Senior Product Manager - Coreai

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

Product Manager for CoreAI at Microsoft, focusing on policy enforcement, compliance automation, and AI-driven engineering automation within Microsoft's internal engineering systems. The role involves driving product strategy for platforms that deliver organizational policy controls, event-driven governance workflows, and intelligent automation, with a specific emphasis on integrating multi-agent systems and agentic workflows into engineering platform capabilities.

What you'd actually do

  1. Organizational policy controls that enable engineering teams to focus on their products while 1ES delivers security and compliance tooling.
  2. A policy catalog spanning security and compliance controls, applied and enforced at enterprise scale across Microsoft’s engineering systems.
  3. Automated policy evaluation and response throughout the product lifecycle, with secure evidence collection and retention to minimize the cost of internal and external compliance audits.
  4. Event-driven platforms that enable teams to build reactive applications triggered by events across GitHub and Azure DevOps.
  5. AI-driven automation that bridges engineering systems with intelligent agents for code review, issue triage, technical debt management, documentation generation, and security patching.

Skills

Required

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

Nice to have

  • Bachelor’s degree AND 8+ years of experience in product management, program management, or software development, or equivalent experience.
  • Hands-on experience with security and compliance tooling in CI/CD environments, including policy enforcement, static analysis, secrets scanning, or audit evidence collection.
  • Experience with Azure DevOps and GitHub engineering ecosystems, including webhooks, APIs, and extensibility models.
  • Experience with ML/AI systems, evaluation tools, or developer platforms.
  • Familiarity with Copilot products and workflows.
  • Experience building natural-language or agentic workflows, including multi-agent orchestration systems.
  • Understanding of GitOps principles: declarative configuration-as-code enforcement, compliance and governance policy automation, and self-service developer productivity workflows at organization, project, and repository levels.

What the JD emphasized

  • AI-driven automation
  • multi-agent systems
  • agentic workflows
  • policy enforcement
  • compliance automation
  • security screening requirements

Other signals

  • AI-driven automation
  • multi-agent systems
  • agentic workflows
  • policy enforcement
  • compliance automation