About the job
Are you a Product Manager who builds? We're looking for someone with real experience using AI developer tools, shipping products in fast-moving spaces, and turning ambiguity into things that work. You'll use the platform yourself every day and build for engineers who give you direct, immediate feedback.
Responsibilities
Own product strategy, vision, and roadmap for a defined area of Microsoft's agentic platform, and drive it end-to-end from discovery through launch, adoption, and iteration.
Use AI tools in your daily work, prototype product concepts yourself, and stay current on the fast-moving landscape of AI developer tools and agentic systems. Bring that depth to every product decision.
Demonstrate resiliency to experiment and try multiple AI-driven product approaches that may not work, because no one has tried them before.
Define how developers discover, adopt, and get value from the platform and its ecosystem of agents and plugins, whether that means onboarding, governance, developer experience, or scaling adoption across new engineering orgs.
Lead with judgment, verify with data. Have a point of view on what to build, then use metrics like adoption, engagement, and productivity impact to validate it. Make the case to leadership with evidence and a clear view of what is or isn't working.
Work closely with engineering managers, principal engineers, and technical leads to scope work, make trade-offs, and make sure the team is building the right things.
Drive cross-team roadmap alignment and decision-making with partner teams across Microsoft working on AI, developer tooling, and engineering systems, including GitHub, DevDiv, and internal platform teams.
Stay close to your customers. Run feedback loops with developers, pull insights from telemetry and direct
Qualifications
Minimum
Bachelor's Degree AND 5+ years experience in product/service/program management or software developmentOR equivalent experience.
Preferred
Bachelor's Degree AND 8+ years experience in product management, program management, or software development,OR equivalent experience.
Proven experience as a Product Manager shipping developer tools, platforms, or infrastructure products end-to-end.
A builder mindset. You use AI tools to prototype workflows, validate product ideas, or directly shape what got built, not just to draft documents faster.
Hands-on experience with AI-powered developer tooling and coding assistants such as GitHub Copilot, Copilot Workspace, Claude Code, OpenAI Codex, ChatGPT, Cursor, or similar.
A clear point of view on what great looks like and a strong conviction on how AI is transforming the software development experience, gained through hands-on work. Turns ambiguous, fast-changing problem spaces into clear strategy, crisp requirements, and product roadmaps.
Track record of driving product adoption at scale. You know how to move from early adopters to broad rollout and can point to the metrics that prove it.
Excellent cross-functional collaboration skills. You work effectively across engineering, design, data science, and leadership stakeholders.
Comfort leading in ambiguous, fast-moving problem spaces where best practices are still being established.
Prior experience defining product strategy for agent or plugin ecosystems, marketplaces, or extensibility platforms.
Experience with governance, security, or compliance considerations for platforms or marketplaces, especially in an enterprise or regulated context.
Expertise in agentic AI development patterns like multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows.
Background in developer productivity metrics and instrumentation: PR velocity, lead time, developer experience measurement, or similar.
Prior experience with enterprise-scale rollouts, including phased adoption, feedback triage, community engagement, and operational readiness at 10,000+ user scale.
Background in developer tooling, build systems, CI/CD pipelines, or engineering systems at scale.