Technical Program Manager, Robotics Data Acquisition

About Team

Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.

About the Role

We’re looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition across our development and evaluation environments. This role sits at the intersection of Robotics Engineering, Operations, and Infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation.

You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure.

In this role you will:

• 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