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General Motors

Technical Product Manager, Robotics AI

General Motors

Technical Product Manager driving execution across robotics AI programs at General Motors. Leading cross-functional teams to deliver production-ready AI robotics systems.

Posted 4/30/2026full-timeCalifornia, Missouri • 🇺🇸 United StatesSeniorLeadWebsite

About the role

Key responsibilities & impact
  • Drive Program Execution
  • Lead program execution across AI research, robotics development, simulation, and factory deployment workstreams
  • Track milestones, manage dependencies, and resolve cross-team blockers
  • Run program reviews and coordination loops across AI Research, Robotics Engineering, Data Engineering, and Manufacturing teams
  • Lead Data Program Execution
  • Drive data strategy across multiple sources including factory robotic systems, simulation-generated data, teleoperation data collection, and internal datasets
  • Partner with engineering and manufacturing teams to ensure data pipelines support model training, evaluation, and deployment
  • Communicate Program Progress
  • Prepare structured updates on program progress, risks, and key decisions for leadership
  • Translate complex technical developments into clear executive-level insights
  • Support strategic documents related to partnerships and major program investments
  • Align Cross-Functional Teams
  • Coordinate execution across AI research, robotics engineering, infrastructure platforms, and manufacturing operations
  • Manage dependencies between simulation environments, lab systems, data infrastructure, and model development
  • Support technical discussions with external robotics and AI partners when needed

Requirements

What you’ll need
  • 7+ years of experience in technical program management or product management
  • 3+ years supporting AI, machine learning, or robotics programs
  • Experience managing complex technical programs across multiple teams and workstreams
  • Technical depth to collaborate effectively with AI researchers, robotics engineers, and data engineers
  • Experience with machine learning pipelines and data infrastructure, including data ingestion, labeling, evaluation, and deployment workflows
  • Ability to translate complex technical progress into clear executive communications
  • Experience supporting data programs including data collection strategies, annotation workflows, and pipeline development
  • Ability to operate effectively in fast-paced technical environments with evolving priorities
  • Background in robotics, computer vision, or physical AI systems (preferred)
  • Familiarity with robotics concepts such as 6DoF pose estimation, grasp planning, sim-to-real transfer, and behavior cloning (preferred)
  • Experience evaluating or deploying foundation models (preferred)
  • Familiarity with robotics tools such as Isaac Sim, ROS/ROS2, Foxglove, or MCAP (preferred)
  • Experience working with AI systems in manufacturing or industrial environments (preferred)
  • Experience managing large-scale data annotation programs or evaluation frameworks (preferred)
  • Experience working with external robotics or AI technology partners (preferred).

Benefits

Comp & perks
  • From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
technical program managementproduct managementAImachine learningroboticsdata infrastructuredata pipelinesdata collection strategiesannotation workflowsfoundation models
Soft Skills
communicationcollaborationproblem-solvingstrategic thinkingleadershipadaptabilitycross-functional coordinationexecutive communicationmilestone trackingrisk management