About this role

Overview AI assistants are shifting from answer engines to action engines. In commerce, every weak link in product identity, freshness, availability, and data rights quickly becomes a trust problem for customers, merchants, and the AI agents acting on their behalf.AI Experiences (AIX) powers Copilot, Bing, and Edge experiences across consumer and business workflows. The Commerce Platform team builds the shared commerce foundation behind those experiences and behind external AI partners: catalog coverage and quality, Product Graph and enrichment, ranking and evaluation, price truth, and partner-facing APIs. We turn fragmented product and offer data into grounded, high-confidence recommendations and actions.We are looking for a Principal Product Manager to own our catalog APIs and lead the catalog gap roadmap together with a large, experienced engineering and applied science team. You will decide what the catalog exposes, to whom, and at what quality bar, and you will turn coverage and quality gaps into a prioritized plan that measurably improves shopping answers and actions across Copilot, Bing, Edge, and partner agents. This is a senior individual contributor role for a product leader who knows the catalog and product data space and can drive strategy, execution, and adoption independently.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.AI Experiences employees who live within a 50- mile commute of adesignated Microsoft Hub in the U.S. are expected to work from the officeat least four days per week. This expectation is subject to local law and mayvary by jurisdiction. Responsibilities <ul><li>Catalog API strategy: Own the vision, strategy, and roadmap for the catalog APIs (product, offer, and Product Graph) that power Copilot, Bing, Edge, and external AI partners, including schemas, versioning, documentation, and the coverage, freshness, latency, and availability bar each consumer needs.</li><li>Trusted exposure: Define what the catalog exposes and to whom, including data-rights boundaries, merchant controls and exclusions, attribution, and Responsible AI, privacy, and security requirements, in partnership with Legal, Privacy, and Security.</li><li>Partner and developer readiness: Drive onboarding, evaluation criteria, usage and quality telemetry, and the staged path from offline evaluation to limited pilot to production traffic for internal surfaces and external partners.</li><li>Catalog gaps: Partner with engineering and applied science leaders to turn catalog coverage and quality gaps into a prioritized, measurable roadmap across demand coverage, product identity and clustering, attribute and metadata depth, taxonomy, price and availability accuracy, and freshness.</li><li>Supply and ingestion: Own the import and ingestion roadmap with engineering, including merchant feeds and commerce platform connectors, so new supply lands in the catalog complete, accurate, and fresh.</li><li>Metrics and evaluation: Define success metrics and evaluation frameworks for catalog and API quality (for example coverage, accuracy, freshness, defect rate, and downstream answer quality), make sure the telemetry exists, and use the results to drive investment and tradeoff decisions.</li><li>Customer and market insight: Act as the subject matter expert on catalog and product data across divisional boundaries. Synthesize telemetry, evaluations, partner and merchant feedback, and industry trends in product data and agentic commerce into roadmap bets.</li><li>Strategy and alignment: Write the strategy documents, PRDs, and release criteria for catalog APIs and gap programs, review them with senior leaders, and align stakeholders across MAI and partner teams on priorities and tradeoffs.</li><li>Independent execution: Lead a large, senior engineering team as an individual contributor. Prioritize the backlog, land difficult tradeoffs, identify capabilities to deprecate, and lead transitions without disrupting consumers.</li><li>Go-to-market: Partner with business development, product marketing, and partner teams on adoption, retention, and monetization of catalog capabilities.</li><li>Embody our culture and values.</li></ul> Qualifications Required Qualifications:<ul><li>Bachelor's Degree AND 10+ years experience in product/service/program management or software development<ul><li>OR equivalent experience.</li></ul></li></ul> Preferred Qualifications:<ul><li>Bachelor's Degree AND 15+ years experience in product/service/program management or software development<ul><li>OR equivalent experience.</li></ul></li><li>6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).</li><li>8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).</li><li>8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).</li><li>5+ years experience in product catalogs, product data platforms, marketplaces, or commerce search (for example product identity and matching, taxonomy and attribute enrichment, merchant feed ingestion, or price and availability data).</li><li>Experience shipping and scaling externally consumed APIs or data platforms, including schema design, versioning, documentation, service levels, and partner onboarding.</li><li>Experience defining quality metrics and evaluations for data or AI systems (for example coverage, precision and recall, freshness, and factuality) and using them to set engineering priorities.</li><li>Technical fluency to engage deeply with engineering and applied science on data pipelines, ML-based matching and enrichment, and LLM grounding.</li><li>Track record of leading large, senior engineering teams as an individual contributor and influencing stakeholders across organizational boundaries and with external partners.</li></ul> #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: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>