Principal Product Manager, Personalization Lead

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. 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 Bachelor's Degree AND 15+ 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.