Senior Technical Product Manager, Robotics AI Strategy & Operations
Job Description
Shape how robotics and AI translate into measurable manufacturing value through strategy and hands-on execution across GM programs.
Responsibilities
- 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
Requirements
- 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
Preferred Qualifications
- 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