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OpenAIOpenAISan Francisco, CA

Technical Program Manager, Robotics Data Acquisition

Technical Program Manager owns and scales robotic data acquisition systems, driving cross-functional integration of hardware, software, and operations to deliver high-quality data for AI model training. Requires 5+ years in technical program management or systems engineering in robotics or hardware environments.

257k – 300k/yr
Hybrid5+ YOETechnical Program Management

About the role

Responsibilities

  • Own DAQ Program Delivery: Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities.
  • Drive Cross-Functional Integration: Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems.
  • Operationalize Data Collection Systems: Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets.
  • System Readiness & Deployment: Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites.
  • Program Execution & Risk Management: Build and manage detailed program plans, identify risks early, and drive mitigation across technical and operational domains.
  • Capacity & Throughput Planning: Model and plan DAQ capacity (stations, operators, uptime) to meet evolving data demands, balancing speed, cost, and quality.
  • Quality & Data Integrity Oversight: Partner with engineering and data teams to define and enforce data quality standards, ensuring consistency and usability for downstream model training.
  • Continuous Improvement: Drive improvements in system reliability, utilization, and efficiency through instrumentation, feedback loops, and process optimization.

Requirements

  • 5+ years of experience in technical program management, systems engineering, or operations in hardware, robotics, or infrastructure-heavy environments.
  • Strong systems-level thinking across hardware, software, and operational workflows.
  • Proven ability to lead complex, cross-functional programs with high ambiguity.
  • Experience scaling physical systems (labs, factories, robotics fleets, or test infrastructure).
  • Comfortable working close to hardware and debugging real-world system issues.
  • Strong analytical skills; able to model capacity, throughput, and system performance.
  • Excellent communication skills with the ability to align diverse stakeholders.

Skills

RoboticsData AcquisitionDaq SystemsHardware IntegrationSoftware IntegrationData PipelinesSystems EngineeringProgram ManagementRobotic PlatformsSensorsKubernetesGCP

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