Staff Product Manager, AI Developer Productivity

Why join us? 
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions, and zero congestion. As we move toward this vision, software plays an integral role as it becomes more prominent in our vehicles. 

Our ambition in Vehicle Autonomy Product Management is to build a world-class software development culture that is part of the company’s shared vision. We are creating an elite portfolio of software-defined vehicles by tightly integrating software, hardware, and services to create complete and compelling vehicle experiences for our customers. 
 

Why This Role 
AI is already a vital part of our development process, contributing significantly to our core codebase. Engineers are realizing substantial productivity gains through AI-powered tools. We've proven the value — now it's time to dramatically expand its impact. 

This role owns the product strategy for that scaling effort. You’ll define how agentic workflows — AI agents that execute multi-step development tasks autonomously — move from advanced-user adoption to mainstream engineering practice. 

This is a rare intersection: AI developer productivity at production scale, inside a safety-critical autonomous vehicle program. 

About the Team 
GM’s AV division runs one of the industry’s largest autonomous vehicle fleets. Your work enables the hundreds of engineers building that platform — developer productivity at scale inside a safety-critical program. 

AV Developer Productivity owns the developer experience across GM’s AV division — build systems, CI/CD pipelines, developer tooling, observability, and our AI productivity platform. You’ll work directly with senior engineering managers and Staff+ ICs across multiple AI productivity teams and a dedicated ADAS convergence Build & Integration team. 

We invest in best-in-class AI coding tools, integrate internal MCP servers, and have built infrastructure that enables AI agents to run builds and tests at monorepo scale. Day-to-day, you’ll report to AV Product Management and partner closely with the Developer Productivity engineering leadership team. 

We don’t expect AV domain expertise on day one — we’ll invest in your ramp-up. 

Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, infrastructure, and vehicle teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and translating business needs into engineering priorities. 

 
What You’ll Do 

• Own the product roadmap covering agentic execution environments, the skills and MCP (Model Context Protocol) ecosystem, agent orchestration, and AI-powered code review; deliver a 12–18 month plan with clear milestones and success criteria. 

• Drive developer adoption through training, newsletters, cross-team projects, and developer feedback sessions to move engineers from passive AI use to agentic workflows. 

• Define and track success metr