagements with decision-makers at large operations and industrial enterprises.
","descriptionBodyPlain":"Tutor Intelligence is a Series A robotics startup rethinking industrial automation with smarter robots, a radically better software stack, and a business model built for speed. Our core platform enables AI-powered robots-as-a-service with zero custom engineering and minimal deployment friction. That means we can drop into customer facilities at 10x lower cost and with 10x more flexibility than legacy players.\n\nWe’re looking for a seasoned, consultative sales professional who thrives in enterprise environments, knows how to manage complex purchase cycles, and has a proven track record of unlocking large‐scale automation deals in warehousing, logistics, or 3PL settings. You’ll own the full sales cycle driving high-value engagements with decision-makers at large operations and industrial enterprises.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/13d68538-ae2b-493e-bcb9-3a2d112066ed","applyUrl":"https://jobs.lever.co/tutorintelligence/13d68538-ae2b-493e-bcb9-3a2d112066ed/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Customer Experience","allLocations":["Watertown, MA"]},"createdAt":1775245641299,"descriptionPlain":"The Company\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.\nThe Role\nWe're looking for a senior, technically credible, customer-oriented leader to own a portfolio of our most strategic enterprise customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance leaders trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time. At the enterprise level, your portfolio will include some of our largest and most complex customers, often with multi-site footprints, sophisticated internal operations and engineering teams, and high expectations.\nThis is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.\nThe role is also genuinely relationship-driven, and at the enterprise level, the relationships matter even more. You'll be partnering with your customers' Directors and VPs of Operations, Engineering, and Maintenance, navigating complex internal stakeholder maps, and earning trust at multiple levels of customer organizations. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with senior customer leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.\nThis role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three, and brings the seniority to operate credibly with senior customer leaders and complex enterprise environments.\n","description":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\nThe Role
\n\n
\n
\n
We're looking for a senior, technically credible, customer-oriented leader to own a portfolio of our most strategic enterprise customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance leaders trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time. At the enterprise level, your portfolio will include some of our largest and most complex customers, often with multi-site footprints, sophisticated internal operations and engineering teams, and high expectations.
\n
\n
\n
\n
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
\n
\n
\n
\n
The role is also genuinely relationship-driven, and at the enterprise level, the relationships matter even more. You'll be partnering with your customers' Directors and VPs of Operations, Engineering, and Maintenance, navigating complex internal stakeholder maps, and earning trust at multiple levels of customer organizations. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with senior customer leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
\n
\n
\n
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three, and brings the seniority to operate credibly with senior customer leaders and complex enterprise environments.
\n
\n
\n
\n
\n
\n\n
Own a portfolio of strategic enterprise customer sites end-to-end: be the primary technical partner for each, build deep trust across multiple levels of the customer organization (from front-line operations to senior leadership), and be accountable for the operational and technical success of those deployments\nDevelop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and partner with engineering on resolution\nDiagnose and resolve operational and technical issues in your customers' real-world environments, working through software configuration, mechanical adjustments, process changes, and root-cause analysis\nPartner with our engineering team to execute technical improvements that benefit your customers — bringing context, prioritization, and field validation, rather than writing the code yourself\nNavigate complex enterprise stakeholder environments: build relationships with operations, engineering, and maintenance leaders, manage executive escalations, and ensure alignment between your customers' goals and our delivery\nTrack the health and performance of your assigned fleet — uptime, reliability, throughput, customer satisfaction — and proactively act on signals\nTranslate field reality into product insights for our engineering and product teams; be the voice of your enterprise customers in our internal roadmap conversations\nPartner with Account Executives on expansion conversations where customer success creates natural opportunities for growth across the customer's broader footprint\nHelp shape how Tutor delivers to enterprise customers as we scale — contributing to playbooks, processes, and how the function operates\n\n\n
\n
\n
\n\n
6+ years of relevant experience, in some combination of: technical customer-facing roles (applications engineering, field engineering, technical account management, solutions engineering, robotics deployment), industrial or warehouse operations management, or technical program management for deployed systems\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics operations\nDemonstrated ability to develop deep working knowledge of complex technical systems built by others — you don't need to have built it from scratch, you need to understand it deeply enough to diagnose, tune, and improve outcomes\nComfort working hands-on with both software and physical systems in real-world operational environments\nStrong track record of building trusted relationships with senior customer or partner stakeholders over time — you take pride in being the person customers call when something matters\nExperience navigating complex, multi-stakeholder environments — whether at enterprise customers or inside large operational organizations\nStrong communication skills; able to be technically credible with customer engineering and operations leaders, and clear with non-technical operators and front-line teams\nWillingness to spend meaningful time on-site at customer facilities\n\n"},{"text":"Nice to haves (zero or more)","content":"\n
\n
\n\n
Direct experience deploying or supporting robotics or automation systems in production environments\nExperience managing operations at a manufacturing, warehouse, or distribution facility — bringing the customer's perspective to the role\nExperience working closely with engineering or product teams to diagnose and resolve technical issues, and to translate field reality into product direction\nExperience owning a strategic account or portfolio of accounts in a technical, deployed-product context\nDeep interest in robotics, automation, or the future of physical AI\n\n\n
\n
\n
\n\n
Work at the intersection of cutting-edge robotics and real-world industrial operations, helping bring advanced AI systems into the largest factories and warehouses in the country\nOwn the success of strategic enterprise customers running real robots in production — your work directly determines whether the future of physical AI happens in their facilities\nJoin Tutor during a period of rapid growth and expanding enterprise deployments, where this function plays a central role in scaling our fleet\nHelp build and shape what enterprise customer success looks like at Tutor, working closely with engineering, product, and operations teams\n\n"}],"salaryRange":{"min":120000,"max":180000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.
","salaryDescriptionPlain":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.\n","text":"Enterprise Customer Success Manager (Robotics)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\nThe Role
\n\n
\n
\n
We're looking for a senior, technically credible, customer-oriented leader to own a portfolio of our most strategic enterprise customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance leaders trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time. At the enterprise level, your portfolio will include some of our largest and most complex customers, often with multi-site footprints, sophisticated internal operations and engineering teams, and high expectations.
\n
\n
\n
\n
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
\n
\n
\n
\n
The role is also genuinely relationship-driven, and at the enterprise level, the relationships matter even more. You'll be partnering with your customers' Directors and VPs of Operations, Engineering, and Maintenance, navigating complex internal stakeholder maps, and earning trust at multiple levels of customer organizations. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with senior customer leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
\n
\n
\n
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three, and brings the seniority to operate credibly with senior customer leaders and complex enterprise environments.
\n
\n
\n
\n
About Tutor
\n
We believe general-purpose, generally intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets, and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every robot we build at Tutor has a direct impact on the global, physical economy.
\n
Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We're characterized by both technical excellence and next-level collaboration and respect.
\n
\n
When a robot goes down, our customer feels it immediately — and so do we. Uptime is the promise we make every time we deploy, and we're looking for the operational leader who will own that promise across North America.
\n
At Tutor, we are motivated by atoms, not electrons — our robots do real work in real warehouses every day, and keeping them running is one of the most important jobs in the company. As our Fleet Reliability Manager, you'll build and scale the teams, systems, and processes that keep our fleet healthy: our Robotics Maintenance & Field Service Technicians and our Remote Technical Support organization. You'll own the full intersection of field service, technical support, reliability, and preventive maintenance, and partner closely with Engineering, Manufacturing, Supply Chain, Customer Success, and Deployment to reduce downtime and deliver an exceptional customer experience. This is the function that lets Tutor scale its fleet across North America.
\n
We're looking for a hands-on builder, not a caretaker. You create the process instead of waiting for one, you develop the people under you, and you're as comfortable reviewing reliability metrics in the morning as you are helping solve a critical customer escalation at night. You make good decisions with incomplete information, you lead from the front, and above all you take ownership. Specific industry backgrounds are helpful but not the point — we care about whether you can build a world-class service organization from the ground up.
\n
\n- 7+ years in field service, maintenance, reliability, automation, robotics, manufacturing, or technical operations
\n- 3+ years leading technical teams (field service techs, maintenance techs, engineers, or technical support staff)
\n- Experience developing and managing preventative maintenance programs
\n- Strong understanding of electromechanical systems, robotics, automation, controls, or material-handling equipment
\n- Track record conducting root cause analysis and driving corrective actions
\n- Established reliability metrics ownership: uptime, MTBF, MTTR, PM compliance, and fleet health
\n- Strong customer-facing communication and leadership skills
\n- Demonstrated ability to build systems, processes, and teams from the ground up
\n- Bachelor's degree in Engineering, Operations, Industrial Technology, Mechatronics, or a related field required; a Master's is a plus
\n- Ability to prioritize and execute in a fast-paced, high-growth environment
\n- Not afraid to step onto a warehouse floor — willing to travel up to 30% and support critical escalations when needed
\n
"},{"text":"Nice to haves","content":"\n- Robotics, warehouse automation, or autonomous systems experience
\n- Experience scaling a field service organization or leading a remote technical support team
\n- Experience with CMMS, ticketing, and service management systems
\n- A history of owning uptime, reliability, and service KPIs at scale
\n- Military technical leadership background
\n- Startup or high-growth company experience
\n
"}],"salaryRange":{"min":120000,"max":160000,"currency":"USD","interval":"per-year-salary"},"text":"Fleet Reliability Manager","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"\n
About Tutor
\n
We believe general-purpose, generally intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets, and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every robot we build at Tutor has a direct impact on the global, physical economy.
\n
Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We're characterized by both technical excellence and next-level collaboration and respect.
\n
The Company:
\n
\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture:
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nJob Summary:
\n
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.
\n
\n
\n
\nResponsibilities:
\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
\n-Involvement in new project planning
\n
\nPrerequisites:
\n-Strong programming skills in Python
\n-Software engineering tooling: git, unix shell, etc
\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity
\n-Passion for building things (and just getting stuff done)
\n
\nNice to Haves
\n-Experience building web applications with React
\n-Background or interest in ML or robotics
\n-Experience leading teams and projects
","id":"a8eee794-0c9c-4115-b142-34dc1224331f","lists":[{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Full Stack Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company:
\n
\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture:
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nJob Summary:
\n
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.
\n
\n
\n
\nResponsibilities:
\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
\n-Involvement in new project planning
\n
\nPrerequisites:
\n-Strong programming skills in Python
\n-Software engineering tooling: git, unix shell, etc
\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity
\n-Passion for building things (and just getting stuff done)
\n
\nNice to Haves
\n-Experience building web applications with React
\n-Background or interest in ML or robotics
\n-Experience leading teams and projects
","descriptionBodyPlain":"The Company:\n \nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture:\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nJob Summary:\n \nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.\n \n \n \nResponsibilities:\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops\n-Involvement in new project planning\n \nPrerequisites: \n-Strong programming skills in Python\n-Software engineering tooling: git, unix shell, etc\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity\n-Passion for building things (and just getting stuff done)\n \nNice to Haves\n-Experience building web applications with React\n-Background or interest in ML or robotics\n-Experience leading teams and projects\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/a8eee794-0c9c-4115-b142-34dc1224331f","applyUrl":"https://jobs.lever.co/tutorintelligence/a8eee794-0c9c-4115-b142-34dc1224331f/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1778016841924,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAs a Full Stack Software Engineer at Tutor Intelligence, you’ll design, build, and deploy user interfaces and systems which push the frontier of what robots are capable of. As a contributor to our XR applications, you will write performant, GPU-enabled frontend interfaces for observing a robot's surroundings in real-time. You will also write scalable cloud infrastructure to command and orchestrate fleets of robots.\n \n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAs a Full Stack Software Engineer at Tutor Intelligence, you’ll design, build, and deploy user interfaces and systems which push the frontier of what robots are capable of. As a contributor to our XR applications, you will write performant, GPU-enabled frontend interfaces for observing a robot's surroundings in real-time. You will also write scalable cloud infrastructure to command and orchestrate fleets of robots.
\n
","id":"9b79768a-5107-495c-a8e1-a79a60681252","lists":[{"text":"Responsibilities","content":"\nDesign and implement control interfaces for real-world robotics systems\nOwn projects end-to-end, from early concept and prototyping through production deployment\nWork closely with Engineering, Operations, Product, and Leadership to define and ship solutions\nImprove system reliability, scalability, and observability in production environments\nDebug complex systems-level issues across hardware and software\nHelp shape technical direction, best practices, and team workflows as Tutor scales\n"},{"text":"Requirements","content":"\n\n
Strong foundations in Python and React\nExperience operating in fast-moving, resource-constrained environments\nClear communicator who collaborates well across technical and non-technical teams\nStrong sense of ownership and a bias toward shipping meaningful work\nGenuine interest in robotics, AI, and solving hard real-world problems\n\n"},{"text":"Nice to Haves","content":"\n\n
Experience in computer graphics, realtime rendering, or XR applications\nExperience in robotics\nPrior startup experience, especially at early or growth-stage companies\nInterest in technical leadership, mentorship, or project ownership\n\n"},{"text":"Compensation and Benefits","content":"\nCompetitive salary and meaningful equity\nFully employer-covered health and dental insurance\n401(k)\nUnlimited PTO\nRegular in-office meals and team events\nA collaborative, low-ego environment where people are trusted to do their best work\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Full Stack Software Engineer (XR Applications)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAs a Full Stack Software Engineer at Tutor Intelligence, you’ll design, build, and deploy user interfaces and systems which push the frontier of what robots are capable of. As a contributor to our XR applications, you will write performant, GPU-enabled frontend interfaces for observing a robot's surroundings in real-time. You will also write scalable cloud infrastructure to command and orchestrate fleets of robots.
\n
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAs a Full Stack Software Engineer at Tutor Intelligence, you’ll design, build, and deploy user interfaces and systems which push the frontier of what robots are capable of. As a contributor to our XR applications, you will write performant, GPU-enabled frontend interfaces for observing a robot's surroundings in real-time. You will also write scalable cloud infrastructure to command and orchestrate fleets of robots.\n \n","hostedUrl":"https://jobs.lever.co/tutorintelligence/9b79768a-5107-495c-a8e1-a79a60681252","applyUrl":"https://jobs.lever.co/tutorintelligence/9b79768a-5107-495c-a8e1-a79a60681252/apply"},{"additional":"","additionalPlain":"","categories":{"location":"Watertown, MA","team":"G&A","allLocations":["Watertown, MA"]},"createdAt":1780338981784,"description":"","descriptionPlain":"","id":"58db5da5-1286-4b92-bf1a-9810ea147f93","lists":[{"text":"About Tutor","content":"We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI software company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
\nOur Culture
\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
"},{"text":"About the Role","content":"\n
Are you a recruiter who thrives in fast-moving environments and gets energized by finding the right person for a hard-to-fill role? At Tutor Intelligence, we're building the commercial and customer-facing teams that bring cutting-edge robotics AI to market — and we need a sharp, full-cycle recruiter to help us do it.
\n
Tutor is deploying robotics AI into factories and warehouses across the country, and the people who make that happen on the ground — AEs, SDRs, Customer Success Managers, Deployment Managers — are critical to our growth. As our CX/GTM Recruiter, you'll own the full recruiting lifecycle for these roles: sourcing, screening, coordinating, and closing. You'll partner closely with hiring managers across our GTM and Customer Experience teams, and report into the Head of People Strategy.
\n
We're looking for someone who is proactive, communicative, and deeply candidate-focused. You know how to build a pipeline from scratch, move candidates through a process without losing them, and represent a company's mission in a way that makes people genuinely excited to join. You take seriously the fact that you're often the first person a candidate ever talks to at Tutor — you understand that every interaction is a reflection of who we are, and you bring the same care and intentionality to a first outreach message as you do to closing an offer.
\n
\n\n
2+ years of full-cycle recruiting experience, with a focus on GTM or CX roles (AEs, SDRs, Customer Success, or similar)\nProven ability to manage multiple open requisitions simultaneously without dropping the ball on candidate experience\nStrong sourcing skills — you're not waiting for inbound applicants, you're going to find the right people\nClear, compelling communicator — in writing and on the phone\nOrganized and process-oriented; you keep the ATS clean and hiring managers informed\nFamiliarity with ATS platforms (we currently use Lever)\n\n\n
\nNice to Haves (Zero or More)
\n\n\n
Experience recruiting at an early-stage startup (Series A–C)\nBackground in industrial tech, manufacturing, or operations-heavy businesses\nFamiliarity with both sales and post-sales hiring (the full commercial org)\nNetwork in Boston/Cambridge GTM or operations talent communities\n\n"},{"text":"What You'll Own","content":"\nFull-cycle recruiting for GTM and CX roles — AEs, SDRs, Customer Success Managers, Deployment Managers, and more as we grow\nBuilding and maintaining active pipelines for key roles, balancing inbound and outbound sourcing\nPartnering with hiring managers to define role requirements, align on profiles, and move searches forward efficiently\nDelivering a candidate experience that reflects Tutor's culture and values at every touchpoint\nKeeping recruiting data and reporting current in Lever\nPartnering with the People Ops Manager to ensure a smooth handoff from offer acceptance to day one, so every new hire feels set up for success before they even walk in the door\n\n"}],"salaryRange":{"min":85000,"max":136000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"15–20% variable compensation
\n
\nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"15–20% variable compensation\n \nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Go To Market Recruiter","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/tutorintelligence/58db5da5-1286-4b92-bf1a-9810ea147f93","applyUrl":"https://jobs.lever.co/tutorintelligence/58db5da5-1286-4b92-bf1a-9810ea147f93/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1738510149445,"descriptionPlain":"The Company:\nwork in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nJob Summary:\n \nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.\n \n","description":"The Company:
\n\n
work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nJob Summary:
\n
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.
\n
","id":"edfaea6a-2423-4516-83d5-a3636ff35cba","lists":[{"text":"Responsibilities","content":"\nArchitecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops\nInvolvement in new project planning\n"},{"text":"Prerequisites","content":"\nStrong programming skills in Python\nSoftware engineering tooling: git, unix shell, etc\nCollaborative nature and social skill set\nInterest in robotics, AI, solving hard problems, or improving the future of humanity\nPassion for building things (and just getting stuff done)\n"},{"text":"Nice to Haves","content":"\nExperience building web applications with React\nBackground or interest in ML or robotics\nExperience leading teams and projects\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Platform Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company:
\n\n
work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nJob Summary:
\n
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.
\n
","descriptionBodyPlain":"The Company:\nwork in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nJob Summary:\n \nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.\n \n","hostedUrl":"https://jobs.lever.co/tutorintelligence/edfaea6a-2423-4516-83d5-a3636ff35cba","applyUrl":"https://jobs.lever.co/tutorintelligence/edfaea6a-2423-4516-83d5-a3636ff35cba/apply"},{"additional":"","additionalPlain":"","categories":{"location":"Watertown, MA","team":"G&A","allLocations":["Watertown, MA"]},"createdAt":1780339293251,"description":"","descriptionPlain":"","id":"daf14527-cf72-4ae2-9fff-7b54374e3a1e","lists":[{"text":"About Tutor","content":"We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI software company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
\nOur Culture
\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
"},{"text":"About the Role","content":"\n
Are you a recruiter who's energized by hard searches, big missions, and work that actually matters? At Tutor Intelligence, recruiting isn't a support function — it's one of the most strategic levers in the company. We're looking for a Recruiting Lead who can operate at the intersection of talent and business strategy, and who gets genuine satisfaction from building something great.
\n
Tutor is deploying cutting-edge robotics AI into factories and warehouses across the country, and scaling that mission requires world-class people — engineers pushing the frontier of what robots can do, operators who thrive in complex environments, and commercial leaders who can bring this technology to market. As our Recruiting Lead, you'll be the person who finds them, closes them, and builds the team and systems to do it at scale. You'll report into the Head of People Strategy and work closely with senior leadership and hiring managers across the org, shaping not just who we hire, but how we think about talent.
\n
We're looking for someone with sharp recruiting instincts and a builder's mindset. You've closed competitive searches across all areas of an organization and you know how to sell a mission, not just a job description. You're equally comfortable sourcing a passive candidate, coaching a hiring manager through a tough decision, and designing the process that makes the next ten searches run more smoothly. And you take seriously the fact that you're often the first person a candidate ever talks to at Tutor — you understand that every interaction is a reflection of who we are, and you bring the same care and intentionality to a first outreach message as you do to closing an offer.
\n
\n\n
5+ years of full-cycle recruiting experience, ideally spanning both technical (software/ML/robotics) and GTM/CX roles\nDemonstrated experience building or scaling a recruiting function, not just executing within one\nProven ability to close senior and hard-to-find candidates in competitive markets\nStrong sourcing instincts — you know how to find people who aren't looking\nExperience partnering directly with senior leadership as a thought partner on talent strategy\nComfortable operating in ambiguity; you create structure, you don't wait for it\nStrong written and verbal communication — you can sell Tutor's mission compellingly\nFamiliarity with ATS platforms (we currently use Lever) and recruiting tooling\n\n\n
\nNice to Haves (Zero or More)
\n\n\n
Experience recruiting at an early-stage startup (Series A–C)\nBackground recruiting for robotics, industrial automation, manufacturing tech, or deep tech companies\nExperience managing or mentoring junior recruiters or coordinators\nFamiliarity with compensation benchmarking and offer structuring\nNetwork in Boston/Cambridge technical or operations talent communities\n\n"},{"text":"What You'll Own","content":"\nFull-cycle recruiting across all open roles — near-term priority on a CX/GTM Recruiter and a Technical Recruiter\nBuilding and structuring a recruiting team over the next 12 months\nDeveloping and owning Tutor's employer brand, candidate experience, and sourcing strategy\nPartnering with the Head of People Strategy and other senior leadership to define hiring plans and workforce strategy as we scale\nSetting recruiting metrics, reporting, and process standards across the org\n\n"}],"salaryRange":{"min":137000,"max":174000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"15–20% variable compensation
\n
\nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"15–20% variable compensation\n \nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Recruiting Lead","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/tutorintelligence/daf14527-cf72-4ae2-9fff-7b54374e3a1e","applyUrl":"https://jobs.lever.co/tutorintelligence/daf14527-cf72-4ae2-9fff-7b54374e3a1e/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Research","allLocations":["Watertown, MA"]},"createdAt":1754848311709,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research engineer, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.\n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research engineer, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
","id":"f772d72b-0662-410e-b708-ce7ed3b7f163","lists":[{"text":"Requirements","content":"\nExceptionally strong programming skills and comfort in one or more programming languages\nNatural collaborator, excited to work closely around a whiteboard in a team setting\nExcited by the future full of robots and a reshaped physical economy\nNot afraid to step foot in a factory or a warehouse\n"},{"text":"Nice to haves (zero or more)","content":"\nAdvanced proficiency with Python and/or Typescript + React\nExperience with robot arms / manipulation\nExperience with motion planning and robot optimization\nExperience with perception or computer vision (deep or classical)\nExperience with infra and devtools (systemd, Docker, Kubernetes)\nExperience with hardware / software integration\n"}],"salaryRange":{"min":90000,"max":190000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Research Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research engineer, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research engineer, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/f772d72b-0662-410e-b708-ce7ed3b7f163","applyUrl":"https://jobs.lever.co/tutorintelligence/f772d72b-0662-410e-b708-ce7ed3b7f163/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Hardware","allLocations":["Watertown, MA"]},"createdAt":1765460828422,"description":"","descriptionPlain":"","id":"e133da54-0426-4399-8c9d-ee3a00f925d2","lists":[{"text":"About Tutor","content":"We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
\nOur Culture
\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n"},{"text":"About the Role","content":"\n
Tutor Intelligence is seeking a robot electrical engineer to ideate, prototype, iterate, deploy, and scale up new robot electrical systems. This mostly comes down to power electronics and PCB design, with a whole bunch of firmware.
\n
\n
Example projects you might work on:
\n\n
Motor control boards\n
Power distribution boards\n
Battery management systems\n
Actuator selection and integration\n
Sensor selection and integration\n\n
\n\n
Experience with PCBs and/or power electronics\nBuilt a lot of stuff\nLikes to design hardware\nCreative\nCan push projects forward\nCan learn / figure out pretty much anything\n\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robot Electrical Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/tutorintelligence/e133da54-0426-4399-8c9d-ee3a00f925d2","applyUrl":"https://jobs.lever.co/tutorintelligence/e133da54-0426-4399-8c9d-ee3a00f925d2/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Robot Operations","allLocations":["Watertown, MA"]},"createdAt":1731527870931,"descriptionPlain":"Tutor Intelligence, an MIT robotics startup, has developed a novel no-code interface to instruct robots on new tasks. We are deploying this technology to factories and warehouses across America, and are growing our team to support 24-7 operations.\n \nThis is an operational role - perfect for someone who is looking to get involved with technology and join a fast-moving startup. In this role, you will work to keep the robots in the field happy and healthy. Your responsibilities include:\n \n* Instructing robots via a web-based portal\n* Responding to customer support calls and resolving technical issues\n* Learning protocols for diagnosing and solving robot issues\n* Tracking robot performance and providing feedback to engineering\n* Reporting bugs and testing new features\n \nThis role is shift-based and requires regular weekend coverage.\n \nShift 1: 6:30am – 3:30pm\nShift 2: 3pm – 11pm\nShift 3: 11pm – 7am (Overnight)\nShift 4: 11am – 7pm (Sat–Weds)\n \nWe have weekend and holiday operations, which mean you will be scheduled for at least one weekend day and holidays (as needed).\n \nThis opportunity comes with benefits, including health insurance. We are fully in-person in Watertown MA, with parking onsite.\n \nWe are a startup looking for people who are eager and excited to do what they can, to ensure the team is making progress and our mission is successful. If this sounds like you (and you don’t mind hanging with a bunch of robot nerds :), then we look forward to your application!\n","description":"Tutor Intelligence, an MIT robotics startup, has developed a novel no-code interface to instruct robots on new tasks. We are deploying this technology to factories and warehouses across America, and are growing our team to support 24-7 operations.
\n
\nThis is an operational role - perfect for someone who is looking to get involved with technology and join a fast-moving startup. In this role, you will work to keep the robots in the field happy and healthy. Your responsibilities include:
\n
\n* Instructing robots via a web-based portal
\n* Responding to customer support calls and resolving technical issues
\n* Learning protocols for diagnosing and solving robot issues
\n* Tracking robot performance and providing feedback to engineering
\n* Reporting bugs and testing new features
\n
\nThis role is shift-based and requires regular weekend coverage.
\n
\nShift 1: 6:30am – 3:30pm
\nShift 2: 3pm – 11pm
\nShift 3: 11pm – 7am (Overnight)
\nShift 4: 11am – 7pm (Sat–Weds)
\n
\nWe have weekend and holiday operations, which mean you will be scheduled for at least one weekend day and holidays (as needed).
\n
\nThis opportunity comes with benefits, including health insurance. We are fully in-person in Watertown MA, with parking onsite.
\n
\nWe are a startup looking for people who are eager and excited to do what they can, to ensure the team is making progress and our mission is successful. If this sounds like you (and you don’t mind hanging with a bunch of robot nerds :), then we look forward to your application!
","id":"e253af81-a899-4b4a-90c6-1f5042f75662","lists":[],"salaryRange":{"min":20,"max":23,"currency":"USD","interval":"per-hour-wage"},"text":"Robot Operator","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"Tutor Intelligence, an MIT robotics startup, has developed a novel no-code interface to instruct robots on new tasks. We are deploying this technology to factories and warehouses across America, and are growing our team to support 24-7 operations.
\n
\nThis is an operational role - perfect for someone who is looking to get involved with technology and join a fast-moving startup. In this role, you will work to keep the robots in the field happy and healthy. Your responsibilities include:
\n
\n* Instructing robots via a web-based portal
\n* Responding to customer support calls and resolving technical issues
\n* Learning protocols for diagnosing and solving robot issues
\n* Tracking robot performance and providing feedback to engineering
\n* Reporting bugs and testing new features
\n
\nThis role is shift-based and requires regular weekend coverage.
\n
\nShift 1: 6:30am – 3:30pm
\nShift 2: 3pm – 11pm
\nShift 3: 11pm – 7am (Overnight)
\nShift 4: 11am – 7pm (Sat–Weds)
\n
\nWe have weekend and holiday operations, which mean you will be scheduled for at least one weekend day and holidays (as needed).
\n
\nThis opportunity comes with benefits, including health insurance. We are fully in-person in Watertown MA, with parking onsite.
\n
\nWe are a startup looking for people who are eager and excited to do what they can, to ensure the team is making progress and our mission is successful. If this sounds like you (and you don’t mind hanging with a bunch of robot nerds :), then we look forward to your application!
","descriptionBodyPlain":"Tutor Intelligence, an MIT robotics startup, has developed a novel no-code interface to instruct robots on new tasks. We are deploying this technology to factories and warehouses across America, and are growing our team to support 24-7 operations.\n \nThis is an operational role - perfect for someone who is looking to get involved with technology and join a fast-moving startup. In this role, you will work to keep the robots in the field happy and healthy. Your responsibilities include:\n \n* Instructing robots via a web-based portal\n* Responding to customer support calls and resolving technical issues\n* Learning protocols for diagnosing and solving robot issues\n* Tracking robot performance and providing feedback to engineering\n* Reporting bugs and testing new features\n \nThis role is shift-based and requires regular weekend coverage.\n \nShift 1: 6:30am – 3:30pm\nShift 2: 3pm – 11pm\nShift 3: 11pm – 7am (Overnight)\nShift 4: 11am – 7pm (Sat–Weds)\n \nWe have weekend and holiday operations, which mean you will be scheduled for at least one weekend day and holidays (as needed).\n \nThis opportunity comes with benefits, including health insurance. We are fully in-person in Watertown MA, with parking onsite.\n \nWe are a startup looking for people who are eager and excited to do what they can, to ensure the team is making progress and our mission is successful. If this sounds like you (and you don’t mind hanging with a bunch of robot nerds :), then we look forward to your application!\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/e253af81-a899-4b4a-90c6-1f5042f75662","applyUrl":"https://jobs.lever.co/tutorintelligence/e253af81-a899-4b4a-90c6-1f5042f75662/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1765935722965,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nPerception Engineer\nAs a Perception Engineer at Tutor Intelligence, you’ll design, build, and deploy perception systems across RGB, depth, LiDAR, and other sensing modalities. You’ll work on core problems in SLAM, segmentation, tracking, and grasp planning, helping turn real-world sensor data into reliable, production-ready autonomy.\n \nWhat You’ll Do\nDesign and implement perception modules used in real-world robotic systems\nOwn projects end-to-end, from early concept and prototyping through production deployment\nWork closely with Engineering, Operations, Product, and Leadership to define and ship solutions\nImprove system reliability, scalability, and observability in production environments\nDebug complex perception and systems-level issues across hardware and software\nHelp shape technical direction, best practices, and team workflows as Tutor scales\n \nWho You Are\n3+ years of experience in perception, robotics, or a closely related engineering role\nStrong foundations in computer vision, robotics, or related fields\nComfortable writing production-quality code (e.g. C++, Python) and working with real sensor data\nExperience operating in fast-moving, resource-constrained environments\nClear communicator who collaborates well across technical and non-technical teams\nStrong sense of ownership and a bias toward shipping meaningful work\nGenuine interest in robotics, AI, and solving hard real-world problems\n \nNice to Haves\nExperience with SLAM, multi-sensor fusion, or manipulation / grasp planning\nHands-on work with robots in production or fielded environments\nPrior startup experience, especially at early or growth-stage companies\nExposure to 24/7 systems, operational tooling, or customer-facing deployments\nInterest in technical leadership, mentorship, or project ownership\n \n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nPerception Engineer
\nAs a Perception Engineer at Tutor Intelligence, you’ll design, build, and deploy perception systems across RGB, depth, LiDAR, and other sensing modalities. You’ll work on core problems in SLAM, segmentation, tracking, and grasp planning, helping turn real-world sensor data into reliable, production-ready autonomy.
\n
\nWhat You’ll Do
\n\n- Design and implement perception modules used in real-world robotic systems
\n- Own projects end-to-end, from early concept and prototyping through production deployment
\n- Work closely with Engineering, Operations, Product, and Leadership to define and ship solutions
\n- Improve system reliability, scalability, and observability in production environments
\n- Debug complex perception and systems-level issues across hardware and software
\n- Help shape technical direction, best practices, and team workflows as Tutor scales
\n
\n
\nWho You Are
\n\n- 3+ years of experience in perception, robotics, or a closely related engineering role
\n- Strong foundations in computer vision, robotics, or related fields
\n- Comfortable writing production-quality code (e.g. C++, Python) and working with real sensor data
\n- Experience operating in fast-moving, resource-constrained environments
\n- Clear communicator who collaborates well across technical and non-technical teams
\n- Strong sense of ownership and a bias toward shipping meaningful work
\n- Genuine interest in robotics, AI, and solving hard real-world problems
\n
\n
\nNice to Haves
\n\n- Experience with SLAM, multi-sensor fusion, or manipulation / grasp planning
\n- Hands-on work with robots in production or fielded environments
\n- Prior startup experience, especially at early or growth-stage companies
\n- Exposure to 24/7 systems, operational tooling, or customer-facing deployments
\n- Interest in technical leadership, mentorship, or project ownership
\n
\n
","id":"43debdc2-5514-4aff-a762-dd84f6c52ae0","lists":[{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robot Perception Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nPerception Engineer
\nAs a Perception Engineer at Tutor Intelligence, you’ll design, build, and deploy perception systems across RGB, depth, LiDAR, and other sensing modalities. You’ll work on core problems in SLAM, segmentation, tracking, and grasp planning, helping turn real-world sensor data into reliable, production-ready autonomy.
\n
\nWhat You’ll Do
\n\n- Design and implement perception modules used in real-world robotic systems
\n- Own projects end-to-end, from early concept and prototyping through production deployment
\n- Work closely with Engineering, Operations, Product, and Leadership to define and ship solutions
\n- Improve system reliability, scalability, and observability in production environments
\n- Debug complex perception and systems-level issues across hardware and software
\n- Help shape technical direction, best practices, and team workflows as Tutor scales
\n
\n
\nWho You Are
\n\n- 3+ years of experience in perception, robotics, or a closely related engineering role
\n- Strong foundations in computer vision, robotics, or related fields
\n- Comfortable writing production-quality code (e.g. C++, Python) and working with real sensor data
\n- Experience operating in fast-moving, resource-constrained environments
\n- Clear communicator who collaborates well across technical and non-technical teams
\n- Strong sense of ownership and a bias toward shipping meaningful work
\n- Genuine interest in robotics, AI, and solving hard real-world problems
\n
\n
\nNice to Haves
\n\n- Experience with SLAM, multi-sensor fusion, or manipulation / grasp planning
\n- Hands-on work with robots in production or fielded environments
\n- Prior startup experience, especially at early or growth-stage companies
\n- Exposure to 24/7 systems, operational tooling, or customer-facing deployments
\n- Interest in technical leadership, mentorship, or project ownership
\n
\n
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nPerception Engineer\nAs a Perception Engineer at Tutor Intelligence, you’ll design, build, and deploy perception systems across RGB, depth, LiDAR, and other sensing modalities. You’ll work on core problems in SLAM, segmentation, tracking, and grasp planning, helping turn real-world sensor data into reliable, production-ready autonomy.\n \nWhat You’ll Do\nDesign and implement perception modules used in real-world robotic systems\nOwn projects end-to-end, from early concept and prototyping through production deployment\nWork closely with Engineering, Operations, Product, and Leadership to define and ship solutions\nImprove system reliability, scalability, and observability in production environments\nDebug complex perception and systems-level issues across hardware and software\nHelp shape technical direction, best practices, and team workflows as Tutor scales\n \nWho You Are\n3+ years of experience in perception, robotics, or a closely related engineering role\nStrong foundations in computer vision, robotics, or related fields\nComfortable writing production-quality code (e.g. C++, Python) and working with real sensor data\nExperience operating in fast-moving, resource-constrained environments\nClear communicator who collaborates well across technical and non-technical teams\nStrong sense of ownership and a bias toward shipping meaningful work\nGenuine interest in robotics, AI, and solving hard real-world problems\n \nNice to Haves\nExperience with SLAM, multi-sensor fusion, or manipulation / grasp planning\nHands-on work with robots in production or fielded environments\nPrior startup experience, especially at early or growth-stage companies\nExposure to 24/7 systems, operational tooling, or customer-facing deployments\nInterest in technical leadership, mentorship, or project ownership\n \n","hostedUrl":"https://jobs.lever.co/tutorintelligence/43debdc2-5514-4aff-a762-dd84f6c52ae0","applyUrl":"https://jobs.lever.co/tutorintelligence/43debdc2-5514-4aff-a762-dd84f6c52ae0/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Customer Experience","allLocations":["Watertown, MA"]},"createdAt":1778967606873,"descriptionPlain":"The Company\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.\n \nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.\n \nThe Role\nWe're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.\nThis is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.\nThe role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.\nThis role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.\n \n","description":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
"},{"text":"Requirements","content":"\n2–5+ years of experience in a technical customer-facing role: applications engineering, field engineering, robotics deployment, solutions engineering, technical account management, or similar\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology\nComfort working hands-on with both software and physical systems, especially in real-world operational environments\nAptitude for developing deep working knowledge of complex technical systems built by others — you don't need to build it from scratch, you need to understand it deeply enough to diagnose, tune, and improve outcomes\nGenuine relationship orientation — you take pride in being trusted by customers over time, not just in delivering projects\nStrong communication skills; able to be technically credible with customer engineering and ops teams, and clear with non-technical operators and leaders\nWillingness to spend meaningful time on-site at customer facilities\n"},{"text":"Nice to haves (zero or more)","content":"\nDirect experience deploying or supporting robotics in production environments\nBackground in warehouse, manufacturing, or other industrial operations\nExperience working closely with engineering teams to diagnose and resolve technical issues — bringing field context to engineering decisions\nDeep interest in robotics, automation, or the future of physical AI\n"},{"text":"Why This Role Is Unique","content":"\nWork at the intersection of cutting-edge robotics and real-world industrial operations, helping bring advanced AI systems into factories and warehouses\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility\nJoin Tutor during a period of rapid growth and expanding deployments, where this function plays a central role in scaling our fleet\nHelp build and shape what this function looks like at Tutor, working closely with engineering, product, and operations teams\n"}],"salaryRange":{"min":80000,"max":135000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.
","salaryDescriptionPlain":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.\n","text":"Robotics Applications Customer Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
"},{"text":"Requirements","content":"\n2–5+ years of experience in a technical customer-facing role: applications engineering, field engineering, robotics deployment, solutions engineering, technical account management, or similar\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology\nComfort working hands-on with both software and physical systems, especially in real-world operational environments\nAptitude for developing deep working knowledge of complex technical systems built by others — you don't need to build it from scratch, you need to understand it deeply enough to diagnose, tune, and improve outcomes\nGenuine relationship orientation — you take pride in being trusted by customers over time, not just in delivering projects\nStrong communication skills; able to be technically credible with customer engineering and ops teams, and clear with non-technical operators and leaders\nWillingness to spend meaningful time on-site at customer facilities\n"},{"text":"Nice to haves (zero or more)","content":"\nDirect experience deploying or supporting robotics in production environments\nBackground in warehouse, manufacturing, or other industrial operations\nExperience working closely with engineering teams to diagnose and resolve technical issues — bringing field context to engineering decisions\nDeep interest in robotics, automation, or the future of physical AI\n"},{"text":"Why This Role Is Unique","content":"\nWork at the intersection of cutting-edge robotics and real-world industrial operations, helping bring advanced AI systems into factories and warehouses\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility\nJoin Tutor during a period of rapid growth and expanding deployments, where this function plays a central role in scaling our fleet\nHelp build and shape what this function looks like at Tutor, working closely with engineering, product, and operations teams\n"}],"salaryRange":{"min":80000,"max":135000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.
","salaryDescriptionPlain":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.\n","text":"Robotics Field Solutions Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
\n
We're looking for a technically credible, customer-oriented engineer to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
\n
\n
This isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right.
\n
\n
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and rely on you. You'll spend real time on-site at your facilities, remote time on diagnosis, tuning, and building, and ongoing time partnering with your customers' engineering and operations leaders. Your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership — and the right person is energized by all three.
\n
\n
\n
\n\n
Own a portfolio of customer sites end-to-end: be the primary technical partner for each, build deep trust with their operations, engineering, and maintenance teams, and be accountable for the operational and technical success of those deployments.\n
Automate yourself out of the repetitive work. Convert recurring manual interventions into tooling, scripts, and playbooks that your customers and our remote team can run without you. The fleet grows; your manual workload shouldn't. This is the core of the job, not a side effect.\n
Develop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and build real solutions at the boundary of the product.\n
Diagnose and resolve ambiguous, multi-factor issues in real-world environments — across software configuration, mechanical adjustment, process change, and root-cause analysis — and own the ones with no playbook yet.\n
Partner with engineering on the deeper fixes: package high-confidence cases with repro conditions, logs, and a likely root cause, and bring field validation rather than just a complaint.\n
Track the health and performance of your fleet — uptime, reliability, throughput, customer satisfaction — and act proactively on early signals.\n
Be the voice of your customers in our internal roadmap conversations; translate field reality into structured product insight.\n
Partner with Account Executives on expansion conversations, where operational success creates natural openings for growth.\n\n
\n
You clear a real technical floor, and then we select hard on judgment and people skills. Both halves matter; the second is what we weight most.
\nThe technical floor (pass/fail):
\n\n3–7+ years in a technical, ideally customer-facing role: applications/field engineering, robotics deployment, solutions engineering, technical account management, or similar.\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology.\nComfortable working hands-on with both software and physical systems in messy operational environments. You can read logs and telemetry, reason about a system you didn't build, and write the scripts/tooling to automate a manual process — you don't need to have built the robot from scratch.\n\nWhat we actually rank on:
\n\nThrives in ambiguity — can take a vague, half-described, multi-factor problem with no clear owner and drive it to resolution. This is the single quality we weight most heavily.\nStrong judgment about what to fix yourself, what to automate, and what to escalate.\nGenuine relationship orientation — you take pride in being trusted by a customer over years, not just in shipping a project.\nClear communication in both directions: technically credible with customer engineering and ops teams, and plain-spoken with non-technical operators and leaders.\n\nThe reality of the job:
\n\nRoughly 30% travel to customer sites. The work happens on factory and warehouse floors — early shifts, PPE, noise, and real industrial environments. If that energizes you, great; if it doesn't, this isn't the role.\n\n
"},{"text":"Nice to haves (zero or more)","content":"\nDirect experience deploying or supporting robotics in production.\nBackground in warehouse, manufacturing, or other industrial operations.\nExperience bringing field context into engineering decisions to resolve technical issues.\nDeep interest in robotics, automation, or the future of physical AI.\n"},{"text":"Why This Role Is Unique","content":"\nWork at the intersection of cutting-edge robotics and real-world industrial operations.\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility.\nJoin during a period of rapid growth, where this function is central to scaling the fleet.\nHelp define what this function looks like at Tutor — you'll be among the people who build the tooling and playbooks that later hires inherit.\n"}],"salaryRange":{"min":80000,"max":160000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.
","salaryDescriptionPlain":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.\n","text":"Robotics Forward Deployed Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
\n
We're looking for a technically credible, customer-oriented engineer to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
\n
\n
This isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right.
\n
\n
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and rely on you. You'll spend real time on-site at your facilities, remote time on diagnosis, tuning, and building, and ongoing time partnering with your customers' engineering and operations leaders. Your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership — and the right person is energized by all three.
\n
\n
\n
\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robotics Hardware Engineer (Mechanical/Electrical)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/tutorintelligence/39a831e6-f70f-4b96-a57d-97a592b0ab65","applyUrl":"https://jobs.lever.co/tutorintelligence/39a831e6-f70f-4b96-a57d-97a592b0ab65/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1775864029307,"descriptionPlain":"\nRobotics Infrastructure Engineer: Systems, Infrastructure & Reliability\n The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect. \nAbout the Role\nWe build robots that run 24/7 in production environments. We're looking for a hands-on engineer to own the reliability, infrastructure, and developer tooling that keeps our fleet running and our engineering team fast. You'll split your time between robot-side systems work, cloud infrastructure, and building automation that multiplies the team's output.\nA significant portion of this role involves working with AI coding agents. You'll direct autonomous agents to diagnose CI failures, triage production issues, run automated security and compliance checks, and execute multi-step engineering tasks. Knowing how to scope work for an agent, review its output critically, and build tooling that agents can use effectively is as important as writing the code yourself.\nWhat You'll Do\nOwn robot-side software (Python): Maintain the on-robot codebase that orchestrates arms, cameras, sensors, and I/O. Debug production hardware/software failures and ship fixes fast\nBuild and maintain infrastructure as code: Manage cloud infrastructure — identity and access management, CI/CD credentials, secrets, container registries, cluster autoscaling — using declarative configuration and reproducible builds\nDrive build system and packaging migrations: Own the transition of robot software packaging to reproducible, hermetic build systems. Maintain machine images, dev environments, and deployment pipelines\nBuild simulation and testing infrastructure: Develop end-to-end simulation systems that validate robot behavior without physical hardware — camera projection, kinematics, placement validation, fleet-wide calibration\nDevelop and operate AI-powered engineering automation: Build autonomous agents that run nightly CI triage, security audits, infrastructure compliance checks, and code quality sweeps. Design the interfaces and instructions that make agents effective at real engineering work\nImprove observability and health monitoring: Instrument robot software with metrics and structured telemetry. Build alerting that catches problems before humans notice them\nWork across the stack: Touch frontend, backend, protobuf definitions, deployment tooling, and cloud services as needed. No part of the system is someone else's problem\nWhat We're Looking For\n3+ years of Python in a systems context — not web/ML Python, but the kind where you deal with processes, hardware I/O, async, and real-time constraints\nStrong Linux systems knowledge: Memory management, device management, systemd, containers, networking, kernel tuning\nInfrastructure as code experience: Declarative infrastructure and configuration management tools. You've managed IAM, CI runners, secrets, and machine images programmatically\nExperience with real hardware: Robot arms, depth cameras, grippers, force/torque sensors, pneumatics, or similar\nCI/CD ownership: You've not just used CI — you've owned it. Runner infrastructure, flaky test triage, build caching, GPU-enabled pipelines\nComfort with AI coding agents: You've used tools like Claude Code, Cursor, Copilot Workspace, or similar to do real engineering work — not just autocomplete, but directing agents through multi-step debugging, refactoring, and infrastructure tasks. You understand their failure modes and know when to trust vs. verify\nStrong debugging instincts: You can go from a vague production symptom to root cause across hardware, OS, network, and application layers\nBias toward shipping over perfecting: You fix, monitor, iterate. Your commit history has more fix: than feat: and you're proud of that\nNice to Have\nNixOS or reproducible build system experience\nExperience building or operating autonomous engineering agents/bots\nRobotics simulation (kinematics, camera models, physics)\ngRPC / Protocol Buffers\nManaged network infrastructure, VPNs, overlay networks\nTime-series databases and observability stacks\nAbout the Work Style\nThis is a high-autonomy, high-output role. On a typical day you might direct an AI agent to triage overnight CI failures while you debug a production robot issue, then spend the afternoon migrating a package to a new build system. You'll write a lot of code, but you'll also write a lot of prompts — and the best candidates will see those as the same skill.\n","description":"
\nRobotics Infrastructure Engineer: Systems, Infrastructure & Reliability
\n The Company
\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\nOur Culture
\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\nAbout the Role
\nWe build robots that run 24/7 in production environments. We're looking for a hands-on engineer to own the reliability, infrastructure, and developer tooling that keeps our fleet running and our engineering team fast. You'll split your time between robot-side systems work, cloud infrastructure, and building automation that multiplies the team's output.
\nA significant portion of this role involves working with AI coding agents. You'll direct autonomous agents to diagnose CI failures, triage production issues, run automated security and compliance checks, and execute multi-step engineering tasks. Knowing how to scope work for an agent, review its output critically, and build tooling that agents can use effectively is as important as writing the code yourself.
\nWhat You'll Do
\n\n- Own robot-side software (Python): Maintain the on-robot codebase that orchestrates arms, cameras, sensors, and I/O. Debug production hardware/software failures and ship fixes fast
\n- Build and maintain infrastructure as code: Manage cloud infrastructure — identity and access management, CI/CD credentials, secrets, container registries, cluster autoscaling — using declarative configuration and reproducible builds
\n- Drive build system and packaging migrations: Own the transition of robot software packaging to reproducible, hermetic build systems. Maintain machine images, dev environments, and deployment pipelines
\n- Build simulation and testing infrastructure: Develop end-to-end simulation systems that validate robot behavior without physical hardware — camera projection, kinematics, placement validation, fleet-wide calibration
\n- Develop and operate AI-powered engineering automation: Build autonomous agents that run nightly CI triage, security audits, infrastructure compliance checks, and code quality sweeps. Design the interfaces and instructions that make agents effective at real engineering work
\n- Improve observability and health monitoring: Instrument robot software with metrics and structured telemetry. Build alerting that catches problems before humans notice them
\n- Work across the stack: Touch frontend, backend, protobuf definitions, deployment tooling, and cloud services as needed. No part of the system is someone else's problem
\n
\nWhat We're Looking For
\n\n- 3+ years of Python in a systems context — not web/ML Python, but the kind where you deal with processes, hardware I/O, async, and real-time constraints
\n- Strong Linux systems knowledge: Memory management, device management, systemd, containers, networking, kernel tuning
\n- Infrastructure as code experience: Declarative infrastructure and configuration management tools. You've managed IAM, CI runners, secrets, and machine images programmatically
\n- Experience with real hardware: Robot arms, depth cameras, grippers, force/torque sensors, pneumatics, or similar
\n- CI/CD ownership: You've not just used CI — you've owned it. Runner infrastructure, flaky test triage, build caching, GPU-enabled pipelines
\n- Comfort with AI coding agents: You've used tools like Claude Code, Cursor, Copilot Workspace, or similar to do real engineering work — not just autocomplete, but directing agents through multi-step debugging, refactoring, and infrastructure tasks. You understand their failure modes and know when to trust vs. verify
\n- Strong debugging instincts: You can go from a vague production symptom to root cause across hardware, OS, network, and application layers
\n- Bias toward shipping over perfecting: You fix, monitor, iterate. Your commit history has more
fix: than feat: and you're proud of that \n
\nNice to Have
\n\n- NixOS or reproducible build system experience
\n- Experience building or operating autonomous engineering agents/bots
\n- Robotics simulation (kinematics, camera models, physics)
\n- gRPC / Protocol Buffers
\n- Managed network infrastructure, VPNs, overlay networks
\n- Time-series databases and observability stacks
\n
\nAbout the Work Style
\nThis is a high-autonomy, high-output role. On a typical day you might direct an AI agent to triage overnight CI failures while you debug a production robot issue, then spend the afternoon migrating a package to a new build system. You'll write a lot of code, but you'll also write a lot of prompts — and the best candidates will see those as the same skill.
","id":"fdb1c47e-4685-4ac7-b57f-f1ba1077c3ec","lists":[{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robotics Infrastructure Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
\nRobotics Infrastructure Engineer: Systems, Infrastructure & Reliability
\n The Company
\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\nOur Culture
\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\nAbout the Role
\nWe build robots that run 24/7 in production environments. We're looking for a hands-on engineer to own the reliability, infrastructure, and developer tooling that keeps our fleet running and our engineering team fast. You'll split your time between robot-side systems work, cloud infrastructure, and building automation that multiplies the team's output.
\nA significant portion of this role involves working with AI coding agents. You'll direct autonomous agents to diagnose CI failures, triage production issues, run automated security and compliance checks, and execute multi-step engineering tasks. Knowing how to scope work for an agent, review its output critically, and build tooling that agents can use effectively is as important as writing the code yourself.
\nWhat You'll Do
\n\n- Own robot-side software (Python): Maintain the on-robot codebase that orchestrates arms, cameras, sensors, and I/O. Debug production hardware/software failures and ship fixes fast
\n- Build and maintain infrastructure as code: Manage cloud infrastructure — identity and access management, CI/CD credentials, secrets, container registries, cluster autoscaling — using declarative configuration and reproducible builds
\n- Drive build system and packaging migrations: Own the transition of robot software packaging to reproducible, hermetic build systems. Maintain machine images, dev environments, and deployment pipelines
\n- Build simulation and testing infrastructure: Develop end-to-end simulation systems that validate robot behavior without physical hardware — camera projection, kinematics, placement validation, fleet-wide calibration
\n- Develop and operate AI-powered engineering automation: Build autonomous agents that run nightly CI triage, security audits, infrastructure compliance checks, and code quality sweeps. Design the interfaces and instructions that make agents effective at real engineering work
\n- Improve observability and health monitoring: Instrument robot software with metrics and structured telemetry. Build alerting that catches problems before humans notice them
\n- Work across the stack: Touch frontend, backend, protobuf definitions, deployment tooling, and cloud services as needed. No part of the system is someone else's problem
\n
\nWhat We're Looking For
\n\n- 3+ years of Python in a systems context — not web/ML Python, but the kind where you deal with processes, hardware I/O, async, and real-time constraints
\n- Strong Linux systems knowledge: Memory management, device management, systemd, containers, networking, kernel tuning
\n- Infrastructure as code experience: Declarative infrastructure and configuration management tools. You've managed IAM, CI runners, secrets, and machine images programmatically
\n- Experience with real hardware: Robot arms, depth cameras, grippers, force/torque sensors, pneumatics, or similar
\n- CI/CD ownership: You've not just used CI — you've owned it. Runner infrastructure, flaky test triage, build caching, GPU-enabled pipelines
\n- Comfort with AI coding agents: You've used tools like Claude Code, Cursor, Copilot Workspace, or similar to do real engineering work — not just autocomplete, but directing agents through multi-step debugging, refactoring, and infrastructure tasks. You understand their failure modes and know when to trust vs. verify
\n- Strong debugging instincts: You can go from a vague production symptom to root cause across hardware, OS, network, and application layers
\n- Bias toward shipping over perfecting: You fix, monitor, iterate. Your commit history has more
fix: than feat: and you're proud of that \n
\nNice to Have
\n\n- NixOS or reproducible build system experience
\n- Experience building or operating autonomous engineering agents/bots
\n- Robotics simulation (kinematics, camera models, physics)
\n- gRPC / Protocol Buffers
\n- Managed network infrastructure, VPNs, overlay networks
\n- Time-series databases and observability stacks
\n
\nAbout the Work Style
\nThis is a high-autonomy, high-output role. On a typical day you might direct an AI agent to triage overnight CI failures while you debug a production robot issue, then spend the afternoon migrating a package to a new build system. You'll write a lot of code, but you'll also write a lot of prompts — and the best candidates will see those as the same skill.
","descriptionBodyPlain":"\nRobotics Infrastructure Engineer: Systems, Infrastructure & Reliability\n The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect. \nAbout the Role\nWe build robots that run 24/7 in production environments. We're looking for a hands-on engineer to own the reliability, infrastructure, and developer tooling that keeps our fleet running and our engineering team fast. You'll split your time between robot-side systems work, cloud infrastructure, and building automation that multiplies the team's output.\nA significant portion of this role involves working with AI coding agents. You'll direct autonomous agents to diagnose CI failures, triage production issues, run automated security and compliance checks, and execute multi-step engineering tasks. Knowing how to scope work for an agent, review its output critically, and build tooling that agents can use effectively is as important as writing the code yourself.\nWhat You'll Do\nOwn robot-side software (Python): Maintain the on-robot codebase that orchestrates arms, cameras, sensors, and I/O. Debug production hardware/software failures and ship fixes fast\nBuild and maintain infrastructure as code: Manage cloud infrastructure — identity and access management, CI/CD credentials, secrets, container registries, cluster autoscaling — using declarative configuration and reproducible builds\nDrive build system and packaging migrations: Own the transition of robot software packaging to reproducible, hermetic build systems. Maintain machine images, dev environments, and deployment pipelines\nBuild simulation and testing infrastructure: Develop end-to-end simulation systems that validate robot behavior without physical hardware — camera projection, kinematics, placement validation, fleet-wide calibration\nDevelop and operate AI-powered engineering automation: Build autonomous agents that run nightly CI triage, security audits, infrastructure compliance checks, and code quality sweeps. Design the interfaces and instructions that make agents effective at real engineering work\nImprove observability and health monitoring: Instrument robot software with metrics and structured telemetry. Build alerting that catches problems before humans notice them\nWork across the stack: Touch frontend, backend, protobuf definitions, deployment tooling, and cloud services as needed. No part of the system is someone else's problem\nWhat We're Looking For\n3+ years of Python in a systems context — not web/ML Python, but the kind where you deal with processes, hardware I/O, async, and real-time constraints\nStrong Linux systems knowledge: Memory management, device management, systemd, containers, networking, kernel tuning\nInfrastructure as code experience: Declarative infrastructure and configuration management tools. You've managed IAM, CI runners, secrets, and machine images programmatically\nExperience with real hardware: Robot arms, depth cameras, grippers, force/torque sensors, pneumatics, or similar\nCI/CD ownership: You've not just used CI — you've owned it. Runner infrastructure, flaky test triage, build caching, GPU-enabled pipelines\nComfort with AI coding agents: You've used tools like Claude Code, Cursor, Copilot Workspace, or similar to do real engineering work — not just autocomplete, but directing agents through multi-step debugging, refactoring, and infrastructure tasks. You understand their failure modes and know when to trust vs. verify\nStrong debugging instincts: You can go from a vague production symptom to root cause across hardware, OS, network, and application layers\nBias toward shipping over perfecting: You fix, monitor, iterate. Your commit history has more fix: than feat: and you're proud of that\nNice to Have\nNixOS or reproducible build system experience\nExperience building or operating autonomous engineering agents/bots\nRobotics simulation (kinematics, camera models, physics)\ngRPC / Protocol Buffers\nManaged network infrastructure, VPNs, overlay networks\nTime-series databases and observability stacks\nAbout the Work Style\nThis is a high-autonomy, high-output role. On a typical day you might direct an AI agent to triage overnight CI failures while you debug a production robot issue, then spend the afternoon migrating a package to a new build system. You'll write a lot of code, but you'll also write a lot of prompts — and the best candidates will see those as the same skill.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/fdb1c47e-4685-4ac7-b57f-f1ba1077c3ec","applyUrl":"https://jobs.lever.co/tutorintelligence/fdb1c47e-4685-4ac7-b57f-f1ba1077c3ec/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Maintenance & Manufacturing","allLocations":["Watertown, MA"]},"createdAt":1780439024012,"descriptionPlain":"We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\n","description":"We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
","id":"f84a0657-21f7-4db6-8c4d-c191e95241a1","lists":[{"text":"Our Culture","content":"We believe that something truly special can happen when talented, motivated people work together. At Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
"},{"text":"About the Role","content":"
\n\n
At Tutor, our robots are operating in customer facilities across North America every day. When a robot goes down, customers feel it immediately.
\n
Our Maintenance and Field Service team is responsible for keeping those systems running, supporting customers, and providing the feedback that helps make our products better.
\n
This role sits at the intersection of Robotics, Operations, Manufacturing, and Engineering. You will troubleshoot complex robotic systems, perform repairs and upgrades, support deployments, and work directly with customers to maximize uptime and performance.
\n
Your work in the field will directly influence future product design, reliability improvements, and how we scale our fleet from dozens of robots today to hundreds and eventually thousands.
\n
If you are the person everyone calls when something breaks, we want to talk to you.
\n
\n
• Deploy new robotic systems at customer sites, including installation, commissioning, validation, and customer handoff
\n• Perform preventative maintenance on autonomous robotic systems
\n• Troubleshoot mechanical, electrical, pneumatic, controls, and networking-related issues
\n• Execute repairs, upgrades, retrofits, and field modifications
\n• Support customer ramp-up and operational readiness following deployment
\n• Work directly with customers to maximize uptime, reliability, and operational performance
\n• Document failures, collect field data, and support root cause investigations
\n• Partner closely with Engineering to improve product reliability and serviceability
\n• Help develop maintenance procedures, service standards, troubleshooting guides, and best practices
\n• Support product validation, pilot deployments, and new product introductions
\n• Travel throughout the United States to support deployments, preventative maintenance, troubleshooting, upgrades, and emergency service events
"},{"text":"Qualifications","content":"• Experience troubleshooting, repairing, building, maintaining, or deploying electromechanical systems
\n• Strong mechanical aptitude and hands-on problem-solving skills
\n• Ability to diagnose electrical, mechanical, pneumatic, and controls-related issues
\n• Experience working with motors, sensors, actuators, drives, pneumatics, conveyors, robotics, industrial automation, CNC equipment, AGVs, AMRs, or similar systems
\n• Ability to read electrical schematics, mechanical drawings, and technical documentation
\n• Experience using hand tools, power tools, multimeters, and diagnostic equipment
\n• Strong communication skills and customer-facing professionalism
\n• Ability to work independently and take ownership of problems
\n• Willingness to learn new technologies and operate in a fast-paced environment
\n• Valid driver's license and ability to travel extensively
\n
"},{"text":"Bonus Points","content":"\n
• Robotics or automation experience
\n
• Field service experience
\n
• PLC troubleshooting experience
\n
• Networking or Linux experience
\n
• ROS experience
\n
• Startup or high-growth company experience
\n
• Military technical background
\n
• Fabrication, machining, welding, or 3D printing experience
\n
• Associate's or Bachelor's degree in Engineering, Robotics, Mechatronics, Electronics, Industrial Technology, or a related field
\n
\n
This role requires approximately 75% travel throughout the United States.
\n
Most trips are short-duration service visits focused on deployments, preventative maintenance, troubleshooting, upgrades, and customer support. Technicians are generally home most weekends.
\n
\n
The people who succeed at Tutor are curious, humble, hands-on, and resourceful.
\n
They enjoy solving difficult problems.
\n
They take ownership.
\n
They are comfortable working in fast-moving environments.
\n
They care about customers.
\n
They are builders.
\n
Whether you learned your skills through robotics, manufacturing, military service, maintenance, aviation, automotive, electronics, construction, farming, racing, or simply by taking things apart and figuring out how they work, we want to hear from you.
\n
\n
• Work on cutting-edge robotics technology deployed in the real world
\n
• Deploy robots that have a direct impact on customer operations
\n
• Solve challenging technical problems that matter to customers
\n
• Partner directly with Engineering, Manufacturing, and Operations leadership
\n
• Help shape the future of products used by major customers across North America
\n
• Gain experience across robotics, automation, software, mechanical systems, controls, and field operations
\n
• Grow into senior technical, engineering, operations, or leadership roles as the company scales
\n
Join us and help build the future of automation.
\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
","descriptionBodyPlain":"We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/f84a0657-21f7-4db6-8c4d-c191e95241a1","applyUrl":"https://jobs.lever.co/tutorintelligence/f84a0657-21f7-4db6-8c4d-c191e95241a1/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Hardware","allLocations":["Watertown, MA"]},"createdAt":1765460870332,"descriptionPlain":" \n \n \n","description":"
\n
\n
","id":"00c9824e-ed40-4702-b150-b8f5b1b22a22","lists":[{"text":"About Tutor","content":"\n
\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
\n
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\n
\n- Pretty good with CAD (We use onshape)
\n- Built a lot of stuff
\n- Likes to design hardware
\n- Creative
\n- Can push projects forward
\n- Can learn / figure out pretty much anything
\n\n
\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robotics Mechanical Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"
\n
\n
","descriptionBodyPlain":" \n \n \n","hostedUrl":"https://jobs.lever.co/tutorintelligence/00c9824e-ed40-4702-b150-b8f5b1b22a22","applyUrl":"https://jobs.lever.co/tutorintelligence/00c9824e-ed40-4702-b150-b8f5b1b22a22/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Research","allLocations":["Watertown, MA"]},"createdAt":1756589685431,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research scientist, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.\n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research scientist, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
","id":"89213901-e04c-43af-8937-392a9f63dabd","lists":[{"text":"Requirements","content":"\nExceptionally strong programming skills and comfort in one or more programming languages\nNatural collaborator, excited to work closely around a whiteboard in a team setting\nExcited by the future full of robots and a reshaped physical economy\nNot afraid to step foot in a factory or a warehouse\n"},{"text":"Nice to haves (zero or more)","content":"\nAdvanced proficiency with Python and/or Typescript + React\nExperience with robot arms / manipulation\nExperience with motion planning and robot optimization\nExperience with perception or computer vision (deep or classical)\nExperience with infra and devtools (systemd, Docker, Kubernetes)\nExperience with hardware / software integration\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robotics Research Scientist","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research scientist, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research scientist, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/89213901-e04c-43af-8937-392a9f63dabd","applyUrl":"https://jobs.lever.co/tutorintelligence/89213901-e04c-43af-8937-392a9f63dabd/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Research","allLocations":["Watertown, MA"]},"createdAt":1762636998857,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nTutor Intelligence is using AI to learn from a large fleet of robots to do useful work in factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.\n \nWe're looking for interns who can join us for 4-6 months to do substantial, impactful work, including work that culminates in a first author robotics paper.\n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nTutor Intelligence is using AI to learn from a large fleet of robots to do useful work in factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
\n
\nWe're looking for interns who can join us for 4-6 months to do substantial, impactful work, including work that culminates in a first author robotics paper.
","id":"cc14adfa-0425-42b2-a804-ed1aead5a7c4","lists":[{"text":"Requirements","content":"\nExceptionally strong programming skills\nYou should have significant research experience, including first author publications at top-tier peer-reviewed conferences (e.g., ICRA)\nNatural collaborator, excited to work closely with a team of researchers and engineers\nResearch experience, practiced at solving open-ended problems\nExcited to reshape the physical economy by filling factories with intelligent robots\nNot afraid to step foot in a factory or a warehouse\n"},{"text":"Nice to haves (zero or more)","content":"\nExperience training and improving AI models, especially models used in robotics (e.g., diffusion policy)\nAdvanced proficiency with Python\nExperience with robot arms / manipulation\nExperience with motion planning and robot optimization\nExperience with perception or computer vision (deep or classical)\nExperience with infra and devtools (systemd, Docker, Kubernetes)\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nTutor Intelligence is using AI to learn from a large fleet of robots to do useful work in factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
\n
\nWe're looking for interns who can join us for 4-6 months to do substantial, impactful work, including work that culminates in a first author robotics paper.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. **\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nTutor Intelligence is using AI to learn from a large fleet of robots to do useful work in factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.\n \nWe're looking for interns who can join us for 4-6 months to do substantial, impactful work, including work that culminates in a first author robotics paper.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/cc14adfa-0425-42b2-a804-ed1aead5a7c4","applyUrl":"https://jobs.lever.co/tutorintelligence/cc14adfa-0425-42b2-a804-ed1aead5a7c4/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1738509985785,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a robotics software engineer, your work lies at the center of this challenge, orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers shape their own roles to best tackle the frontier of robotics development.\n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a robotics software engineer, your work lies at the center of this challenge, orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers shape their own roles to best tackle the frontier of robotics development.
","id":"1cc8dee5-ec0a-4a17-b360-ea79fea57c46","lists":[{"text":"Requirements","content":"\nExceptionally strong programming skills and comfort in any programming language\nNatural collaborator, excited to work closely around a whiteboard in a team setting\nExcited by the future full of robots and a reshaped physical economy\nNot afraid to step foot in a factory or a warehouse\n"},{"text":"Nice to haves (zero or more)","content":"\nAdvanced proficiency with Python and/or Typescript + React\nExperience with robot arms / manipulation\nExperience with motion planning and robot optimization\nExperience with perception or computer vision (deep or classical)\nExperience with infra and devtools (systemd, Docker, Kubernetes)\nExperience with hardware / software integration\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Robotics Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a robotics software engineer, your work lies at the center of this challenge, orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles.
\n
\nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers shape their own roles to best tackle the frontier of robotics development.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a robotics software engineer, your work lies at the center of this challenge, orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles.\n \nAt the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers shape their own roles to best tackle the frontier of robotics development.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/1cc8dee5-ec0a-4a17-b360-ea79fea57c46","applyUrl":"https://jobs.lever.co/tutorintelligence/1cc8dee5-ec0a-4a17-b360-ea79fea57c46/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Go To Market","allLocations":["Watertown, MA"]},"createdAt":1749662875004,"descriptionPlain":"The Company:\nWe understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.\n\nFounded by MIT alumni and backed by the best investors in AI and robotics, Tutor is building the world's largest fleet of generally capable robot workers for American factories and warehouses.\n\nThe Role\nWe’re looking for a driven Sales Development Representative (SDR) with 1–2 years of outbound experience in a technical sales environment. You’ll be responsible for generating qualified pipeline through targeted outreach and collaboration with our sales and marketing teams.\nThis is an in-office role based in the Boston area, ideal for someone who thrives in a high-energy startup culture\n","description":"The Company:
We understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.
Founded by MIT alumni and backed by the best investors in AI and robotics, Tutor is building the world's largest fleet of generally capable robot workers for American factories and warehouses.
The Role
We’re looking for a driven Sales Development Representative (SDR) with 1–2 years of outbound experience in a technical sales environment. You’ll be responsible for generating qualified pipeline through targeted outreach and collaboration with our sales and marketing teams.
This is an in-office role based in the Boston area, ideal for someone who thrives in a high-energy startup culture
","id":"c03d8c28-c173-4fd8-a633-b77eaf45f467","lists":[{"text":"What You’ll Do","content":"Identify, research, and prospect into target manufacturing accounts using a multi-channel outbound strategy (email, phone, LinkedIn)Qualify leads and schedule discovery calls for Account ExecutivesCollaborate closely with sales and marketing to execute targeted campaignsMaintain accurate lead and activity data in our CRM (e.g., HubSpot or Salesforce)Contribute feedback to improve messaging, targeting, and outreach strategies"},{"text":"What You'll Bring ","content":"1–2 years of SDR experience, ideally in a B2B technical sales environment (SaaS, hardware, robotics, AI, or related)Hands-on experience with SDR tools like Apollo, SalesLoft, Outreach, and CRMs like Salesforce or HubSpotClear written and verbal communication skills with a professional, persistent approach to outbound outreachStrong curiosity and willingness to understand complex technical productsAbility to thrive in a fast-paced, high-growth startup environmentBonus: Familiarity with the manufacturing, robotics, or hardware/software industry"},{"text":"Why Join Us","content":"Work with a world-class team at the forefront of industrial automationHigh-growth opportunity with direct impact on pipeline and revenueCollaborative, fast-paced office culture with strong mentorshipCompetitive base salary + commission (OTE) and full benefits"}],"salaryRange":{"min":70000,"max":120000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"All offers include generous equity, fully covered health + dental, and unlimited PTO.
","salaryDescriptionPlain":"All offers include generous equity, fully covered health + dental, and unlimited PTO.\n","text":"Sales Development Representative (SDR)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company:
We understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.
Founded by MIT alumni and backed by the best investors in AI and robotics, Tutor is building the world's largest fleet of generally capable robot workers for American factories and warehouses.
The Role
We’re looking for a driven Sales Development Representative (SDR) with 1–2 years of outbound experience in a technical sales environment. You’ll be responsible for generating qualified pipeline through targeted outreach and collaboration with our sales and marketing teams.
This is an in-office role based in the Boston area, ideal for someone who thrives in a high-energy startup culture
","descriptionBodyPlain":"The Company:\nWe understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.\n\nFounded by MIT alumni and backed by the best investors in AI and robotics, Tutor is building the world's largest fleet of generally capable robot workers for American factories and warehouses.\n\nThe Role\nWe’re looking for a driven Sales Development Representative (SDR) with 1–2 years of outbound experience in a technical sales environment. You’ll be responsible for generating qualified pipeline through targeted outreach and collaboration with our sales and marketing teams.\nThis is an in-office role based in the Boston area, ideal for someone who thrives in a high-energy startup culture\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/c03d8c28-c173-4fd8-a633-b77eaf45f467","applyUrl":"https://jobs.lever.co/tutorintelligence/c03d8c28-c173-4fd8-a633-b77eaf45f467/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1747328610555,"descriptionPlain":"The Company:\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nJob Summary:\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.\n \n \nResponsibilities:\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops\n-Involvement in new project planning\n \nPrerequisites:\n-Strong programming skills in Python\n-Software engineering tooling: git, unix shell, etc\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity\n-Passion for building things (and just getting stuff done)\n \nNice to Haves\n-Experience building web applications with React\n-Background or interest in ML or robotics\n-Experience leading teams and projects\n","description":"The Company:
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nJob Summary:
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.
\n
\n
\nResponsibilities:
\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
\n-Involvement in new project planning
\n
\nPrerequisites:
\n-Strong programming skills in Python
\n-Software engineering tooling: git, unix shell, etc
\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity
\n-Passion for building things (and just getting stuff done)
\n
\nNice to Haves
\n-Experience building web applications with React
\n-Background or interest in ML or robotics
\n-Experience leading teams and projects
","id":"6589d15e-6927-4548-9bd6-2af1ec1eb7c8","lists":[{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Senior Full Stack Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company:
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nJob Summary:
\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
\n
\nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.
\n
\n
\nResponsibilities:
\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
\n-Involvement in new project planning
\n
\nPrerequisites:
\n-Strong programming skills in Python
\n-Software engineering tooling: git, unix shell, etc
\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity
\n-Passion for building things (and just getting stuff done)
\n
\nNice to Haves
\n-Experience building web applications with React
\n-Background or interest in ML or robotics
\n-Experience leading teams and projects
","descriptionBodyPlain":"The Company:\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nJob Summary:\nAre you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.\n \nTutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.\n \n \nResponsibilities:\n- Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops\n-Involvement in new project planning\n \nPrerequisites:\n-Strong programming skills in Python\n-Software engineering tooling: git, unix shell, etc\n-Collaborative nature and social skill setInterest in robotics, AI, solving hard problems, or improving the future of humanity\n-Passion for building things (and just getting stuff done)\n \nNice to Haves\n-Experience building web applications with React\n-Background or interest in ML or robotics\n-Experience leading teams and projects\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/6589d15e-6927-4548-9bd6-2af1ec1eb7c8","applyUrl":"https://jobs.lever.co/tutorintelligence/6589d15e-6927-4548-9bd6-2af1ec1eb7c8/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1747328794529,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\nThe Role\nNot content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.\n \nWe enable anyone to teach robots complicated vision and manipulation skills. Our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors.\n \nThe robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more.\n \nIf this sounds like you, read on!\n \nAcross the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux.\n \nWhat follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following.\n \n","description":"\n
The Company
\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
The Role
\nNot content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.
\n
\nWe enable anyone to teach robots complicated vision and manipulation skills. Our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors.
\n
\nThe robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more.
\n
\nIf this sounds like you, read on!
\n
\nAcross the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux.
\n
\nWhat follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following.
\n
","id":"167eeb43-975c-4d2d-9d5f-f85f926e6daf","lists":[{"text":"Robot Vision","content":"\nImproving 2D and 3D sensing capabilities\nBuilding visual representations of the world\nGeometric perception\nPerception of seen and unseen objects\nSupervised learningSelf supervised learning\n"},{"text":"Robot Motion","content":"\nControl of robot arms\nPlanning motion in the presence of obstacles\nOptimizing grasps and other basic manipulation primitives\nMotion planning\nTools such as Drake, OMPL, KLAMPT, etc\nMulti roboti planning\nReinforcement learning\n"},{"text":"Robot Software","content":"\nProficiency programming in a Python-Linux environment\nComfort with programming linters (Flake8, Mypy)\nSoftware support of real-time systems\nVisualization of robot data\nAdvanced command of Python (dunder methods, lambdas, exception handling, decorators)\n"},{"text":"Robot Hardware","content":"\nDesign and control of end effectors\nExperience integrating and programming robot arms\nMechanical design of mounts and stands.\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Senior Robotics Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"\n
The Company
\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
The Role
\nNot content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.
\n
\nWe enable anyone to teach robots complicated vision and manipulation skills. Our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors.
\n
\nThe robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more.
\n
\nIf this sounds like you, read on!
\n
\nAcross the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux.
\n
\nWhat follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following.
\n
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\nThe Role\nNot content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence.\n \nWe enable anyone to teach robots complicated vision and manipulation skills. Our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors.\n \nThe robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more.\n \nIf this sounds like you, read on!\n \nAcross the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux.\n \nWhat follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following.\n \n","hostedUrl":"https://jobs.lever.co/tutorintelligence/167eeb43-975c-4d2d-9d5f-f85f926e6daf","applyUrl":"https://jobs.lever.co/tutorintelligence/167eeb43-975c-4d2d-9d5f-f85f926e6daf/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1773162474160,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\n \nSomething has changed. A year ago you wrote code by hand — and you were good at it. Then you started using Claude Code, Cursor, or similar tools and realized the game had fundamentally shifted. Now LLMs write the vast majority of your code, and you're producing more, better software than ever before. You didn't just try these tools — you went all in.\n \nWe're looking for a senior software engineer who has lived through this transition and come out the other side more productive, not less rigorous. Someone who understands that AI-augmented development isn't about generating slop — it's about a skilled engineer leveraging a force multiplier to ship things that used to take a team of five.\n \nAt Tutor, you'll build the distributed infrastructure, cloud services, user interfaces, and developer tooling that power intelligent robots in real factories. Your code ships to real robots that pick real things in real warehouses — not another SaaS dashboard. You'll work across the stack — backend services, frontends, CI/CD, ML pipelines, data systems — wherever the highest-leverage work is on any given day. Robotics experience is not required. Strong engineering judgment is. But if you've ever wanted to watch a robot do something because of code you wrote that morning, this is the job.\n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\n
\nSomething has changed. A year ago you wrote code by hand — and you were good at it. Then you started using Claude Code, Cursor, or similar tools and realized the game had fundamentally shifted. Now LLMs write the vast majority of your code, and you're producing more, better software than ever before. You didn't just try these tools — you went all in.
\n
\nWe're looking for a senior software engineer who has lived through this transition and come out the other side more productive, not less rigorous. Someone who understands that AI-augmented development isn't about generating slop — it's about a skilled engineer leveraging a force multiplier to ship things that used to take a team of five.
\n
\nAt Tutor, you'll build the distributed infrastructure, cloud services, user interfaces, and developer tooling that power intelligent robots in real factories. Your code ships to real robots that pick real things in real warehouses — not another SaaS dashboard. You'll work across the stack — backend services, frontends, CI/CD, ML pipelines, data systems — wherever the highest-leverage work is on any given day. Robotics experience is not required. Strong engineering judgment is. But if you've ever wanted to watch a robot do something because of code you wrote that morning, this is the job.
","id":"8a067f22-3ffa-4d90-a3fb-131d942b6414","lists":[{"text":"What You'll Do","content":"\nArchitect and build core software systems across backend services, cloud infrastructure, internal tools, and user-facing applications\nShip fast by combining your own engineering expertise with LLM-based development workflows — and help the rest of the team do the same\nOwn problems end-to-end: scope them, build them, deploy them, and keep them running in production\nWork directly with robotics engineers, ML engineers, and operations to understand what's needed and deliver it\nSee your work come to life on physical robots — debug a deployment in the morning, watch it run on the factory floor in the afternoon\nIdentify and eliminate bottlenecks in how the team builds, tests, and deploys software\n"},{"text":"You","content":"\nYou were a strong software engineer before LLMs entered the picture. You have deep fundamentals — you understand systems design, debugging, performance, and how to write code that doesn't fall over in production.\nYou've gone deep on AI-augmented development. Claude Code, Cursor, Copilot, aider — you've used one or more of these tools extensively and have strong opinions about how to use them well. You can articulate what works, what doesn't, and why a human in the loop still matters.\nYou are pragmatic and fast. You'd rather ship something that works today than design the perfect abstraction for next quarter. You have good instincts for when to be careful and when to move.\nYou are multidisciplinary. You don't hide behind a title. If the highest-value thing to do is write a React frontend, set up a Kubernetes cluster, or debug a data pipeline, you do it.\nYou have 5+ years of professional software engineering experience, with meaningful work in Python.\nYou are excited about working on-site with a small, intense team building physical products that operate in the real world. You think robots are cool — and you want to be the reason they get cooler.\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Senior Software Engineer, AI-Augmented Development","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\n
\nSomething has changed. A year ago you wrote code by hand — and you were good at it. Then you started using Claude Code, Cursor, or similar tools and realized the game had fundamentally shifted. Now LLMs write the vast majority of your code, and you're producing more, better software than ever before. You didn't just try these tools — you went all in.
\n
\nWe're looking for a senior software engineer who has lived through this transition and come out the other side more productive, not less rigorous. Someone who understands that AI-augmented development isn't about generating slop — it's about a skilled engineer leveraging a force multiplier to ship things that used to take a team of five.
\n
\nAt Tutor, you'll build the distributed infrastructure, cloud services, user interfaces, and developer tooling that power intelligent robots in real factories. Your code ships to real robots that pick real things in real warehouses — not another SaaS dashboard. You'll work across the stack — backend services, frontends, CI/CD, ML pipelines, data systems — wherever the highest-leverage work is on any given day. Robotics experience is not required. Strong engineering judgment is. But if you've ever wanted to watch a robot do something because of code you wrote that morning, this is the job.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\n \nSomething has changed. A year ago you wrote code by hand — and you were good at it. Then you started using Claude Code, Cursor, or similar tools and realized the game had fundamentally shifted. Now LLMs write the vast majority of your code, and you're producing more, better software than ever before. You didn't just try these tools — you went all in.\n \nWe're looking for a senior software engineer who has lived through this transition and come out the other side more productive, not less rigorous. Someone who understands that AI-augmented development isn't about generating slop — it's about a skilled engineer leveraging a force multiplier to ship things that used to take a team of five.\n \nAt Tutor, you'll build the distributed infrastructure, cloud services, user interfaces, and developer tooling that power intelligent robots in real factories. Your code ships to real robots that pick real things in real warehouses — not another SaaS dashboard. You'll work across the stack — backend services, frontends, CI/CD, ML pipelines, data systems — wherever the highest-leverage work is on any given day. Robotics experience is not required. Strong engineering judgment is. But if you've ever wanted to watch a robot do something because of code you wrote that morning, this is the job.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/8a067f22-3ffa-4d90-a3fb-131d942b6414","applyUrl":"https://jobs.lever.co/tutorintelligence/8a067f22-3ffa-4d90-a3fb-131d942b6414/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1767635933140,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale. Lever\n \nAs a Staff Robotics Software Engineer, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering. \n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale.
Lever
\nAs a Staff Robotics Software Engineer, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering.
","id":"80edb4bf-c3dc-4167-be83-340024a0c47f","lists":[{"text":"Requirements","content":"\nExceptional programming skills with deep experience across multiple languages and systems.\nTrack record of designing and owning large, complex software systems.\nExperience leading technical projects and mentoring engineers.\nComfortable working across the stack from low-level robot control to cloud services.\nNatural collaborator, strong communicator, and excited to solve hard problems that bridge software and robotics.\n"},{"text":"Nice to haves (zero or more)","content":"\nProven experience with Python and prior experience programming robots (e.g. with ROS or other robotics frameworks)\nExperience with manipulation, motion planning, optimization, or perception.\nExperience with infra/dev tools (Docker, Kubernetes) and CI/CD.\nBackground in hardware/software integration and real-time systems.\nExperience scaling robotics systems in production environments.\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Staff Robotics Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nAre you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale.
Lever
\nAs a Staff Robotics Software Engineer, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nAre you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale. Lever\n \nAs a Staff Robotics Software Engineer, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering. \n","hostedUrl":"https://jobs.lever.co/tutorintelligence/80edb4bf-c3dc-4167-be83-340024a0c47f","applyUrl":"https://jobs.lever.co/tutorintelligence/80edb4bf-c3dc-4167-be83-340024a0c47f/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"R&D - Software","allLocations":["Watertown, MA"]},"createdAt":1767636181758,"descriptionPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nWe are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more about owning architecture, setting technical direction, and building scalable, reliable platforms that support machine learning, robotics, and operations at scale.\n \nYou will work across backend services, data and ML infrastructure, internal tools, and customer-facing systems, while collaborating closely with robotics, hardware, and operations teams. Robotics is part of the domain, but this role is primarily about building high-leverage software systems that make the entire company faster and more effective.\n","description":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nWe are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more about owning architecture, setting technical direction, and building scalable, reliable platforms that support machine learning, robotics, and operations at scale.
\n
\nYou will work across backend services, data and ML infrastructure, internal tools, and customer-facing systems, while collaborating closely with robotics, hardware, and operations teams. Robotics is part of the domain, but this role is primarily about building high-leverage software systems that make the entire company faster and more effective.
","id":"905cb2ee-9e54-4cb1-91c5-c622e829327a","lists":[{"text":"Requirements","content":"\nStrong programming ability and experience building large, production software systems.\nProven track record of owning and evolving complex systems over time.\nExperience working across backend, infrastructure, and application layers.\nComfort operating in ambiguous problem spaces and making pragmatic architectural tradeoffs.\nClear communicator who can lead technical discussions and align teams.\n"},{"text":"Nice to haves (zero or more)","content":"\nExperience with Python, TypeScript, Go, or similar languages.\nExperience with ML platforms, data pipelines, or ML-adjacent infrastructure.\nExperience with cloud infrastructure, containers, CI/CD, and developer tooling.\nFamiliarity with robotics or hardware-integrated systems (not required).\nStartup experience or experience building systems from zero to production.\n"},{"text":"About Our Roles & Titles","content":"\n
At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.
\n
That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.
\n
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
\n","salaryDescriptionPlain":"Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Staff Software Engineer","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\n\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\n
As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
Our Culture
\n
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
\n
\nThe Role
\nWe are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more about owning architecture, setting technical direction, and building scalable, reliable platforms that support machine learning, robotics, and operations at scale.
\n
\nYou will work across backend services, data and ML infrastructure, internal tools, and customer-facing systems, while collaborating closely with robotics, hardware, and operations teams. Robotics is part of the domain, but this role is primarily about building high-leverage software systems that make the entire company faster and more effective.
","descriptionBodyPlain":"The Company\nWe believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.\nAs an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.\nOur Culture\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.\n \nThe Role\nWe are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more about owning architecture, setting technical direction, and building scalable, reliable platforms that support machine learning, robotics, and operations at scale.\n \nYou will work across backend services, data and ML infrastructure, internal tools, and customer-facing systems, while collaborating closely with robotics, hardware, and operations teams. Robotics is part of the domain, but this role is primarily about building high-leverage software systems that make the entire company faster and more effective.\n","hostedUrl":"https://jobs.lever.co/tutorintelligence/905cb2ee-9e54-4cb1-91c5-c622e829327a","applyUrl":"https://jobs.lever.co/tutorintelligence/905cb2ee-9e54-4cb1-91c5-c622e829327a/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time","location":"Watertown, MA","team":"Customer Experience","allLocations":["Watertown, MA"]},"createdAt":1773172415926,"descriptionPlain":"The Company\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.\n \nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.\n \nThe Role\nWe're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.\nThis is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.\nThe role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.\nThis role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.\n \n","description":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
"},{"text":"Requirements","content":"\n2–5+ years of experience in a technical customer-facing role: applications engineering, field engineering, robotics deployment, solutions engineering, technical account management, or similar\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology\nComfort working hands-on with both software and physical systems, especially in real-world operational environments\nAptitude for developing deep working knowledge of complex technical systems built by others — you don't need to build it from scratch, you need to understand it deeply enough to diagnose, tune, and improve outcomes\nGenuine relationship orientation — you take pride in being trusted by customers over time, not just in delivering projects\nStrong communication skills; able to be technically credible with customer engineering and ops teams, and clear with non-technical operators and leaders\nWillingness to spend meaningful time on-site at customer facilities\n"},{"text":"Nice to haves (zero or more)","content":"\nDirect experience deploying or supporting robotics in production environments\nBackground in warehouse, manufacturing, or other industrial operations\nExperience working closely with engineering teams to diagnose and resolve technical issues — bringing field context to engineering decisions\nDeep interest in robotics, automation, or the future of physical AI\n"},{"text":"Why This Role Is Unique","content":"\nWork at the intersection of cutting-edge robotics and real-world industrial operations, helping bring advanced AI systems into factories and warehouses\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility\nJoin Tutor during a period of rapid growth and expanding deployments, where this function plays a central role in scaling our fleet\nHelp build and shape what this function looks like at Tutor, working closely with engineering, product, and operations teams\n"}],"salaryRange":{"min":80000,"max":135000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.
","salaryDescriptionPlain":"Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.\n","text":"Technical Customer Success Manager (Robotics)","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"The Company
\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
\n
\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
\n
\nThe Role
\n\n
We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time.
\n
This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it.
\n
The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap.
\n
This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.
\n
\n
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.
\nAs an AI software company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.
\n
\nOur Culture
\nWe believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.
"},{"text":"About the Role","content":"\n
Are you a technical recruiter who gets genuinely excited about the work your candidates do? At Tutor Intelligence, we're building teams of engineers and researchers who are pushing the frontier of what robots can do in the real world — and we need a recruiter who can find them, earn their trust, and bring them in.
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Tutor is deploying robotics AI into factories and warehouses across the country, and the engineers and researchers behind that technology — software engineers, hardware engineers, and AI/ML researchers — are the core of what we're building. As our Technical Recruiter, you'll own the full recruiting lifecycle for these roles: sourcing, screening, coordinating, and closing. You'll partner closely with our engineering and research leadership, and report into the Head of People Strategy.
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We're looking for someone who is deeply curious, technically literate, and skilled at building relationships with candidates who get a lot of inbound and aren't always looking. You know how to have a real conversation about someone's work, understand what makes a role technically interesting, and represent Tutor's mission in a way that resonates with people who care about hard problems. You take seriously the fact that you're often the first person a candidate ever talks to at Tutor — you understand that every interaction is a reflection of who we are, and you bring the same care and intentionality to a first outreach message as you do to closing an offer.
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2+ years of full-cycle technical recruiting experience, with exposure to software engineering, hardware, or research roles\nProven ability to source and engage passive candidates — especially people who aren't actively looking\nTechnically literate enough to have meaningful conversations with engineers and researchers about their work\nStrong relationship-builder; you play a long game and candidates remember you\nOrganized and process-oriented; you keep the ATS clean and hiring managers informed\nFamiliarity with ATS platforms (we currently use Lever)\n\n\n
\nNice to Haves (Zero or More)
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Experience recruiting at an early-stage startup (Series A–C)\nBackground recruiting for robotics, computer vision, ML/AI, or hardware-focused companies\nFamiliarity with recruiting across multiple technical disciplines simultaneously (software, hardware, research)\nNetwork in Boston/Cambridge engineering or research communities\nUnderstanding of how to evaluate technical depth in candidates without a formal engineering background\n\n"},{"text":"What You'll Own","content":"\n\n
Full-cycle recruiting for engineering and research roles — software engineers, hardware engineers, AI/ML researchers, and more as we grow\nBuilding and maintaining deep pipelines for hard-to-fill technical roles, with a heavy emphasis on outbound sourcing\nPartnering with engineering and research leadership to understand role requirements, team dynamics, and what makes a great technical fit at Tutor\nDelivering a candidate experience that reflects Tutor's culture and values at every touchpoint\nKeeping recruiting data and reporting current in Lever\nPartnering with the People Ops Manager to ensure a smooth handoff from offer acceptance to day one, so every new hire feels set up for success before they even walk in the door\n\n"}],"salaryRange":{"min":110000,"max":145000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"15–20% variable compensation
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\nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
","salaryDescriptionPlain":"15–20% variable compensation\n \nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.\n","text":"Technical Recruiter","country":"US","workplaceType":"onsite","opening":"","openingPlain":"","descriptionBody":"","descriptionBodyPlain":"","hostedUrl":"https://jobs.lever.co/tutorintelligence/7692dc62-7175-4cca-8879-50630daa2ec1","applyUrl":"https://jobs.lever.co/tutorintelligence/7692dc62-7175-4cca-8879-50630daa2ec1/apply"}]