This role is at the centre of the system that enables robotics data collection across OpenAI's robotics program. As the Leader, DAQ Operations, you will own and scale the system that enables robotics data collection. This system spans our robotic stations, a large managed workforce, and facilities, while engineering and research teams continuously evolve the platforms and workflows running on top.
You will sit at the centre of this system, ensuring alignment across research, engineering, operations, and external partners so data collection runs reliably at scale. This is a single-threaded ownership role,responsible for making the system operate cohesively, scale across sites, and continuously improve as robotics capabilities evolve.
Success in this role requires strong cross-domain leadership and coordination across senior stakeholders, including robotics engineering, software teams, research leaders, operations teams, and external service partners.
Key responsibilities include:
- Owning the DAQ Operating System: ensuring robotics fleet, station software, workforce execution, and infrastructure operate as a single, reliable system
- Driving cross-functional execution: acting as the single point of operational alignment across robotics research, engineering, and operations
- Owning workforce & vendor performance: executing the managed workforce model through a services partner
- Running fleet, software, and infrastructure coordination: ensuring tight coordination across fleet reliability, station software, and operational infrastructure
- Scaling site operations: expanding DAQ operations and defining repeatable operating standards across sites
You might thrive in this role if you have led complex, cross-functional systems spanning engineering, operations, and external partners, operate as a single-threaded owner who drives alignment and execution across ambiguous environments, can impose structure, operating cadence, and accountability on messy, evolving systems, and enjoy owning system-level outcomes, not just functional pieces.
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