Senior Product Manager - Coreai

Microsoft Microsoft · Big Tech · Redmond, WA +2 · Product Management

Product Manager for CoreAI team at Microsoft, focusing on improving productivity for software engineers and AI agents by enhancing foundational platforms, services, and developer experiences. The role involves identifying opportunities, collaborating with product owners, standardizing tooling, and working with cross-functional teams. Requires a background in coding or development, familiarity with CI/CD systems, and experience pitching ideas to developers. Experience with AI and AI-coding tools, and analyzing telemetry data is also expected.

What you'd actually do

  1. Identify and rally the team around high value opportunities to improve Engineering Productivity, Software Quality and Developer Satisfaction.
  2. Collaborate with various product owners at Microsoft to co-partner on opportunities and help boost their developers’ productivity.
  3. Standardize Engineering systems tooling inside Microsoft.
  4. Work with cross-functional teams to ensure successful product development and outcomes.
  5. Be a power user and evangelist of Engineering Systems products the candidate will own.

Skills

Required

  • Bachelor's Degree AND 5+ years experience in product/program management or software development
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical product management experience OR equivalent experience as a developer.
  • Experience using Developer products and workflows, including tools such as Visual Studio Code, Azure DevOps, GitHub and AI.
  • Experience pitching, building and rolling out tools/services to developers.
  • Hands-on experience with analyzing structured data supporting/disproving assumptions and predictions.

What the JD emphasized

  • background in coding or be a developer interested in transitioning to product management
  • familiar with the software engineering tools landscape
  • using AI and AI-coding tools
  • writing queries against telemetry databases to identify opportunities