[{"additionalPlain":"Magnify.io is an Equal Opportunity Employer and welcomes applicants from all backgrounds.\n","additional":"<div>Magnify.io is an Equal Opportunity Employer and welcomes applicants from all backgrounds.</div>","categories":{"commitment":"Full-time/Remote","department":"GTM","location":"Seattle, WA","team":"Customer Success","allLocations":["Seattle, WA"]},"createdAt":1758317517465,"descriptionPlain":"Magnify.io is an AI-powered post-sales customer-success orchestration platform. We help software companies turn customer success into a true growth engine by unifying data across CRMs, product analytics, and support systems, then surfacing intelligent insights and automation to drive expansion, retention, and customer delight.\n\nAs a Customer RevOps Manager, you’ll be responsible for ensuring new customers are set up for success by owning the end-to-end post-sales onboarding and revenue-operations alignment process. This role emphasizes RevOps expertise, data readiness, with some technical troubleshooting to power Magnify’s machine-learning forecasting. You’ll work closely with Customer Success, Engineering, and our ML team to confirm customers’ internal systems (Salesforce, HubSpot, Gainsight, NetSuite, and others) are accurately configured, data pipelines are clean, and the foundation is in place for intelligent automation and predictive insights.\n\nThis is a hybrid technical, operational, and customer-facing role that requires cross-functional coordination and a deep understanding of customer revenue workflows, SaaS metrics, and system integrations.\n","description":"<div><a rel=\"noopener noreferrer\" class=\"postings-link\" style=\"font-size: 16px;\" href=\"http://Magnify.io\">Magnify.io</a><span style=\"font-size: 16px;\"> is an AI-powered post-sales customer-success orchestration platform. We help software companies turn customer success into a true growth engine by unifying data across CRMs, product analytics, and support systems, then surfacing intelligent insights and automation to drive expansion, retention, and customer delight.</span></div><div><br></div><div><span style=\"font-size: 16px;\">As a Customer RevOps Manager, you’ll be responsible for ensuring new customers are set up for success by owning the end-to-end post-sales onboarding and revenue-operations alignment process. This role emphasizes RevOps expertise, data readiness, with some technical troubleshooting to power Magnify’s machine-learning forecasting. You’ll work closely with Customer Success, Engineering, and our ML team to confirm customers’ internal systems (Salesforce, HubSpot, Gainsight, NetSuite, and others) are accurately configured, data pipelines are clean, and the foundation is in place for intelligent automation and predictive insights.</span></div><div><br></div><div><span style=\"font-size: 16px;\">This is a hybrid technical, operational, and customer-facing role that requires cross-functional coordination and a deep understanding of customer revenue workflows, SaaS metrics, and system integrations.</span></div>","id":"87433067-ba70-4783-b9b2-ed7419fecb96","lists":[{"text":"What You Will Do","content":"<li><b>Lead Customer Onboarding</b>: Drive discovery with customers’ RevOps/data teams from kickoff to full onboarding, ensuring a smooth handoff from Sales to Customer Success.</li><li><b>Align Revenue Operations</b>: Translate RevOps use cases into implementation plans, aligning Magnify to each customer’s revenue reporting logic, forecasting strategy, and segmentation rules.</li><li><b>Configure &amp; Troubleshoot Systems</b>: Triage integration issues; read and interpret SQL queries to validate data and troubleshoot discrepancies.</li><li><b>Consultative Sysadmin: </b>Work with customer RevOps to troubleshoot GTM integrations and provide light CRM/CS admin support (Salesforce, HubSpot, Gainsight), configuring fields, metrics, and dashboards to ensure accurate data flows and reporting.</li><li><b>Refine Processes</b>: Continuously improve onboarding playbooks and implementation templates; share best practices with CS and Product teams.</li><li><b>Customer Advocacy</b>: Maintain a feedback loop with Product and Engineering to champion customer needs and improve implementation tools and workflows.</li><div><br></div>"},{"text":"Who You Are","content":"<li><b>RevOps-Fluent</b>: Strong understanding of SaaS revenue operations—pipeline, ARR/TCV/ATV metrics, forecasting strategies, churn/expansion logic.</li><li><b>Technically Savvy</b>: Comfortable with SQL syntax, API concepts, and troubleshooting integrations; able to interpret queries and spot data issues.</li><li><b>Customer-First Communicator</b>: Professional presence with the ability to build trust and engage both leadership and technical stakeholders.</li><li><b>Cross-Functional Operator</b>: Skilled at aligning Sales, CS, Data Science, and Engineering toward shared outcomes.</li><li><b>Growth-Minded</b>: You learn quickly, embrace challenges, and thrive in a fast-paced startup environment.</li>"},{"text":"","content":"<li>4–6 years in RevOps, Technical Account Management, Customer Success Operations, or similar hybrid roles within SaaS or data-driven platforms. </li><li>Strong RevOps background with direct forecasting and revenue-metrics experience. </li><li>Hands-on experience administering or configuring systems such as Salesforce, HubSpot, NetSuite, or Gainsight. </li><li>Ability to read and troubleshoot SQL queries (basic query writing a plus).</li><li>Strong project-management skills to coordinate multiple stakeholders and meet milestones.</li><li>Experience at an early-stage startup is a plus.</li>"}],"salaryRange":{"min":120000,"max":150000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"<div>This role includes a full benefits package and a generous stock-option grant.</div>","salaryDescriptionPlain":"This role includes a full benefits package and a generous stock-option grant.\n","text":"Customer RevOps Manager","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div><a href=\"http://Magnify.io\" style=\"font-size: 16px;\" class=\"postings-link\" target=\"_blank\" rel=\"noopener noreferrer\">Magnify.io</a><span style=\"font-size: 16px;\"> is an AI-powered post-sales customer-success orchestration platform. We help software companies turn customer success into a true growth engine by unifying data across CRMs, product analytics, and support systems, then surfacing intelligent insights and automation to drive expansion, retention, and customer delight.</span></div><div><br></div><div><span style=\"font-size: 16px;\">As a Customer RevOps Manager, you’ll be responsible for ensuring new customers are set up for success by owning the end-to-end post-sales onboarding and revenue-operations alignment process. This role emphasizes RevOps expertise, data readiness, with some technical troubleshooting to power Magnify’s machine-learning forecasting. You’ll work closely with Customer Success, Engineering, and our ML team to confirm customers’ internal systems (Salesforce, HubSpot, Gainsight, NetSuite, and others) are accurately configured, data pipelines are clean, and the foundation is in place for intelligent automation and predictive insights.</span></div><div><br></div><div><span style=\"font-size: 16px;\">This is a hybrid technical, operational, and customer-facing role that requires cross-functional coordination and a deep understanding of customer revenue workflows, SaaS metrics, and system integrations.</span></div>","descriptionBodyPlain":"Magnify.io is an AI-powered post-sales customer-success orchestration platform. We help software companies turn customer success into a true growth engine by unifying data across CRMs, product analytics, and support systems, then surfacing intelligent insights and automation to drive expansion, retention, and customer delight.\n\nAs a Customer RevOps Manager, you’ll be responsible for ensuring new customers are set up for success by owning the end-to-end post-sales onboarding and revenue-operations alignment process. This role emphasizes RevOps expertise, data readiness, with some technical troubleshooting to power Magnify’s machine-learning forecasting. You’ll work closely with Customer Success, Engineering, and our ML team to confirm customers’ internal systems (Salesforce, HubSpot, Gainsight, NetSuite, and others) are accurately configured, data pipelines are clean, and the foundation is in place for intelligent automation and predictive insights.\n\nThis is a hybrid technical, operational, and customer-facing role that requires cross-functional coordination and a deep understanding of customer revenue workflows, SaaS metrics, and system integrations.\n","hostedUrl":"https://jobs.lever.co/magnify/87433067-ba70-4783-b9b2-ed7419fecb96","applyUrl":"https://jobs.lever.co/magnify/87433067-ba70-4783-b9b2-ed7419fecb96/apply"},{"additional":"","additionalPlain":"","categories":{"commitment":"Full-time/Remote","department":"Engineering","location":"Belfast","team":"Engineering","allLocations":["Belfast"]},"createdAt":1749175131408,"descriptionPlain":"Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. \nThis is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development at our company. Magnify needs problem solvers who like to automate and optimize, enjoy simplifying complexity and know how to experiment. Magnify will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. Initial responsibilities include building out system microservices, implementing customer-facing and internal interfaces, developing cloud services, supporting application integrations and working with the data science team to build models and simulations.\nAs one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside.\n\nSuccessful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.\n","description":"<div><span style=\"font-size: 10.5pt;\">Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. </span></div><div><span style=\"font-size: 10.5pt;\">This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development at our company. Magnify needs problem solvers who like to automate and optimize, enjoy simplifying complexity and know how to experiment.&nbsp;Magnify will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. Initial responsibilities include building out system microservices, implementing customer-facing and internal interfaces, developing cloud services, supporting application integrations and working with the data science team to build models and simulations.</span></div><div><span style=\"font-size: 10.5pt;\">As one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside.</span></div><div><br></div><div>Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.</div>","id":"29a9424b-5d7c-4b92-8440-37e53822ee33","lists":[{"text":"Qualifications and Experience","content":"<li> Bachelors in Computer Science or related field.</li><li> 7+ years of experience working as a software engineer building applications in a high growth, startup environment.</li><li>Strong proficiency in web application development, including data modelling across relational and non-relational data stores, API development, asynchronous workflow orchestration, and development of web-based UIs (e.g. React).</li><li>Advanced proficiency with Typescript/Javascript, Python, or an equivalent language.</li><li>Experience with cloud native environments and Amazon Web Services.</li><li>Demonstrated success leading and delivering complex software projects with limited oversight in a distributed environment.</li><li>Excellent written and verbal communication skills.</li><li>Passionate about delivering for users and collaborating with teammates.</li><li>Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.</li>"}],"salaryRange":{"min":60000,"max":100000,"currency":"GBP","interval":"per-year-salary"},"text":"Senior Software Engineer","country":"GB","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div><span style=\"font-size: 10.5pt;\">Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. </span></div><div><span style=\"font-size: 10.5pt;\">This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development at our company. Magnify needs problem solvers who like to automate and optimize, enjoy simplifying complexity and know how to experiment.&nbsp;Magnify will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. Initial responsibilities include building out system microservices, implementing customer-facing and internal interfaces, developing cloud services, supporting application integrations and working with the data science team to build models and simulations.</span></div><div><span style=\"font-size: 10.5pt;\">As one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside.</span></div><div><br></div><div>Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.</div>","descriptionBodyPlain":"Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. \nThis is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development at our company. Magnify needs problem solvers who like to automate and optimize, enjoy simplifying complexity and know how to experiment. Magnify will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. Initial responsibilities include building out system microservices, implementing customer-facing and internal interfaces, developing cloud services, supporting application integrations and working with the data science team to build models and simulations.\nAs one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside.\n\nSuccessful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.\n","hostedUrl":"https://jobs.lever.co/magnify/29a9424b-5d7c-4b92-8440-37e53822ee33","applyUrl":"https://jobs.lever.co/magnify/29a9424b-5d7c-4b92-8440-37e53822ee33/apply"},{"additionalPlain":"Magnify is a values driven culture, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.\n","additional":"<div><span style=\"font-size: 16px;\">Magnify is a&nbsp;</span><a rel=\"noopener noreferrer\" class=\"postings-link\" style=\"font-size: 16px;\" href=\"https://www.magnify.io/values\">values driven culture</a><span style=\"font-size: 16px;\">, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.</span></div>","categories":{"commitment":"Full-time/Remote","department":"Engineering","location":"Seattle, WA","team":"Engineering","allLocations":["Seattle, WA"]},"createdAt":1764617165662,"descriptionPlain":"Magnify is the next-generation automation platform for the post-sales experience—we grow revenue and reduce churn for software companies without adding headcount. We use machine learning along with a sophisticated orchestration engine to identify and orchestrate the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Our target customers are enterprise software companies, typically the Chief Customer Officers and their organizations or the Growth Marketing teams. \n\nWe are a fast-moving startup backed by top-tier investors, including Madrona Venture Group and Decibel Partners, with a veteran leadership team. This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development. We need problem solvers who like to automate and optimize, enjoy simplifying complexity, and know how to experiment.\n\nOur platform is critical to delivering value for our customers: it enables us to rapidly build high quality experiences and reliable systems. We are looking for a Senior Software Engineer to join our engineering team and lead its architectural design and implementation. We will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. This role provides an opportunity to grow with the company and to have real impact with enormous upside.\n","description":"<div><span style=\"font-size: 12pt;\">Magnify is the next-generation automation platform for the post-sales experience—we grow revenue and reduce churn for software companies without adding headcount. We use machine learning along with a sophisticated orchestration engine to identify and orchestrate the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Our target customers are enterprise software companies, typically the Chief Customer Officers and their organizations or the Growth Marketing teams. </span></div><div><br></div><div><span style=\"font-size: 12pt;\">We are a fast-moving startup backed by top-tier investors, including Madrona Venture Group and Decibel Partners, with a veteran leadership team. This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development. We need problem solvers who like to automate and optimize, enjoy simplifying complexity, and know how to experiment.</span></div><div><br></div><div><span style=\"font-size: 12pt;\">Our platform is critical to delivering value for our customers: it enables us to rapidly build high quality experiences and reliable systems. We are looking for a </span><b style=\"font-size: 12pt;\">Senior Software Engineer</b><span style=\"font-size: 12pt;\"> to join our engineering team and lead its architectural design and implementation. We will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. This role provides an opportunity to grow with the company and to have real impact with enormous upside.</span></div>","id":"dcc63326-bcad-49f9-a579-19d8b8a9ba77","lists":[{"text":"Responsibilities","content":"<li>Designing and implementing backend systems, services, and APIs, including driving our technical strategies, enabling deep bidirectional integrations with a breadth of external services such as Salesforce, Pendo, Gainsight, Marketo, and more.</li><li>Building out system microservices, developing cloud services, and supporting application integrations. </li><li>Defining system architectures, service contracts, and interfaces to reduce complexity and ease consumption of our platform capabilities.</li><li>Establishing and managing AWS-hosted infrastructure and services.</li><li>Working with the data science team to build models and simulations.</li><li>Mentoring other members of the engineering team.</li>"},{"text":"Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below","content":"<li>Bachelor's degree in Computer Science or related field.7+ years of experience working as a software engineer building applications in a high growth, startup environment.</li><li>Demonstrated success leading and delivering complex software projects with limited oversight in a distributed environment.</li><li>Strong proficiency in web application development, including data modelling across relational and non-relational data stores, API development, asynchronous workflow orchestration, and development of web-based UIs (e.g., React).Advanced proficiency with Typescript/Javascript, Python, or an equivalent language.</li><li>Experience with cloud native environments and Amazon Web Services.</li><li>Excellent written and verbal communication skills.</li><li>Passionate about delivering for users and collaborating with teammates.</li><li>Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.</li>"}],"salaryRange":{"min":175000,"max":200000,"currency":"USD","interval":"per-year-salary"},"salaryDescription":"<div>In addition to our base salary, all offers include full benefits and a generous equity grant.</div>","salaryDescriptionPlain":"In addition to our base salary, all offers include full benefits and a generous equity grant.\n","text":"Senior Software Engineer","country":"US","workplaceType":"hybrid","opening":"","openingPlain":"","descriptionBody":"<div><span style=\"font-size: 12pt;\">Magnify is the next-generation automation platform for the post-sales experience—we grow revenue and reduce churn for software companies without adding headcount. We use machine learning along with a sophisticated orchestration engine to identify and orchestrate the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Our target customers are enterprise software companies, typically the Chief Customer Officers and their organizations or the Growth Marketing teams. </span></div><div><br></div><div><span style=\"font-size: 12pt;\">We are a fast-moving startup backed by top-tier investors, including Madrona Venture Group and Decibel Partners, with a veteran leadership team. This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development. We need problem solvers who like to automate and optimize, enjoy simplifying complexity, and know how to experiment.</span></div><div><br></div><div><span style=\"font-size: 12pt;\">Our platform is critical to delivering value for our customers: it enables us to rapidly build high quality experiences and reliable systems. We are looking for a </span><b style=\"font-size: 12pt;\">Senior Software Engineer</b><span style=\"font-size: 12pt;\"> to join our engineering team and lead its architectural design and implementation. We will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. This role provides an opportunity to grow with the company and to have real impact with enormous upside.</span></div>","descriptionBodyPlain":"Magnify is the next-generation automation platform for the post-sales experience—we grow revenue and reduce churn for software companies without adding headcount. We use machine learning along with a sophisticated orchestration engine to identify and orchestrate the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Our target customers are enterprise software companies, typically the Chief Customer Officers and their organizations or the Growth Marketing teams. \n\nWe are a fast-moving startup backed by top-tier investors, including Madrona Venture Group and Decibel Partners, with a veteran leadership team. This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development. We need problem solvers who like to automate and optimize, enjoy simplifying complexity, and know how to experiment.\n\nOur platform is critical to delivering value for our customers: it enables us to rapidly build high quality experiences and reliable systems. We are looking for a Senior Software Engineer to join our engineering team and lead its architectural design and implementation. We will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. This role provides an opportunity to grow with the company and to have real impact with enormous upside.\n","hostedUrl":"https://jobs.lever.co/magnify/dcc63326-bcad-49f9-a579-19d8b8a9ba77","applyUrl":"https://jobs.lever.co/magnify/dcc63326-bcad-49f9-a579-19d8b8a9ba77/apply"}]