Principal Product Manager

Microsoft is modernizing customer, partner, and employee experiences through its Commercial Engineering & AI organization. The Principal Product Manager will define strategy and roadmaps for AI-native engineering workflows and agent capabilities, lead experimentation through production adoption, and improve developer productivity, delivery velocity, and engineering experience.

Responsibilities:

• Define and drive the product vision, investment strategy, roadmap, and success measures for the AI-native engineering workflows and agent capabilities CEAI will build, validate, and scale
• Identify high-value opportunities for agents to improve the full software lifecycle, from understanding customer needs and shaping solutions through implementation, testing, review, deployment, operations, and learning
• Maintain close feedback loops with engineering and product teams, turning developer pain points, behavioral signals, and emerging needs into clear product requirements and scalable solutions
• Instrument, measure, and improve developer productivity, efficiency, ship velocity, adoption, and the overall developer experience, using both quantitative and qualitative evidence
• Incubate, test, and evaluate emerging AI development tools, models, and platforms; assess their applicability in complex production environments and translate promising approaches into durable capabilities
• Lead 0→1 experimentation and incubation, moving quickly from hypothesis to working capability, production validation, adoption, and measurable impact
• Shape enabling platform investments, including golden paths, repository and migration tooling, shared foundations, test environments, identity, secrets, configuration, observability, and safe deployment
• Partner with engineering leaders on architecture, dependencies, operational readiness, prioritization, investment tradeoffs, and risk management
• Participate in senior engineering forums and cross-organizational v-teams, influencing technical and product direction without relying on direct authority
• Model AI-native product development in practice, mentor product managers and cross-functional partners, and raise the bar for clarity, experimentation, execution, and platform-as-product thinking

Requirements:

• Bachelors Degree in Computer Science, Business, Engineering, Mathematics, or a related field AND 10+ years of experience in product, service, project or program management, software development, or engineering OR equivalent experience
• Master's Degree in Computer Science, Business, Engineering, Math, or related field AND 12+ years of product, service, project, or program management, software development, or engineering experience OR Bachelor's Degree in Computer Science, Business, Engineering, Math, or related field AND 14+ years of relevant experience OR equivalent experience
• Proven success defining product strategy and leading complex, cross-functional technical products or platforms from ambiguity through production adoption and measurable outcomes
• Deep hands-on proficiency with current generative AI tools, models, coding agents, and engineering platforms, with experience applying them to real production work rather than demonstrations alone
• Experience improving engineering execution, processes, systems, developer workflows, or developer experience at organizational scale
• Strong technical intuition and the ability to partner deeply with engineering on architecture, cloud platforms, reliability, security, identity, observability, CI/CD, and safe deployment tradeoffs
• Experience building products for developers, internal developer platforms, paved roads, developer tooling, AI-enabled workflows, or cloud infrastructure in complex, brownfield environments
• Demonstrated ability to use customer research, telemetry, experimentation, and business insight to prioritize investments and measure productivity, adoption, user experience, and business impact
• Demonstrated ability to lead 0→1 work, navigate an incompletely defined path, simplify complex ideas, align senior stakeholders, and drive change across a matrixed organization without direct authority