Amazon.com Services LLC
Project/Program/Product Management--Technical, Product Management - Technical, ecp
PrincipalProductManager-Tech,AmazonSelectionandCatalogSystems
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Product Manager - Tech, Amazon Selection and Catalog Systems at Amazon.com Services LLC. Skills: Product strategy, Catalog management, AI shopping. Define product strategy and roadmap for catalog capabilities. Lead experimentation programs to measure and optimize impact”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree, Experience owning/driving roadmap strategy and definition, Experience with feature delivery and tradeoffs of a product, Experience technical product management
Nice to Have
Experience working directly with Engineers on product enhancements, Experience in project management methodologies, business analysis, or process improvement
What You'll Do.
Define product strategy and roadmap for catalog capabilities
Lead experimentation programs to measure and optimize impact
Drive cross-functional collaboration with AI
Establish frameworks and standards for catalog metadata
Evangelize initiatives across the organization
How You'll Work.
Team & Collaboration
Cross-functional collaboration; AI teams; Science teams; Engineering teams; Retail teams
Communication Scope
Leadership presentations; Strategy documents
Process & Methodology
Roadmap strategy, Feature delivery
Full Job Description
The future of shopping is agentic — AI systems that can discover, reason about, and act on product information on behalf of customers. Our catalog is at the center of this transformation, and we are looking for a visionary Principal Product Manager, Tech to lead the strategy for making the catalog the definitive source of product and brand knowledge that powers next-generation AI shopping experiences. As the Principal Product Manager Tech – Catalog Strategy for AI Shopping Experiences, you will serve as the strategic bridge between the catalog team and the broader ecosystem of AI-powered shopping experiences. You will own the roadmap, experimentation strategy, and long-term vision for how catalog data — spanning product attributes, brand knowledge, usage-based knowledge, and marketplace-level context — enables intelligent, personalized, and trustworthy AI shopping experiences at scale. You will establish clear frameworks for collaboration across teams, defining ownership boundaries, shared goals, and delivery mechanisms that enable seamless integration between catalog capabilities and AI-powered customer experiences. This is a high-visibility, high-impact individual contributor role that requires a rare combination of deep catalog expertise, AI/ML product intuition, and executive-level influence. You will define how catalog metadata, data, and knowledge — at the item, product cohort, brand voice, company voice, usage, and marketplace level — fuels the ability of AI systems to deliver accurate, personalized, and trustworthy shopping experiences for hundreds of millions of customers worldwide. Key job responsibilities - Define product strategy and roadmap for catalog capabilities that power AI shopping experiences across worldwide marketplaces - Lead experimentation programs to measure and optimize the impact of catalog improvements on AI search quality and customer outcomes - Drive cross-functional collaboration with AI, science, engineering, and retail teams to alig
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