Christian Bienia
Principal Technical Product Manager @Amazon
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WORK HISTORY
Principal Technical Product Manager @Amazon
NY, US
Product leader responsible for Amazon\'s product knowledge graph in the product catalog organization, overseeing multiple large product areas. The product knowledge graph is the fact base that powers Amazon\'s e-commerce platform by allowing us to connect sellers with buyers- Set strategy and vision across multiple large product areas. Guide and coordinate execution across teams from several organizations. Align and influence stakeholders across organizations and functions, connecting technical and business requirements- Delivered comprehensive product spec tables on Amazon\'s product detail page from conception to launch in 22 countries covering content acquisition, metadata improvement and UX/UI development, resulting in $xB revenue and contribution profit- Led effort to automatically create customer-facing product summaries using Generative AI. Developed vision, roadmap, and requirements. Managed tactical execution to prove financial impact before handing the work over to another team. Continued to guide execution to scale up internationally- Conceived and proposed extensions to Amazon\'s product catalog to enable contributions in any data format via automated mechanisms to structure and reconcile product data. The work unblocked Amazon\'s Generative AI strategy for the e-commerce product catalog- Led Amazon\'s effort to create personalized product descriptions using Generative AI. Guided execution across multiple organizations to develop proof-of-concepts and proved feasibility and impact- Hired, managed, and developed a team of five technical product managers. Mentored several other product managers outside of organization.
EDUCATION
University of Mannheim
Diplom, Computer Engineering
Princeton University
Ph.D., Computer Science
SKILLS
ABOUT CHRISTIAN BIENIA
Chris is a product leader with proven track records in engineering (Ph.D. in CS from Princeton University, Google) and business (McKinsey). His expertise is in data platforms and the creation of new products based on artificial intelligence (Amazon, IPsoft, GLG). Chris enjoys working in collaborative environments on challenging problems that require a combination of business and technology expertise.
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