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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

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