Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Principal Product Manager, Personalization AI role.
Rezi rewrites your resume against Microsoft's job description. Free.

Tailor your resume to this Principal Product Manager, Personalization AI role.
Rezi rewrites your resume against Microsoft's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Principal Product Manager, Personalization AI posting at Microsoft — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Principal Product Manager, Personalization AI posting at Microsoft — free, in seconds.
About the Role
Microsoft AI's content team is building the next generation of content with user understanding and personalization systems across Edge, Windows, Copilot, and partner surfaces. This role drives personalization, user understanding, and content ranking systems, defining strategy for AI-native personalization including generative recommendation and agentic user understanding.
Responsibilities
- Define the product vision, strategy, and roadmap for AI-powered personalization across recommendation systems, user and content understanding, agentic memory, and generative AI content experiences.
- Translate user and product goals into clear requirements for ranking, retrieval, profile generation, memory, data pipelines, evaluation, and serving systems.
- Own communication with senior MAI leadership on overall strategy and investment.
- Own the ranking objective and how it integrates personalization, balancing engagement, retention, content diversity, safety, and long-term user value.
- Drive how signals become ranking features, including user behavior, content understanding, quality, freshness, and context.
- Design how Edge, Windows, Copilot, and partner surfaces consume the shared ranking stack through clear interfaces, per-surface tuning, and quality bars that scale integration.
- Own the evaluation and experimentation framework: offline metrics that predict online outcomes, A/B test design, guardrail metrics, and proving ranking lift on engagement, retention, and business outcomes.
- Set strategic direction for the personalization platform — user profiles, agentic memory, content understanding, generative recommendation, and serving infrastructure — ensuring compounding capability over time.
- Align VP-level stakeholders across MAI and partner organizations, set prioritization frameworks, and influence resource allocation across multiple teams.
- Partner with privacy, consent, legal, and policy teams to make ranking trustworthy by design.
Requirements
- Bachelor’s Degree AND 15+ years experience in product/service/program management or software development, OR equivalent experience.
- 17+ years experience in product/service/program management or software development, OR equivalent experience.
- 7+ years building consumer-facing recommendation, personalization, search, feed, or content ranking products at scale.
- Track record of defining and landing product strategy at the organizational level, influencing investment decisions and aligning senior leadership behind a technical product vision.
- Experience owning ranking or recommendation objective functions end to end — deciding what models optimize for, not just how they optimize.
- Deep experience with ranking and personalization platform architecture: user profiles, candidate retrieval, ranking models, signal pipelines, feature stores, evaluation systems, and multi-surface integration.
- Experience with generative AI, LLMs, agents, user memory, or retrieval and ranking systems in production consumer products.
- Strong technical fluency across ML systems, ranking architectures, data pipelines, experimentation platforms, and scalable serving infrastructure.
- The combination of consumer product taste, systems rigor, and organizational leadership — caring about both the quality users feel and the strategy that compounds value over time.
- Working knowledge of SQL, Python, experimentation platforms, analytics tools, or data investigation workflows.
Skills
- SQL
- Python
- Experimentation platforms
- Analytics tools
- Data investigation workflows
- Generative AI
- LLMs
- Agents
- User memory
- Retrieval and ranking systems
Location
- U.S.
Work Type
- Full-time
Experience Level
- Principal
- IC6
Education Level
- Bachelor’s Degree
Salary/Compensations
- USD $165,600 - $296,400 per year (U.S. typical base pay)
- USD $220,800 - $331,200 per year (San Francisco Bay area and New York City metropolitan area)
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- Microsoft AI’s content team is building the next generation of content with user understanding, and personalization systems behind experiences across Edge, Windows, Copilot, and partner surfaces that reach hundreds of millions of people.
Equal Opportunity
- 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.