Principal Product Manager - DevOps AI - CoreAI

Microsoft • Redmond, WA

4d

About The Position

Microsoft’s mission is to empower every person and every organization to achieve more. The One Engineering System (1ES) team within CoreAI builds and operates the engineering platforms that power Microsoft’s internal development ecosystem at global scale.
We are looking for a Principal Product Manager - DevOps AI - CoreAI with a focus on DevOps AI to lead crosscutting platform investments that improve how Microsoft engineers build, ship, and operate software using AI—safely, reliably, and at scale. This role sits at the intersection of DevOps platforms, AI systems, and enterprise grade governance, and focuses on turning AI assisted development into a trusted, end-to-end capability across the engineering lifecycle.
This is a platform leadership role. You will drive investments across teams to reduce developer toil, accelerate iteration, and improve outcomes—while ensuring AI assisted workflows meet Microsoft’s standards for security, reliability, compliance, and operational excellence.

Requirements

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• 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.

Responsibilities

• 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).
• Identify high leverage opportunities where AI can meaningfully reduce friction and toil for developers while improving quality, reliability, and consistency of outcomes.
• Define clear problem statements, product bets, and success metrics that balance speed of iteration with trust, safety, and operational requirements.
• Operate in a startup mode, moving quickly from hypothesis to MVP to scaled rollout through rapid experimentation and iteration.
• Partner closely with engineering, security, compliance, privacy, and AI platform teams to ensure solutions are production ready and scalable, not experimental or one off.
• Drive execution across multiple systems and teams in a highly matrixed environment, influencing roadmaps and priorities without direct authority.
• Ensure AI assisted workflows are designed end-to-end, with clear ownership, feedback loops, and failure modes—not isolated point solutions.
• Use data, developer feedback, and operational signals to evaluate impact and continuously improve platform investments.
• Act as a thought partner to engineering and leadership teams on how AI should be applied responsibly within Microsoft’s engineering system.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal