Description Role overview GM's Robotics AI Product Management and Strategy organization is seeking an experienced technical product and strategy leader to shape how robotics and AI create value across automotive manufacturing. You will partner with AI Research, AI Engineering, Robotics Engineering, Data Engineering, and Manufacturing Engineering to turn technical capabilities into prioritized products, investment decisions, and deployable solutions.
This role combines product management, strategy, and hands-on program operations. A strong robotics background is central, complemented by meaningful experience with AI and data-driven systems. You will move between long-range strategy and execution details-building alignment, surfacing trade-offs, and communicating clearly with technical teams and senior leaders.
Key responsibilities - Define and refine Robotics AI strategy with leadership, including priority problems, investment sequencing, and measurable success criteria.
- Partner with manufacturing stakeholders to identify and prioritize features/ use cases-such as kitting, sequencing, and fastening-assess feasibility and ROI, and shape deployment roadmaps tied to manufacturing outcomes.
- Build alignment across engineering, research, product, and manufacturing teams on robotics lab product roadmaps, technical product architecture, and launches to the factory floor.
- Translate complex technical choices into clear options, trade-offs, recommendations, and executive-ready presentations and decision documents for SVP-level and senior audiences.
- Lead cross-functional strategy programs across robotics and hardware, including vision cost strategy, gripper and scene-camera strategies, automated CAD pipelines, and generalizable part learning.
- Evaluate emerging robotics and AI technologies, vendors, and startups; develop build-versus-buy recommendations and synthesize opportunities, risks, and investment implications.
- Drive operating execution, including vendor onboarding, purchasing processes, and coordination across parallel workstreams.
Required qualifications - 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, including meaningful work in robotics and robotics AI.
- Strong experience with robotics or physical AI systems; experience in automotive, manufacturing, industrial, or logistics settings is especially valuable. AI fluency and the ability to bridge disciplines are also essential.
- A track record of leading complex, ambiguous, cross-functional programs with multiple parallel workstreams and delivering outcomes.
- Strategic and analytical judgment: able to frame problems, evaluate options, work with data, and define useful KPIs in complex technical domains.
- Excellent storytelling and communication skills, including storyboarding and crafting clear narratives that connect technical progress to business and manufacturing outcomes.
- A collaborative, hands-on approach: able to build trust across disciplines, learn new technologies quickly, and get into the details of data, tools, and processes when needed.
Preferred qualifications - Robotics hardware knowledge/experience - related to Fanuc robots, Universal Robots (URs), cameras (Zivid, Realsense, etc.), etc.
- Management consulting experience or equivalent strategy experience.
- Demonstrated strength in experimentation, data-driven decision-making, and KPI design.
- A track record of helping teams adopt new technical capabilities, tools, or ways of working.
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