Principal Product Manager, Personalization Lead

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

• Bachelor's Degree AND 10+ years experience in product management including experience 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