Foundry Robotics
Technology
TechnicalProgramManager,RoboticsData
Neural analysis suggests this role is
optimal for Manager candidates.
“Technical Program Manager, Robotics Data at Foundry Robotics. Skills: Robotics data, Data collection program, QA systems, Rig management. Manage rig fleet end-to-end. Own rig calibration cadence”
What You'll Achieve.
Deliver rigorous dataset; Deliver scalable dataset; Meet 48-hour handoff SLA; Achieve usable hours delivered; Achieve mix accuracy; Achieve SLA attainment
Industry & Context.
Root cause analysis; Scrappy problem solving
What They're Looking For.
Must Have
3-5 years as PM or TPM, Exposure to hardware, Exposure to data pipelines, Exposure to physical workflows, Build data collection programs from scratch, Improve existing data collection programs, Own task specs, Own QA programs, Own standardization, SQL proficient, Python proficient, Build own dashboards, Track program metrics, Improve program metrics, Provide technical input, 48-hour handoff SLA
Nice to Have
Experience supporting vendor relationships, Experience supporting hardware supplier relationships, Exposure to robotics, Exposure to VLA models, Exposure to foundation model training data, Scale data collection program from prototype, Scale data collection program to high-volume production, Familiarity with computer vision, Familiarity with sensor calibration, Familiarity with robotics data pipelines
What You'll Do.
Manage rig fleet end-to-end
Own rig calibration cadence
Define success criteria
Sign-off quality gates
Curate gold-standard demos
Run pre-delivery validation
Track diversity and coverage
Run daily capture logs
Run weekly dataset reporting
Own task spec versioning
Coordinate SOP updates
Coordinate retraining triggers
Own 48-hour handoff SLA
Ensure upload integrity
Enforce episode schema
Ensure metadata completeness
Run RCA when batches rejected
Close loop with floor
Define program-level OKRs
Report program-level OKRs
How You'll Work.
Team & Collaboration
Interface with model team; Interface with frontier labs; Partner with Operations Manager; Cross-functional environment; Work with researchers; Work with engineers
Communication Scope
Stakeholder updates; Dataset reporting
Process & Methodology
Program management, Asset tracking, Vendor relationships, Lifecycle management, SLA management, OKRs
Full Job Description
ABOUT US Foundry 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. We 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. THE ROLE This 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. You 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. KEY RESPONSIBILITIES - Manage the rig fleet end-to-end (UMI grippers, GoPros, VR headsets and controllers), including procurement, lifecycle, asset tracking, spares, and vendor relationships - Own rig calibration cadence and drift detection, including GoPro intrinsics, fisheye calibration, UMI gripper width drift, and per-operator VR eye-tracking calibration - Define success criteria with the model team, translating high-level data needs into rejection rules an assembler can apply consistently - Author SOPs and hand them to the Operations Manager for floor execution - Own new task
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