{"schemaVersion":"jobsearcher.job.v1","id":"6fde9b8d88898ab382b91905","url":"https://jobsearcher.com/jobs/6fde9b8d88898ab382b91905","canonicalUrl":"https://jobsearcher.com/jobs/6fde9b8d88898ab382b91905","title":"Technical Program Manager, Robotics Data","description":"About Us\nFoundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots.\nWe are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality.\nThe Role\nThis role is for a Technical Program Manager who thrives on turning model team requirements into production data, equally comfortable architecting QA systems from first principles and calibrating a rig on the floor. You will define what gets captured, how it lands, and whether it is usable, from early task spec through pre-delivery validation. You will stand up the data collection program from scratch and drive rapid build-test-learn cycles to deliver a dataset that is both rigorous and scalable.\nYou will be the day-to-day interface with our model team and the frontier labs we deliver to, and the source of truth for hours collected, hours delivered, and hours usable. You will partner closely with the Operations Manager, Robotics Data, who owns the workforce, floor execution, and daily fleet readiness.\nKey Responsibilities\nManage the rig fleet end-to-end (UMI grippers, GoPros, VR headsets and controllers), including procurement, lifecycle, asset tracking, spares, and vendor relationships\nOwn rig calibration cadence and drift detection, including GoPro intrinsics, fisheye calibration, UMI gripper width drift, and per-operator VR eye-tracking calibration\nDefine success criteria with the model team, translating high-level data needs into rejection rules an assembler can apply consistently\nAuthor SOPs and hand them to the Operations Manager for floor execution\nOwn new task ramp-up, including spec, SOP, pilot batch design, and quality gate sign-off before full production\nCurate gold-standard demos (20–50 reference demos per task), maintained against drift\nRun post-capture QA (sampling + success classifier) and pre-delivery validation against model team spec\nTrack diversity and coverage across task variants, object positions, lighting conditions, and operator styles\nRun daily capture logs and weekly dataset reporting to model and research stakeholders, including hours captured, hours usable, mix vs. target, top rejection reasons, and blockers\nOwn task spec versioning, coordinating SOP updates, retraining triggers, and data v1/v2 marking when the model team changes a spec\nOwn the 48-hour handoff SLA, including staging, upload integrity, episode schema enforcement, and metadata completeness (operator ID, task ID, success label, timestamp written atomically)\nRun RCA when batches get rejected and close the loop with the floor\nDefine and report against program-level OKRs for usable hours delivered, mix accuracy, and SLA attainment\nOwn data governance and compliance, including episode-level metadata for auditability, retention and deletion policies, and adherence to data handling standards required by frontier lab partners\nWhat We're Looking For\n3–5 years as a strong PM or TPM with exposure to hardware, data pipelines, or physical workflows\nProven ability to build data collection or technical operations programs from the ground up and improve on existing ones\nComfortable owning task specs, QA programs, and standardization\nEqually effective at a desk and on the floor, with deep hands-on experience calibrating a rig one hour and writing a stakeholder update the next\nSQL or Python proficient enough to pull your own data and build your own dashboards\nTrack record tracking and improving program metrics (usable hours, mix accuracy, SLA attainment, rejection rates)\nExperience providing technical input in a cross-functional environment with researchers and engineers\nCollaborative by nature, you consider downstream impacts on operators, model teams, and infrastructure when making program decisions\nBias toward action, scrappy problem solving, and moving fast without sacrificing rigor\nNice to Have (Not Required)\nExperience supporting vendor or hardware supplier relationships\nExposure to robotics, VLA models, or foundation model training data\nExperience scaling a data collection program from prototype to high-volume production\nFamiliarity with computer vision, sensor calibration, or robotics data pipelines\nWhy Join Us?\nThis is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.\nWe are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.\nIf you want to run a mature, well-defined commercial org, this may not be the role.\nIf you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it.\nThe base salary range for this full-time position in the location of San Francisco is:\n$150,000—$250,000 USD\nCompensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.","company":"Foundry Robotics","rawCompany":"foundry robotics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T15:56:37.289Z","occupations":[{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Program Manager, Robotics Data","description":"About Us\nFoundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots.\nWe are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality.\nThe Role\nThis role is for a Technical Program Manager who thrives on turning model team requirements into production data, equally comfortable architecting QA systems from first principles and calibrating a rig on the floor. You will define what gets captured, how it lands, and whether it is usable, from early task spec through pre-delivery validation. You will stand up the data collection program from scratch and drive rapid build-test-learn cycles to deliver a dataset that is both rigorous and scalable.\nYou will be the day-to-day interface with our model team and the frontier labs we deliver to, and the source of truth for hours collected, hours delivered, and hours usable. You will partner closely with the Operations Manager, Robotics Data, who owns the workforce, floor execution, and daily fleet readiness.\nKey Responsibilities\nManage the rig fleet end-to-end (UMI grippers, GoPros, VR headsets and controllers), including procurement, lifecycle, asset tracking, spares, and vendor relationships\nOwn rig calibration cadence and drift detection, including GoPro intrinsics, fisheye calibration, UMI gripper width drift, and per-operator VR eye-tracking calibration\nDefine success criteria with the model team, translating high-level data needs into rejection rules an assembler can apply consistently\nAuthor SOPs and hand them to the Operations Manager for floor execution\nOwn new task ramp-up, including spec, SOP, pilot batch design, and quality gate sign-off before full production\nCurate gold-standard demos (20–50 reference demos per task), maintained against drift\nRun post-capture QA (sampling + success classifier) and pre-delivery validation against model team spec\nTrack diversity and coverage across task variants, object positions, lighting conditions, and operator styles\nRun daily capture logs and weekly dataset reporting to model and research stakeholders, including hours captured, hours usable, mix vs. target, top rejection reasons, and blockers\nOwn task spec versioning, coordinating SOP updates, retraining triggers, and data v1/v2 marking when the model team changes a spec\nOwn the 48-hour handoff SLA, including staging, upload integrity, episode schema enforcement, and metadata completeness (operator ID, task ID, success label, timestamp written atomically)\nRun RCA when batches get rejected and close the loop with the floor\nDefine and report against program-level OKRs for usable hours delivered, mix accuracy, and SLA attainment\nOwn data governance and compliance, including episode-level metadata for auditability, retention and deletion policies, and adherence to data handling standards required by frontier lab partners\nWhat We're Looking For\n3–5 years as a strong PM or TPM with exposure to hardware, data pipelines, or physical workflows\nProven ability to build data collection or technical operations programs from the ground up and improve on existing ones\nComfortable owning task specs, QA programs, and standardization\nEqually effective at a desk and on the floor, with deep hands-on experience calibrating a rig one hour and writing a stakeholder update the next\nSQL or Python proficient enough to pull your own data and build your own dashboards\nTrack record tracking and improving program metrics (usable hours, mix accuracy, SLA attainment, rejection rates)\nExperience providing technical input in a cross-functional environment with researchers and engineers\nCollaborative by nature, you consider downstream impacts on operators, model teams, and infrastructure when making program decisions\nBias toward action, scrappy problem solving, and moving fast without sacrificing rigor\nNice to Have (Not Required)\nExperience supporting vendor or hardware supplier relationships\nExposure to robotics, VLA models, or foundation model training data\nExperience scaling a data collection program from prototype to high-volume production\nFamiliarity with computer vision, sensor calibration, or robotics data pipelines\nWhy Join Us?\nThis is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.\nWe are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.\nIf you want to run a mature, well-defined commercial org, this may not be the role.\nIf you want to build the commercial engine that brings AI-driven manufacturing to every industrial and energy customer in America — this is it.\nThe base salary range for this full-time position in the location of San Francisco is:\n$150,000—$250,000 USD\nCompensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.","datePosted":"2026-08-03T15:56:37.289Z","dateModified":"2026-08-03T15:56:37.289Z","hiringOrganization":{"@type":"Organization","name":"Foundry Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6fde9b8d88898ab382b91905"},"url":"https://jobsearcher.com/jobs/6fde9b8d88898ab382b91905"}}