Principal Product Manager

Microsoft•Redmond, WA

9d•Hybrid

About The Position

As a Principal Product Manager for Employee Experience, you will define the strategy, vision, and roadmap for AI-powered products and platforms that transform how employees interact with HR and workplace services. This role spans the full product lifecycle—from discovery to launch and iteration—delivering personalized, seamless experiences across the employee journey. You’ll collaborate with engineering, data science, research, design, and go-to-market teams to build scalable, responsible AI solutions that delight users and drive measurable business impact. Success requires deep HR domain expertise, strong product leadership, technical fluency in AI/ML, and the ability to create clarity and momentum in fast-paced, high-ambiguity environments. This position is based at the Redmond campus with 3 days per week work in the office, and 2 days per week work from home. Relocation support is available. Our mission is to empower every person and every organization on the planet to achieve more. We innovate with a growth mindset, collaborate to realize shared goals, and uphold values of respect, integrity, and accountability to foster an inclusive culture where everyone thrives.

Requirements

Bachelor's Degree AND 10+ years experience in product/service/program management or software development OR equivalent experience.

Nice To Haves

10+ years of product management or comparable experience, including 4–6+ years building AI/ML or data products at scale.
8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
Demonstrated ability to own strategy/roadmap and deliver end-to-end product experiences with clear outcomes.
Technical fluency in the ML lifecycle (data, training, evaluation, deployment), model limitations, and tradeoffs; able to contribute meaningfully to technical discussions.
Analytical skills; proficiency with experimentation, metrics definition, and interpreting qualitative/quantitative signals.
Effective communication and stakeholder management; proven experience influencing across functions and levels.
Experienced leveraging AI agent infrastructure to deliver individual and team business aligned value.
Background in AI evaluations, data collection pipelines, or ML infrastructure at scale.
Experienced leading AI first enterprise-wide transformations in corporate functions.

Responsibilities

Analysis of Customer and Market Signals
Go To Market
Product/Service Definition
Product/Service Development
Product/Service Performance
Product Vision & Roadmap: Define and own multi-quarter roadmap; prioritize based on user impact, technical feasibility, and business outcomes.
Success Metrics: Establish OKRs and KPIs; track and report business impact.
End-to-End Execution: Lead product development from requirements to launch and iteration; make evidence-based decisions.
Translate AI to Value: Partner with ML researchers and engineers to turn foundation models, LLMs, and pipelines into customer value.
Experimentation & Analytics: Design A/B tests, telemetry, and analytics; validate hypotheses through data.
Cross-Functional Alignment: Drive alignment across engineering, design, research, legal, and security; communicate effectively at all levels.
Responsible AI: Embed fairness, transparency, privacy, and security into product design and launch criteria.
Customer Engagement: Gather feedback from customers and field teams; advocate for user needs throughout development.
Operational Excellence: Maintain backlog health, release planning, and issue resolution.