Principal Product Manager, Platform Engineering

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Product Management

Product Manager for a new AI-first internal developer platform team at Microsoft. The role focuses on building and owning the platform as a product, empowering thousands of engineers to ship faster and safer using AI-powered tools, copilots, and agents. Responsibilities include roadmap ownership, defining and measuring success, prototyping with agents, and driving adoption. Requires hands-on experience with generative AI and agents for building, and a strong product management background.

What you'd actually do

  1. Own the platform roadmap across the teams we serve: aggregate demand, set priorities, sequence what ships, and make the calls on what we won't build.
  2. Own the measurement: define what "faster and safer" means, instrument it, and report the honest signal, including when the platform isn't earning adoption yet.
  3. Prototype and build your own dashboards, tools, and analyses with agents and code, so you can test an idea or read the data without waiting on someone else.
  4. Run the adoption motion: onboarding, docs, developer relations (DevRel), and the feedback loop that turns a useful platform into an adopted one.
  5. Partner with the architects and engineers on what to build and why. You own the roadmap; they own the technical how.

Skills

Required

  • Product Management
  • Software Development
  • Developer-facing or internal product ownership
  • Prototyping and self-analysis
  • Data analytics and experimentation
  • Understanding of AI/ML concepts
  • Ability to read code and reason about architecture

Nice to have

  • Experience owning a developer-facing or platform product (an internal developer platform (IDP), developer tools, or developer experience / DevEx)
  • Hands-on experience using generative AI and agents to build (prototypes, tools, or shipped product)
  • Track record of making product decisions from data: defining the metrics, instrumenting them, and driving the outcomes.

What the JD emphasized

  • AI-first developer platform
  • build, from scratch
  • AI-native
  • generative AI and agents to build
  • prototype and build your own dashboards, tools, and analyses with agents and code
  • Technical enough to earn engineers' trust: you can read the code, reason about the architecture, and hold your own with a senior architect on tradeoffs.

Other signals

  • building an internal developer platform
  • golden paths
  • developer experience
  • copilots and agents
  • agent-driven workflows
  • platform as a product
  • AI-native
  • generative AI and agents to build