Principal Product Manager - Devops AI - Coreai

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

Principal Product Manager for DevOps AI within CoreAI at Microsoft, focusing on leading platform investments to improve how engineers build, ship, and operate software using AI. The role emphasizes turning AI-assisted development into a trusted, end-to-end capability across the engineering lifecycle, ensuring AI workflows meet standards for security, reliability, compliance, and operational excellence.

What you'd actually do

  1. Drive crosscutting platform investments across the GitHub / Azure DevOps / 1ES ecosystem, with a focus on AI assisted developer productivity across the full engineering lifecycle (inner loop,CI/CD ,operations, governance).
  2. Identify high leverage opportunities where AI can meaningfully reduce friction and toil for developers while improving quality, reliability, and consistency of outcomes.
  3. Define clear problem statements, product bets, and success metrics that balance speed of iteration with trust, safety, and operational requirements.
  4. Operate in a startup mode, moving quickly from hypothesis to MVP to scaled rollout through rapid experimentation and iteration.
  5. Partner closely with engineering, security, compliance, privacy, and AI platform teams to ensure solutions are production ready and scalable, not experimental or one off.

Skills

Required

  • Bachelor's Degree AND 8+ years experience in product/program management or software development OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.

Nice to have

  • 10+ years of product management experience building and shipping platform, infrastructure, or developer tooling products.
  • Proven experience working across multiple teams and systems to deliver outcomes in complex, highly matrixed organizations.
  • Ability to define and drive ambiguous problem spaces, turning strategy and research into concrete, actionable product investments.
  • Experience with AI assisted developer workflows, automation, or intelligent systems applied to software engineering.
  • Understanding of developer workflows and DevOps systems, including build, test, release, and operational feedback loops.
  • Excellent communication and stakeholder management skills, with the ability to align diverse partners around shared goals, tradeoffs, and success metrics.
  • Familiarity with enterprise requirements around security, compliance, privacy, and reliability, especially in largescale engineering environments.
  • Background working with or supporting large engineering organizations where platform decisions have broad, longterm impact.
  • Track record of delivering improvements that are measured not just by feature adoption, but by sustained gains in developer efficiency, quality, and trust.

What the JD emphasized

  • production ready and scalable
  • end-to-end
  • trusted, end-to-end capability
  • enterprise grade governance
  • security, reliability, compliance, and operational excellence
  • AI assisted developer workflows

Other signals

  • AI assisted developer productivity
  • AI assisted workflows
  • AI should be applied responsibly