Job description

Overview Microsoft Commerce is building the platform layer that powers shopping across Copilot, Bing, Edge, and partner surfaces. Personalization is the layer that makes those experiences feel like they know the user: the right products, the right guidance, at the right moment, grounded in the user’s intent, history, and preferences. Microsoft Commerce is hiring a Principal Product Manager to own the personalization layer for Commerce — the user shopping profile, memory and signals, and the personalization models that shape ranking, recommendations, and guidance across every Commerce surface. As a Principal Product Manager , you will define and drive the personalization strategy for Commerce: what we learn about a shopper (explicitly and implicitly), how that understanding is represented in a durable shopping profile, how it integrates with MAI’s broader memory and personalization systems, and how it feeds the ranking, recommendation, and response systems that users experience. The role sits inside the Commerce Platform team and consumes the platform’s catalog, relevance, and ranking capabilities — turning a shared technical foundation into experiences that feel personal at Microsoft scale. You will utilize your experience building personalization, recommendation, memory, or signals-driven product systems, to set long-term strategy, define the data and model requirements, run rigorous experimentation, and partner across product, engineering, data science, and privacy teams. 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.   Responsibilities • Define the long-term product vision and roadmap for Commerce personalization — the shopping profile, memory/signals, and personalization models. • Establish how Commerce personalization integrates with the broader MAI memory and personalization systems, contributing signals and consuming shared user understanding. • Partner with engineering and data science to translate personalization strategy into data requirements, model plans, features, and measurable outcomes. • Define how the personalization layer is consumed by the Platform’s ranking/relevance systems and by Copilot, Bing, and Edge surface teams — with clear interfaces and quality bars. • Drive improvements in relevance, recommendation quality, proactive-pick precision, and the freshness and coverage of the user shopping profile. • Own the experimentation framework: design tests, define success metrics, and prove personalization lift on customer and business outcomes. • Partner with privacy, consent, and legal teams to ensure personalization is transparent, controllable, and trusted by users. • Create clear product requirements, prioritization frameworks, and success metrics for personalization investments. • Influence senior stakeholders across Commerce, MAI, and Copilot to align personalization investments with broader product and monetization priorities. • Build and lead a high-performing PM team over time, including direct PM ownership and dotted-line coordination with distributed teams. Qualifications Required Qualifications: • Bachelor's Degree AND 10+ years experience in product management including e xperience in personalization, recommendation systems, memory/signals, ranking, search, or data/ML-driven product areas • OR equivalent experience. Preferred Qualifications: • Bachelor's Degree AND 15+ years experience in product management including e xperience in personalization, recommendation systems, memory/signals, ranking, search, or data/ML-driven product areas • OR equivalent experience. • Proven experience building and scaling personalization, recommendation, or AI-driven products for large user bases. • Strong understanding of personalization systems, including signals, models, experimentation, and performance measurement. • Experience partnering with engineering and data science teams to deliver complex, data-driven product solutions. • Demonstrated ability to drive product strategy and execution, connecting investments to customer engagement, relevance, retention, and business outcomes. • Effective leadership, communication, and stakeholder management skills, with experience influencing executives and leading cross-functional or matrixed teams. #MicrosoftAI Product Management IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 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.

Requirements

Must-haves

Define the long-term product vision and roadmap for Commerce personalization — the shopping profile, memory/signals, and personalization models.
Establish how Commerce personalization integrates with the broader MAI memory and personalization systems, contributing signals and consuming shared user understanding.
Partner with engineering and data science to translate personalization strategy into data requirements, model plans, features, and measurable outcomes.
Define how the personalization layer is consumed by the Platform’s ranking/relevance systems and by Copilot, Bing, and Edge surface teams — with clear interfaces and quality bars.
Drive improvements in relevance, recommendation quality, proactive-pick precision, and the freshness and coverage of the user shopping profile.
Own the experimentation framework: design tests, define success metrics, and prove personalization lift on customer and business outcomes.
Partner with privacy, consent, and legal teams to ensure personalization is transparent, controllable, and trusted by users.
Create clear product requirements, prioritization frameworks, and success metrics for personalization investments.
Influence senior stakeholders across Commerce, MAI, and Copilot to align personalization investments with broader product and monetization priorities.
Build and lead a high-performing PM team over time, including direct PM ownership and dotted-line coordination with distributed teams.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Proven experience building and scaling personalization, recommendation, or AI-driven products for large user bases.
Strong understanding of personalization systems, including signals, models, experimentation, and performance measurement.
Experience partnering with engineering and data science teams to deliver complex, data-driven product solutions.
Demonstrated ability to drive product strategy and execution, connecting investments to customer engagement, relevance, retention, and business outcomes.
Effective leadership, communication, and stakeholder management skills, with experience influencing executives and leading cross-functional or matrixed teams.
#MicrosoftAI
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

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