Robotics Product Management Jobs

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Today

General Motors Warren, MI

Warren, MI

Today

Full time Artificial Intelligence Product Management Product Operations

Shape how robotics and AI translate into measurable manufacturing value through strategy and hands-on execution across GM programs.

Own and iterate Robotics AI strategy with leadership, including priority problem selection, investment sequencing, and defined success metrics
Work with manufacturing stakeholders to identify and prioritize robotics use cases, including kitting, sequencing, and fastening
Assess feasibility and ROI for proposed features, then build deployment roadmaps tied to manufacturing outcomes
Drive cross-team alignment across engineering, research, product, and manufacturing on robotics lab product roadmaps, technical product architecture, and launches to the factory floor
Convert complex technical decisions into clear options, trade-offs, recommendations, and executive-ready decision documents for senior audiences
Lead cross-functional strategy programs across robotics and hardware, including:
- Vision cost strategy
- Gripper and scene-camera strategies
- Automated CAD pipelines
- Generalizable part learning
Assess emerging robotics and AI approaches, including vendors and startups, and produce build-versus-buy recommendations
Synthesize opportunities, risks, and investment implications to inform leadership decisions
Run operating execution across parallel workstreams, including vendor onboarding, coordination of purchasing, and program orchestration

Bachelor’s degree or higher in Robotics, Computer Science, Electrical, Mechanical, or Industrial Engineering, or a closely related technical field
6+ years of relevant experience across technical product management, technical program management, corporate strategy, or management consulting
Experience with robotics and robotics AI, including meaningful work applying them to physical systems
Strong experience with robotics or physical AI systems; automotive, manufacturing, industrial, or logistics experience is especially valuable
AI fluency and ability to bridge disciplines across technical and operational teams
Track record leading complex, ambiguous, cross-functional programs with multiple parallel workstreams and delivery of outcomes
Strategic and analytical judgment to frame problems, evaluate options, use data, and define useful KPIs in technical domains
Excellent communication skills, including storyboarding and building narratives that connect technical progress to business and manufacturing results
Collaborative, hands-on style: ability to build trust across disciplines, learn new technologies quickly, and dive into details of data, tools, and processes as needed

Robotics hardware knowledge/experience, including exposure to Fanuc robots, Universal Robots (URs), and cameras (e.g., Zivid, Realsense)
Management consulting background or equivalent strategy experience
Demonstrated strength in experimentation, data-driven decision-making, and KPI design
Evidence of helping teams adopt new technical capabilities, tools, or ways of working

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