Principal Product Manager- Copilot

Microsoft•Redmond, WA
•$142,800 - $304,200

About The Position

The Copilot Platform team builds foundational capabilities that power AI experiences across Microsoft 365 Copilot. Its mission is to create a secure, reliable, and scalable platform that enables teams across Microsoft to build and deliver high-quality Copilot experiences. The Principal Product Manager will lead the vision and strategy for Agentic Engineering across Microsoft 365 Copilot and BizChat. The role focuses on reimagining the software development lifecycle around collaboration between engineers and AI agents, extending beyond using AI to speed up individual engineering tasks. The Product Manager will define how agentic capabilities can transform planning, design, development, testing, deployment, monitoring, and production operations, and partner with engineering and product leaders to turn that vision into scalable platforms, workflows, and practices that improve engineering velocity, quality, reliability, and developer experience.

Requirements

  • Bachelor's degree and 8+ years of experience in product/service/program management or software development, or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

  • Experience in product management, software engineering, technical program management, or equivalent roles delivering technically complex products or platforms.
  • Ability to define product vision and strategy in ambiguous and rapidly evolving areas.
  • Understanding of software development practices, developer workflows, and the software development lifecycle.
  • Experience working with AI, developer platforms, engineering systems, or large-scale cloud services.
  • Ability to lead complex initiatives across multiple engineering teams and organizational boundaries.
  • Analytical skills and experience defining measurable product and business outcomes.
  • Excellent written and verbal communication skills and ability to influence technical teams and senior leaders.
  • Experience with generative AI, AI agents, AI-powered developer tools, or developer productivity platforms.
  • Experience building platforms, tools, or workflows used by large engineering organizations.
  • Understanding of AI evaluation, agent orchestration, human-in-the-loop systems, or autonomous workflows.
  • Experience with large-scale distributed systems, DevOps, reliability, or production engineering.

Responsibilities

  • Define the vision and strategy for Agentic Engineering across the end-to-end software development lifecycle.
  • Identify high-value opportunities for AI agents to improve how engineers design, build, test, deploy, monitor, and operate software.
  • Develop a product strategy and roadmap for moving from AI-assisted development toward increasingly agent-native engineering workflows.
  • Partner with engineering teams to create reusable agentic capabilities, platforms, and patterns that can scale across a large engineering organization.
  • Establish success metrics to measure engineering productivity, quality, reliability, cycle time, and developer experience.
  • Drive adoption of agentic engineering practices and help teams evolve how they build and operate software.
  • Bring together related investments across teams into a cohesive strategy while enabling teams to innovate within their domains.
  • Influence senior product and engineering leaders and drive alignment across organizational boundaries.
  • Stay current with advances in AI agents and software engineering and translate emerging capabilities into meaningful engineering transformation.
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