Technical Program Manager, Robotics Data Acquisition

OpenAI•San Francisco, CA

About The Position

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.

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

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.