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Director Product Management-Technical, Amazon Customer Service
Amazon
📍
Seattle, United States
Location
Seattle
Posted
June 20, 2026
Commute
Local Area
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Job Description
Description
We are seeking a Director Product Management—Technical, Data & Context Intelligence to redefine what's possible for customers and build breakthrough solutions that deliver measurable business and customer impact.
This is a highly visible role working directly with senior leaders to define and deliver artificial intelligence (AI)-native products that improve and reinvent customer experiences globally—making them more delightful and helpful for millions of customers. They will lead cross-functional teams bringing deep experience building products for global customers.
You will join the Data Intelligence team, a new function within Amazon Customer Service—a global organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers advancing AI capabilities. We build data solutions and contextual intelligence using Agentic AI, Generative AI, Natural Language Processing, Ontology, Reinforcement ...
We are seeking a Director Product Management—Technical, Data & Context Intelligence to redefine what's possible for customers and build breakthrough solutions that deliver measurable business and customer impact.
This is a highly visible role working directly with senior leaders to define and deliver artificial intelligence (AI)-native products that improve and reinvent customer experiences globally—making them more delightful and helpful for millions of customers. They will lead cross-functional teams bringing deep experience building products for global customers.
You will join the Data Intelligence team, a new function within Amazon Customer Service—a global organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers advancing AI capabilities. We build data solutions and contextual intelligence using Agentic AI, Generative AI, Natural Language Processing, Ontology, Reinforcement ...