Parallel Domain’s mission is to enable our partners to bring autonomy and physical AI to the world faster, safer and with higher quality.
\nWe build sensor simulation and reconstruction software that helps teams developing autonomous vehicles, robotics, drones, eVTOL systems and other physical AI applications test and validate their technology at scale.
\nOur platform turns real-world customer capture data into high-fidelity, physically valid simulation environments, then enables deterministic camera, lidar and radar simulation across the scenarios customers need to evaluate. In autonomy and physical AI, there is no margin for error.
\nParallel Domain is hiring a Director of Sales Engineering to lead the technical side of our enterprise sales process.
\nThis is a hands-on, individual-contributor leadership role for someone who can earn credibility with highly technical buyers, uncover how customers develop and validate autonomous systems, and design evaluations that demonstrate measurable product value.
\nYou will partner closely with our OEM Enterprise Sales Director and Enterprise Sales Director across the full customer journey, from initial technical discovery and architecture review through demonstration, proof of concept, production deployment and expansion.
\nYou will work directly with perception engineers, ML engineers, simulation teams, data leaders, autonomy executives and other technical stakeholders. You will be expected to understand their workflows, identify where Parallel Domain fits within their development and validation infrastructure, and translate technical requirements into a clear path forward.
\nAs an early leader in the commercial organization, you will also build the sales engineering foundation Parallel Domain needs to scale. This includes discovery standards, demonstration environments, evaluation frameworks, reusable technical content, competitive positioning and the operating model between Sales, Product and Engineering.
\n● Own the technical sales cycle for strategic enterprise and automotive OEM opportunities.
\n● Partner with Enterprise Sales Directors to qualify opportunities, shape account strategies and
\nadvance complex deals.
\n● Lead technical discovery with customer teams across perception, machine learning, simulation,
\nautonomy, data infrastructure, validation and engineering.
\n● Understand how customers collect and manage sensor data, train and evaluate models, reconstruct
\nenvironments, run simulation and validate autonomous-system performance.
\n● Translate customer workflows, technical requirements and business objectives into a clear
\nParallel Domain solution.
\n● Deliver technically credible product demonstrations tailored to specific customer use cases and
\narchitectures.
\n● Design and lead proof-of-concept and evaluation engagements with defined use cases, success
\ncriteria, stakeholders, timelines and paths to production.
\n● Ensure technical evaluations remain connected to commercial outcomes and expansion
\nopportunities.
\n● Support customers in understanding how Parallel Domain integrates with existing autonomy
\nstacks, APIs, development environments, data pipelines and CI/CD workflows.
\n● Navigate technical objections, architecture concerns, security questions, integration requirements
\nand competitive alternatives.
\n● Partner with Product and Engineering to scope customer requirements without overcommitting or
\ncreating unsustainable one-off solutions.
\n● Represent the voice of the customer internally by providing structured feedback on product gaps,
\nrecurring use cases, market needs and competitive dynamics.
\n● Build repeatable sales engineering processes, including discovery frameworks, demo assets,
\ntechnical qualification standards, POC templates and evaluation scorecards.
\n● Develop technical materials that support the sales process, including solution briefs, architecture
\ndiagrams, technical proposals, evaluation plans and responses to customer requirements.
\n● Support the transition from technical validation into onboarding, deployment and expansion.
\n● Represent Parallel Domain at customer meetings, automotive and autonomy conferences,
\ntechnical events and industry forums.
\n● Help define the future structure, hiring profile and operating model for the Sales Engineering
\nfunction as the company grows.
\n● 8+ years of professional experience in technical software, infrastructure, machine learning, simulation, autonomy, robotics, developer tools or a related field.
\n● 5+ years of experience in sales engineering, solutions architecture, customer engineering, technical consulting or another customer-facing technical role.
\n● Experience supporting complex enterprise sales cycles involving technical evaluations, proofs of concept, architecture reviews and multiple customer stakeholders.
\n● Demonstrated ability to work directly with engineering-oriented buyers and earn credibility through strong technical discovery and communication.
\n● Experience with one or more of the following: autonomous systems, AV or ADAS development, robotics, simulation, synthetic data, computer vision, machine learning infrastructure, sensor data, developer platforms or data infrastructure.
\n● Working knowledge of machine learning development and validation workflows.
\n● Ability to understand and discuss APIs, cloud infrastructure, data pipelines, model evaluation and
\nsoftware integration patterns.
\n● Strong ability to translate technical capabilities into customer value and measurable business
\noutcomes.
\n● Experience defining evaluation success criteria and moving customers from proof of concept to
\nproduction adoption.
\n● Excellent written and verbal communication skills across engineering, product, executive and
\ncommercial audiences.
\n● Strong judgment around when to configure, integrate, escalate, push back or involve Product and
\nEngineering.
\n● Comfort operating in an early-stage environment with ambiguity, limited process and high
\nownership.
\n● Ability to build repeatable systems while remaining deeply involved in customer execution.
\n● Willingness to travel regularly within the United States.
\n\n
● Prior experience as a software engineer, ML engineer, simulation engineer, solutions architect or technical product leader.
\n● Experience selling into automotive OEMs, Tier 1 suppliers, autonomy companies, robotics businesses, drone companies or other physical AI organizations.
\n● Familiarity with camera, lidar, radar or other sensor modalities.
\n● Understanding of perception development, model evaluation, scenario generation, closed-loop
\ntesting or software-in-the-loop simulation.
\n● Experience with Python, APIs, notebooks, cloud environments or technical prototyping.
\n● Experience with production deployments of developer-facing, infrastructure or data products.
\n● A record of helping close and expand six- or seven-figure enterprise contracts.
\n● Experience building an early sales engineering, solutions or customer engineering function.
\nWithin the first six months, you will:
\n● Establish a consistent technical discovery and qualification process.
\n● Build a repeatable evaluation and POC framework.
\n● Become a trusted technical partner to Parallel Domain’s enterprise sales team.
\n● Independently lead customer demonstrations, architecture discussions and evaluations.
\n● Reduce dependency on Product and Engineering during routine technical sales activity.
\n● Improve the quality, speed and commercial conversion of customer evaluations.
\nOver time, you will help Parallel Domain create a scalable technical GTM function capable of supporting growth across automotive, robotics, drones, trucking, agriculture, defense and other physical AI markets.
\nParallel Domain’s mission is to enable our partners to bring autonomy and physical AI to the world faster, safer and with higher quality.
\nWe build sensor simulation and reconstruction software that helps teams developing autonomous vehicles, robotics, drones, eVTOL systems and other physical AI applications test and validate their technology at scale.
\nOur platform turns real-world customer capture data into high-fidelity, physically valid simulation environments, then enables deterministic camera, lidar and radar simulation across the scenarios customers need to evaluate. In autonomy and physical AI, there is no margin for error.
\nCompensation
\nBase: $170,000–$200,000
\nCompetitive variable (OTE structure)
\nEquity
\nFull benefits
\nWe're looking for an Enterprise Sales Director to own new business across our direct enterprise segment — technical SaaS companies, AV startups, robotics firms, and ML-native organizations. This is a quota-carrying individual contributor role for someone who loves selling to technical buyers: ML engineers, heads of perception, and data operations leaders who care deeply about whether your product actually works.
\nYou know how to earn credibility with smart, skeptical engineering-oriented buyers. You're not expected to out-engineer them — our Technical Engagement Managers are there for that — but you can hold a substantive product conversation and translate technical value into business impact.
\nOwn the full sales cycle for direct enterprise accounts — from prospecting through POC, close, and expansion
\nBuild pipeline and execute deals across AV, robotics, drone, and ML-native companies
\nRun POC engagements as the entry point, with a clear path to standard deals and production-scale expansions
\nPartner with Technical Engagement Managers on product-depth discussions and customer technical evaluations
\nDevelop and maintain accurate pipeline forecasts and account plans
\nRepresent Parallel Domain at industry events, including CVPR, NeurIPS, and robotics/AV conferences
\n6+ years of enterprise sales experience, with a track record selling technical software products to engineering or ML-oriented buyers
\nExperience in one or more of: synthetic data, MLOps, AV/ADAS tooling, robotics software, simulation, or developer infrastructure
\nDemonstrated ability to land and expand 6–7 figure contracts in a startup or high-growth environment
\nComfortable selling to technical champions — you understand the product well enough to earn their respect and move the deal forward
\nEntrepreneurial and self-directed; you can build pipeline from scratch and don't need a large SDR motion to be productive
\nFully remote; travel to customer sites, San Francisco, and industry conferences expected
\nCompensation
\nBase: $170,000–$200,000
\nCompetitive variable (OTE structure)
\nEquity
\nFull benefits
\nWe're looking for an OEM Enterprise Sales Director to own and grow relationships with major automotive OEMs — Ford, GM, Stellantis, and others. This is a quota-carrying individual contributor role for someone who knows how to navigate the complexity of large automotive organizations: how decisions get made, who the real stakeholders are, and how to move from a proof of concept to a multi-million dollar production contract.
\nYou don't need to be an engineer. You need to understand the problem we solve well enough to open the right doors and earn the right conversations — our Technical Engagement Managers handle the deep technical discussions.
\nOwn the full sales cycle for OEM accounts — from initial outreach through POC, expansion, and multi-year contracts
\nNavigate large, complex automotive organizations to identify champions, economic buyers, and decision-making processes
\nRun POC engagements as the entry point with a clear line of sight to standard deals and million-dollar production expansions
\nPartner closely with our Technical Engagement Managers who support you on product-depth conversations
\nBuild and maintain a healthy pipeline and accurately forecast to leadership
\nRepresent Parallel Domain at industry events (CES, CVPR, automotive industry conferences)
\n7+ years of enterprise sales experience, with meaningful time selling into OEM automotive accounts (Tier 1 suppliers, OEM internal technology groups, or similar)
\nDeep understanding of how OEMs make purchasing decisions — org structure, procurement processes, and stakeholder mapping
\nTrack record of landing and expanding 6–7 figure contracts in complex enterprise environments
\nExperience selling technical software or data products; simulation, ADAS tooling, or ML infrastructure a strong plus
\nComfortable holding a product-level conversation without engineering support — you know when to bring in the experts
\nFully remote; travel to Detroit, customer sites, and San Francisco for key meetings and events expected
\n\n
We are hiring a Product Engineer to work directly with our Chief Product Officer in building product prototypes and building/managing product integrations for our suite of simulation and neural reconstruction products. This role will be an exciting blend of hands-on engineering, product management, customer interactions, and strategic product roadmapping.
\nThis is a highly technical role and requires software engineering experience. Our users are AI developers and our product heavily leverages cutting edge simulation technologies. This role requires expertise in AI development, simulation technologies, product management, and programming. By spending significant time with our customers, including automotive, drone, and robotics companies, you will become an expert in how our customers need to use simulation to accelerate their development of autonomous systems and then put this expertise at work to help Parallel Domain build winning products.
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Company Overview
\nParallel Domain is the trusted sensor simulation and reconstruction software for physical AI. We turn customer capture data into real-fidelity replicas with deterministic multi-sensor simulation running on top. The largest autonomy programs in the world use our products to validate perception at the scale that safety demands.
\nThey are a Series B company backed by March Capital, Foundry Group, Costanoa Ventures, Toyota Ventures, and others. Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote and growing fast.
\nHow long has the company been operating? 2017
\nTotal company headcount: 50+
\nOur mission is to enable our customers to bring autonomy and physical AI to the world faster and safer. We believe physical AI and autonomy have the power to create a safer and more productive world, and we are building the simulation infrastructure to make that future real. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation products give the leaders in autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and confidence they need to test and validate their systems at scale. In autonomy and physical AI, there is no margin for error.
\nAs a Product Manager, you will work closely with our Chief Product Officer to manage Parallel Domain’s simulation and neural reconstruction products.
\nThis role combines hands-on product management, customer interaction and strategic product roadmapping with highly technical work across AI development, simulation, programming and autonomy.
\nYou will spend significant time with customers understanding how they use simulation to accelerate autonomous-system development, then translate those needs into scalable product capabilities.
\nWe are looking for someone comfortable operating in ambiguity, solving complex technical problems and turning customer needs into winning products.
"},{"text":"What You'll Do","content":"\n
Company Overview
\nParallel Domain is the trusted sensor simulation and reconstruction software for physical AI. We turn customer capture data into real-fidelity replicas with deterministic multi-sensor simulation running on top. The largest autonomy programs in the world use our products to validate perception at the scale that safety demands.
\nThey are a Series B company backed by March Capital, Foundry Group, Costanoa Ventures, Toyota Ventures, and others. Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote and growing fast.
\nHow long has the company been operating? 2017
\nTotal company headcount: 50+
\nBefore an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments, and the infrastructure underneath that platform is what makes simulation at scale possible.
\nWe're hiring a Senior Site Reliability Engineer to help build and operate that infrastructure. This role sits at the core of how we run large-scale, distributed simulation workloads for autonomous-systems testing and validation. You'll work across multi-region AWS infrastructure, operate Kubernetes at scale, and contribute directly to reliability, security, and deployment systems that the rest of the engineering org depends on.
\nThis is a hands-on role with the broad ownership typical of a startup. You'll partner closely with platform, simulation, and ML teams to keep the system running smoothly and evolving. We're growing the team—two of these roles are open—and the work is substantive: multi-region GPU scheduling, Windows workloads on Kubernetes, large-scale batch simulation, and an enterprise product direction that will require rethinking parts of how we deploy and operate.
\nInfrastructure ownership and cloud operations. Design, build, and maintain multi-region AWS infrastructure using Terraform. Operate and scale EKS clusters across production regions: autoscaling, node lifecycle, workload health. Manage networking across environments: VPC design, DNS, load balancing, and cross-region connectivity. Support infrastructure changes, migrations, and expansions into new regions. Contribute to and improve GitOps-based deployment workflows using GitHub Actions, Helm, and Kustomize.
\nReliability engineering and incident response. Help build and run incident management processes: severity definitions, escalation paths, on-call practices. Lead incident response, debugging, and root-cause analysis. Write postmortems and drive systemic reliability improvements from what they surface. Improve observability across metrics, logging, tracing, and dashboards. Support GPU and batch workloads running on Kubernetes.
\nSecurity and access management. Provide security-conscious feedback on platform architecture decisions. Own cloud IAM governance: roles, policies, and access boundaries across accounts and services. Lead compliance-adjacent work including audit-readiness, partner certification requirements, and supporting responses to customer security questionnaires.
\nExperience. 5+ years in SRE, DevOps, or infrastructure engineering roles, with a track record of operating production systems across multiple regions.
\nTerraform. Modules, state management, and multi-environment patterns.
\nAWS depth. Solid experience across VPC, IAM, EKS, S3, and CloudWatch.
\nKubernetes expertise. Cluster operations, autoscaling, RBAC, and Helm.
\nCI/CD and GitOps. Experience with GitHub Actions, ArgoCD, or similar workflows.
\nNetworking fundamentals. CIDR, DNS, load balancing, VPN, and cross-region connectivity.
\nObservability. Experience with tooling such as Prometheus and Grafana.
\nScripting. Comfort with Python and Bash for tooling and automation.
\nCross-platform familiarity. Working knowledge of both Linux and Windows environments. Operational experience supporting Windows-based workloads is a meaningful advantage.
\nWindows on Kubernetes. Experience with Windows node pools, Windows AMIs, and GPU-adjacent components on K8s.
\nGPU scheduling. Familiarity with GPU scheduling on Kubernetes, including NVIDIA device plugin configuration.
\nDomain workloads. Experience supporting simulation, ML, or rendering workloads in cloud infrastructure.
\nAWS extras. Exposure to AWS Storage Gateway, Active Directory integrations, or AWS Transfer Family.
\nService mesh. Familiarity with service proxy or service mesh patterns.
\nContainer OS. Experience with container-optimized OS images (e.g., Bottlerocket, Packer).
\nBefore an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments, and the infrastructure underneath that platform is what makes simulation at scale possible.
\nWe're hiring a Senior Site Reliability Engineer to help build and operate that infrastructure. This role sits at the core of how we run large-scale, distributed simulation workloads for autonomous-systems testing and validation. You'll work across multi-region AWS infrastructure, operate Kubernetes at scale, and contribute directly to reliability, security, and deployment systems that the rest of the engineering org depends on.
\nThis is a hands-on role with the broad ownership typical of a startup. You'll partner closely with platform, simulation, and ML teams to keep the system running smoothly and evolving. We're growing the team—two of these roles are open—and the work is substantive: multi-region GPU scheduling, Windows workloads on Kubernetes, large-scale batch simulation, and an enterprise product direction that will require rethinking parts of how we deploy and operate.
\nParallel Domain builds synthetic data and simulation platforms for autonomous vehicle and robotics teams. The Product Engineering team owns the customer-facing product and service layer: the self-serve platform for productizing ML reconstruction pipelines, our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect them.
\nWe're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real ownership of the reliability and quality of what you ship. Our stack spans Python backend services, RESTful and gRPC APIs, relational databases, React frontends, and data pipelines. Engineers who thrive here are comfortable across multiple layers of the stack, move well from a requirement to a design, and take operational ownership of what they build.
\nExpand and maintain customer-facing services and APIs. You'll build and improve the services customers interact with directly: interactive services and async processing pipelines, web app integrations, and APIs that connect them.
\nDesign and implement APIs and data models. You'll architect and implement RESTful API endpoints that cleanly separate data from business logic, are well-documented, and are built to the standards customers and field engineers depend on.
\nCollaborate across product, SRE, and field engineering. You collaborate with product managers and technical stakeholders to understand requirements and clarify interface design. You partner with SRE on deployment and operational concerns.
\nOwn features end to end. You'll design, implement and ship solutions, and keep them running. You're not done when the PR merges.
\nDebug production issues and improve service reliability. You'll contribute to observability, alerting, and the ongoing health of the services your team operates. You participate in incident response and drive root-cause improvements.
\nUphold and contribute to engineering standards. You follow and help shape team standards around testing, code quality, API documentation, dependency management, and service structure. You leave the codebase better than you found it.
\nTrack record of delivering complex backend features. You've owned non-trivial backend projects end to end - from design through to production - across APIs, databases, and service integrations.
\nAPI design experience. You're comfortable designing RESTful APIs: resource modeling, separation of data and business logic, authentication, versioning, and documentation. You understand what makes an external-facing API maintainable.
\nPython web frameworks and relational databases. Hands-on experience with Flask, FastAPI, or equivalent frameworks; PostgreSQL or similar; ORM patterns; and writing production-grade backend code.
\nContainerized deployment. Experience deploying, operating, and debugging services on Linux using Docker and Kubernetes.
\nProduction service ownership. You've owned services in production: monitoring, alerting, on-call response, and the follow-through after an incident.
\nRequirement gathering and collaboration. You can work with product and customer-facing stakeholders to clarify requirements, surface interface design questions early, and produce concrete designs before implementation starts.
\nLanguages and Frameworks. Python, FastAPI, Flask, PostgreSQL, React, TypeScript
\nSystems & Infrastructure. AWS (S3, RDS, Lambda, EKS), Docker, Kubernetes, GitHub Actions, Jenkins, gRPC, Proto
\nDomain Experience. RESTful API design and documentation. Production service ownership. Data pipeline operation. Observability tooling (Prometheus, Grafana). Experience in simulation, ML pipelines, or autonomous systems is an advantage.
\nExperience with event-driven systems and message brokers (e.g., Redis, SQS, RabbitMQ)
\nExperience with workflow orchestration tools (e.g., Apache Airflow)
\nFamiliarity with load balancers, HTTP proxies, or service mesh patterns
\nExperience with ORMs such as SQLAlchemy
\nBackground supporting production monitoring databases and alerting infrastructure
\nPrimary ownership of a production React web application, including architecture, state management, and deployment
\nExperience with frontend testing, build tooling, or performance optimization
\nParallel Domain builds synthetic data and simulation platforms for autonomous vehicle and robotics teams. The Product Engineering team owns the customer-facing product and service layer: the self-serve platform for productizing ML reconstruction pipelines, our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect them.
\nWe're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real ownership of the reliability and quality of what you ship. Our stack spans Python backend services, RESTful and gRPC APIs, relational databases, React frontends, and data pipelines. Engineers who thrive here are comfortable across multiple layers of the stack, move well from a requirement to a design, and take operational ownership of what they build.
\nParallel Domain is the trusted sensor simulation and reconstruction software for physical AI. We turn customer capture data into real-fidelity replicas with deterministic multi-sensor simulation running on top. The largest autonomy programs in the world use our products to validate perception at the scale safety demands.
\nWe are a Series B company backed by Foundry Group, Costanoa Ventures, Toyota Ventures, and others. Our team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. We are fully remote and growing fast.
\nWe are hiring a Technical Account Director to own highly strategic relationships with OEM customers with multiple entities in their corporate families. These are multi-year enterprise engagements with stakeholders across engineering, perception, planning, and executive leadership in both the US and Japan. The stakes are high and the accounts are growing.
\nYou will be the single point of contact for this account. You own the relationship, the program, and the commercial expansion. You run the cadence, you build the org map, and you drive alignment across every active workstream. Engineers, FDEs, product, and executives all plug into the account through you.
\nThis is a technical role. You will sit in rooms with perception leads, simulation engineers, and ML infrastructure architects and you need to hold your own. You need to understand the sim-to-real gap, how sensor simulation works, what makes a replica production-grade, and where the hard tradeoffs live in customer integration. You do not need to write code. You do need to anticipate where a technical approach might hit a wall and proactively recommend a better path. You also need to know when to pull in our FDEs and engineers for hands-on product depth.
\nOwn the account end to end: relationship, technical guidance, commercial, escalations, expansion, and renewal.
\nBe the single point of contact for every inbound and outbound communication with the customer. Set and hold internal SLAs on response times.
\nGuide the customer's technical approach to integration, simulation usage, and replica adoption. Spot risks early and proactively recommend the path that gets them to production faster.
\nProgram manage 5 to 8 concurrent workstreams across PD and customer teams, driving alignment on status, progress, blockers, and decisions between both sides.
\nBuild and maintain a deep org map across the customer's corporate family: decision makers, champions, blockers, budget holders, and how the entities connect to each other.
\nRun the customer cadence: weekly tactical syncs with the working team, monthly steering with leadership, quarterly executive business reviews with our exec team.
\nDrive multi-year account planning, expansion into new teams and use cases, and pricing conversations.
\nCoordinate internal PD resources (FDEs, engineering, product, finance, legal) so the customer sees one face and gets one answer.
\nPartner with our executive sponsors on the most senior customer relationships.
\nAn engineering background. BS or MS in computer science, electrical engineering, mechanical engineering, robotics, or a related field. You started your career as an engineer and transitioned into customer-facing technical roles.
\n8+ years of experience, with meaningful time owning complex enterprise technical accounts. Experience with global OEM customers is a strong plus.
\nTechnical fluency in simulation, perception, sensor systems, ADAS tooling, ML infrastructure, or autonomous systems. You can discuss sim-to-real gap, lidar modeling, camera ISP pipelines, or HD map ontology without leaning on a teammate for every question.
\nTrack record of managing multi-million dollar enterprise relationships at the depth this role requires. You have owned expansion, pricing, and strategic planning, not renewals alone.
\nDeep understanding of how large, matrixed organizations make decisions: org structure, procurement cycles, stakeholder dynamics, and the difference between a champion and a decision maker.
\nProgram management instinct. You naturally track multiple concurrent workstreams, hold people to deadlines, and surface blockers before they become crises.
\nStrong commercial judgment: you drive contract structure, pricing, and expansion conversations. Relationship management is table stakes, not the ceiling.
\nCalm under pressure. This account has weight, visibility, and urgency. You absorb that and keep the team moving.
\nFully remote. Must be willing to travel internationally, including Japan.
\n3 to 5 years as an IC engineer at an OEM, Tier 1, or AV company before moving into customer-facing roles.
\nExperience as a Technical Program Manager, Technical Account Director, or Customer Engineering Lead at a simulation, developer tools, or autonomous systems company.
\nExperience managing OEM relationships in automotive or trucking, especially with international stakeholders.
\nFamiliarity with closed-loop simulation, scenario-based testing, or sensor-in-the-loop workflows.
\n