Technical Program Manager, Robotics Data Acquisition · OpenAI

Fri, 24 Apr 2026 12:21:43 GMT
Engineering

OpenAI · San Francisco · $257K – $300K · hybrid

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: 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.

You might thrive in this role if you:

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