Operations Program Manager - Robotics Data Acquisition

Responsibilities

• Own the day-to-day operating rhythm in robotics data collection facilities, managing workstations, operators, and materials.
• Track core operating metrics including utilization, cycle time, throughput, downtime, and data quality.
• Identify bottlenecks through workflow analysis, time studies, and capacity modeling to drive practical improvements.
• Execute the rollout of new hardware, sensors, tools, and process changes in collaboration with Engineering and Supply Chain teams.
• Coordinate with technical support to ensure workstations and test equipment are calibrated, maintained, and ready for use.
• Lead root cause analysis for recurring operational issues and implement corrective actions.
• Develop and maintain SOPs, work instructions, training materials, and process controls.

Requirements

• Bachelor's degree in Industrial, Mechanical, Manufacturing, or a related technical engineering field.
• 3-5 years of hands-on experience in manufacturing, industrial/process engineering, or robotics operations.
• Proven experience using Lean, Six Sigma, or similar methodologies to improve operational processes.
• Strong understanding of operating KPIs such as cycle time, takt time, throughput, utilization, and OEE.
• Experience with robotics data acquisition, autonomous vehicle systems, or automation environments.
• Ability to work onsite in San Francisco 5 days a week.

Benefits

• Medical, dental, and vision insurance with employer contributions to HSAs.
• 401(k) retirement plan with employer match.
• Generous equity and performance-related bonuses.
• Paid parental leave and flexible PTO.
• Daily meals in the office and meal delivery credits.
• Annual learning and development stipend.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. Our Robotics team focuses on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments.