Operations Manager, Data Aquisition

Operations Manager, Data Aquisition About the 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 are seeking a Leader, DAQ Operations to own and scale the system that enables robotics data collection across OpenAI’s robotics program. 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 center 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. In this role, you will: Own the DAQ Operating System: - Own the end-to-end system that enables robotics data collection across stations, workforce, and facilities - Ensure robotics fleet, station software, workforce execution, and infrastructure operate as a single, reliable system - Set operating rhythms, decision frameworks, and escalation paths that keep execution unblocked - Drive step-function improvements in throughput, reliability, and data quality Drive Cross-Functional Execution: - Act as the single point of operational alignment across robotics research, engineering, and operations - Force clarity on priorities, readiness, and constraints to keep deployments moving - Ensure new platforms, workflows, and capabilities land cleanly into operations - Push real-world operational feedback upstream to shape engineering and research decisions Own Workforce & Vendor Performance: - Own execution of the managed workforce model through a services partner - Set expectations, metrics, and escalation paths with vendor leadership - Ensure workforce readiness keeps pace with changing station workflows and programs - Hold partners accountable to performance, throughput, and quality outcomes Run Fleet, Software, and Infrastructure Coordination: - Ensure tight coordination across fleet reliability, station software, and operational infrastructure - Own readiness of materials, consumables, and station inputs required for continuous execution - Surface issues early, drive fast resolution, and prevent recurrence through system fixes Scale Site Operations: - Own expansion of DAQ operations - Define and enforce repeatable operating standards across sites - Build site leadership structure and coordination mechanisms that scale with growth - Ensure consistent execution as complexity and footprint increase Drive Alignment in Ambiguous Environments: - Create clarity across senior stakeholders when priorities, timelines, and constraints conflict - Make tradeoffs explicit and drive decisions to keep execution moving - Maintain tight communication across engineering, research, and operations as systems evolve 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 - Are equally comfortable with senior technical stakeholders and frontline operational teams - Default to action, speed, a ... (truncated, view full listing at source)