
Principal Product Manager
Microsoft · United States
- Hybrid
- Full-time
- $274,800 / year
- United States
Job highlights
- Define AI skilling vision and strategy.
- Convert customer insights into product roadmaps.
- Lead cross-functional teams to build AI features.
- Drive product adoption and growth globally.
- Ensure quality and measurable learning outcomes.
About the role
Overview
We’re building next generation AI-powered skilling experiences that help people and organizations learn faster, prove what they know, and keep pace with AI driven work. As a Principal Product Manager, you’ll set the vision, shape the roadmap, and lead cross functional teams to deliver delightful, measurable learning outcomes on a global scale.
You’ll thrive here if you love turning deep customer insight into bold product bets, partnering closely with Design and Engineering, and shipping high quality experiences that people can’t wait to use. We value clarity, curiosity, and craft—and we’ll give you the autonomy and support to do your effective work.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their highly qualified contributions each day. Join us and help shape the future of the world.
Responsibilities
The Principal Product Manager is responsible for the following:
- Set the North Star – Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios; translate it into clear success metrics.
- Turn Insight into Product – Use qualitative and quantitative research to uncover unmet needs and convert them into crisp scenarios, roadmaps, and MVPs.
- Lead the Portfolio – Prioritize data informed investments; make tradeoffs across content, platform, telemetry, cost/latency, privacy, and compliance.
- Build AI First Experiences – Partner with Design and Engineering to ship LLM powered features (recommendations, coach, pathways, assessment) that are usable, accessible, and trustworthy.
- Raise the Bar on Quality – Establish measurement for engagement, learning outcomes, credential attainment, reliability, and performance; iterate based on evidence.
- Launch and Grow – Collaborate with Product Marketing and field teams to craft narratives, land launches (e.g., major events), and drive adoption and retention.
- Win with Partners – Work with internal/external partners (e.g., content providers, platform teams) to expand catalog depth, credentials, and enterprise integrations.
- Model Reliable Product Leadership – Create clarity, build energy, and deliver results across multiple squads/epics through inclusive, transparent execution.
Qualifications
- Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
Preferred Qualifications
- Bachelor's Degree in Computer Science, Engineering, Human Computer Interaction, Data/AI, or related technical field or equivalent practical experience AND 12+ years of product leadership with enterprise SaaS/platform experience OR equivalent experience.
- Advance Degree in (e.g. MS in Computer Science, Engineering, Human Computer Interaction, Data/AI, or MBA) is a plus.
- 6+ 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).
- 6+ 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 of experience end to end product management experience shipping large-scale, cross-functional products or platforms.
- 6+ years of experience leading product teams building consumer products.
- 6+ years of experience in machine learning and/or AI.
- 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
- Domain expertise in learning/skilling, credentials/assessment, or workforce development; familiarity with content pipelines and role based learning paths.
- Hands-on experience bringing generative AI to production (prompting, evaluation, safety & governance, cost/perf optimization).
- Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis).
- Demonstrated executive storytelling and external thought leadership (talks, blogs, community).
Other
- Embody our culture and values
- 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.
Compensation
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 - $274,800.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000.00 - $304,200.00 per year.
Product Management IC6 - The typical base pay range for this role across the U.S. is USD $165,600.00 - $296,400.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800.00 - $331,200.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Equal Opportunity Employer Statement
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Key skills/competency
- Product Management
- AI/ML
- Roadmap Development
- Cross-functional Leadership
- Customer Insight
- Product Strategy
- Launch and Growth
- Skilling and Learning
- Generative AI
- SaaS Platforms
Skills & topics
- Principal Product Manager
- Product Management
- AI
- Machine Learning
- Generative AI
- SaaS
- Skilling
- Learning Technology
- Product Strategy
- Roadmap
- Microsoft
How to get hired
- Tailor your resume: Highlight experience in AI, product leadership, and SaaS platforms relevant to the Principal Product Manager role at Microsoft.
- Showcase your impact: Quantify achievements in product metrics, market disruption, and shipping large-scale products.
- Demonstrate AI expertise: Emphasize hands-on experience with generative AI and machine learning applications.
- Prepare for interviews: Be ready to discuss product strategy, customer insights, and leadership through case studies and behavioral questions.
- Understand Microsoft's culture: Align your application with Microsoft's mission and growth mindset values.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI technologies are used in this Principal Product Manager role at Microsoft?
- This Principal Product Manager role focuses on AI-powered skilling experiences, specifically leveraging Large Language Models (LLMs) for features like recommendations, coaching, learning pathways, and assessments. Hands-on experience with generative AI, including prompting, evaluation, safety, and cost optimization, is highly valued.
- What is the expected career progression for a Principal Product Manager at Microsoft?
- As a Principal Product Manager at Microsoft, you are on an individual contributor (IC) track. Progression typically involves moving to higher IC levels (e.g., IC5 to IC6 and beyond), signifying increased scope, impact, and technical leadership within product management. You will continue to shape product strategy and influence product development on a larger scale.
- How does Microsoft approach product development for skilling and learning?
- Microsoft's approach to skilling and learning is AI-driven, aiming to help individuals and organizations learn faster and adapt to AI-powered work. The Principal Product Manager will define the vision and strategy, translate customer insights into roadmaps, and partner with engineering to build AI-first experiences that deliver measurable learning outcomes.
- What are the key differences between IC5 and IC6 levels for this Principal Product Manager role?
- While both are Principal Product Manager roles, the IC6 level typically involves a broader scope of influence and impact compared to IC5. This might include leading more complex or strategic initiatives, mentoring other product managers, and contributing more significantly to the overall product portfolio strategy.
- How important is domain expertise in learning/skilling for this Principal Product Manager position?
- Domain expertise in learning/skilling, credentials/assessment, or workforce development is highly preferred for this Principal Product Manager role. Familiarity with content pipelines and role-based learning paths will be a significant asset in defining and delivering effective AI-powered skilling experiences.
- What security screenings are required for this Principal Product Manager job at Microsoft?
- This role requires passing a Microsoft Cloud Background Check upon hire and every two years thereafter. Additional customer and/or government security screenings may also be necessary depending on the specific projects and data handled.