Principal Product Manager, Personalization & AIML at Microsoft | United States | Rezi

Principal Product Manager, Personalization & AIML at Microsoft

Principal Product Manager, Personalization & AIML

Microsoft · United States

5 days ago

Principal Product Manager, Personalization & AIML

Microsoft · United States

6 days ago
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About the Role

We are hiring a Principal Product Manager to help build the next generation of content platform for Microsoft AI’s Content team. This role will focus on AI-native personalization systems that understand users over time, recommend high-quality content and experiences, and generate personalized content to engage millions of users across Microsoft surfaces. This is an opportunity to define a new personalization category at the intersection of AI, recommendations, user memory, content intelligence, and generative experiences.

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, content understanding, data pipelines, evaluation, and serving systems.
  • Turn advances in AI, ML, LLMs, ranking, retrieval, and generative recommendation systems into practical product capabilities that improve user engagement, satisfaction, trust, safety, and business impact.
  • Own product requirements and platform interfaces for recommendation systems, user profiles, memory, personalization signals, AI content generation, human and AI evaluation, and downstream product integration and consumption.
  • Partner with engineering, research, data science, design, legal, privacy, and policy teams to move capabilities from research prototypes into scalable personalization systems and user-facing experiences.
  • Define success across offline evaluation and online product metrics, balancing relevance, usefulness, freshness, latency, safety, reliability, cost, and long-term user value.
  • Build closed learning loops that turn product usage, explicit feedback, content signals, and model outcomes into datasets, evaluations, experiments, training priorities, and launch decisions.
  • Use experimentation, telemetry, user research, and model evaluation to identify opportunities, prioritize investments, and validate product impact.
  • Work with infrastructure and platform teams to balance model capability, latency, serving cost, data freshness, privacy constraints, and system reliability.
  • Create clear product artifacts, decision frameworks, and roadmap documents that align teams across ambiguous and cross-functional workstreams.
  • Influence senior stakeholders and partner teams by explaining complex AI, ranking, and platform tradeoffs in clear business and user terms.

Requirements

  • Bachelor's Degree AND 10+ years experience in product/program management or software development OR equivalent experience.
  • Bachelor's Degree AND 15+ years experience in product/program management or software development OR equivalent experience.
  • Experience building or managing AI, ML, recommendation, personalization, search, content understanding, user understanding, or data platform products.
  • Experience using data, experimentation, user feedback, and product metrics to guide roadmap decisions and measure product impact.
  • Experience working with cross-functional teams, including engineering, data science, research, design, privacy, policy, or go-to-market teams.
  • 5+ years’ experience building consumer-facing AI, recommendation, personalization, search, feed, marketplace, content, or platform products.
  • Experience with generative AI, LLMs, agents, user memory, retrieval systems, ranking systems, or AI-powered content generation.
  • Experience defining product architecture for personalization platforms, including user profiles, signal pipelines, model interfaces, evaluation systems, serving systems, and downstream product integrations.
  • Experience launching 0-to-1 products or platform capabilities in ambiguous, fast-moving environments.
  • Experience improving product metrics such as engagement, retention, relevance, satisfaction, revenue, content quality, or recommendation performance.
  • Solid technical fluency with AI/ML systems, data pipelines, APIs, experimentation, telemetry, model evaluation, and scalable serving infrastructure.
  • Working knowledge of SQL, Python, experimentation platforms, analytics tools, or data investigation workflows.
  • Ability to combine consumer product taste with systems rigor, caring about both the quality users feel and the infrastructure that makes personalization repeatable at scale.
  • Ability to write clear product documents, align multiple teams, and drive decisions across technical and business stakeholders.
  • Solid product judgment, systems thinking, user empathy, and ability to operate with high agency in complex product areas.

Skills

  • AI
  • ML
  • LLMs
  • Recommendation Systems
  • Personalization
  • Generative AI
  • User Understanding
  • Content Intelligence
  • Generative Experiences
  • Ranking
  • Retrieval
  • Agentic User Understanding
  • User Memory
  • Content Generation
  • Closed Learning Loops
  • Evaluation
  • Experimentation
  • Platform Infrastructure
  • SQL
  • Python

Location

  • U.S.

Work Type

  • Hybrid

Experience Level

  • Principal
  • 10+ years
  • 15+ years
  • 5+ years

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’s mission is to empower every person and every organization on the planet to achieve more.
  • As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
  • Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.