Amazon.com Services LLC

Project/Program/Product Management--Technical, Product Management - Technical, customer service

AIPrincipalProductManager-Technical

$179–243k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“AI Principal Product Manager - Technical at Amazon.com Services LLC. Skills: Applied AI, Product lifecycle, Technical acumen. Define strategic vision. Communicate strategic vision”

What You'll Achieve.

Customer outcomes; Product reliability; Meaningful impact; Improve customer outcomes

Industry & Context.

Project/Program/Product Management Technical, Product Management Technical, customer service
Problems you'll solve

Problem-solving

What They're Looking For.

Must Have

Bachelor's degree, 7+ years product delivery, Own/drive roadmap strategy, Feature delivery experience, Tradeoff analysis experience

Nice to Have

Work with Engineers, Project management experience, Business analysis experience, Process improvement experience, Lead engineering discussions, Prioritize well, Communicate clearly, Influence cross-functional teams

What You'll Do.

Define strategic vision

Communicate strategic vision

Drive cross-functional execution

Maintain accountability for outcomes

Maintain accountability for reliability

Craft value propositions

Identify where invention needed

Address gaps and opportunities

Partner with engineering

Align roadmap priorities

Influence cross-functional strategies

Contribute to talent acquisition

Participate in hiring

Participate in interviews

Develop other product managers

Own complex product initiatives

Ensure alignment with customer needs

Ensure alignment with business objectives

Translate requirements into solutions

Define product direction

Evaluate technical approaches

Focus on customer impact

Review customer feedback

Review performance data

Identify product opportunities

Identify product risks

Operate like startup leader

How You'll Work.

Team & Collaboration

Cross-functional teams; Applied scientists; Data scientists; Economists; Software engineers; Data engineers; Technical product managers; Design; Engineering; Science leaders; Business leaders

Communication Scope

Communicate clearly; Communicate effectively

Process & Methodology

Roadmap planning

Full Job Description

Ready to shape the trajectory of applied AI and build breakthrough solutions that redefine what's possible for customers? We are seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform how millions of customers experience Amazon. This role combines deep technical acumen with business strategy to drive products that don't just meet requirements, they redefine what's possible in customer service and experience at global scale. The Data Intelligence team is a new function within Amazon Customer Service. a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities. We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and obsess over getting customer experience right, because our work succeeds only when it creates meaningful impact and improves outcomes for customers. Key job responsibilities - Own the Complete Product Lifecycle: You will define and communicate strategic vision and long-term roadmaps, drive cross-functional teams toward successful execution, and maintain accountability for customer outcomes and product reliability. - Develop Product Strategy and Communications: You will craft clear, differentiated value propositions tailored for diverse audiences including leadership. - Navigate Ambiguity and Drive Invention: You will identify where invention is needed, take smart risks, distinguish between one-way and two-way doors, and ensure gaps and opportunities within or between regions, architectures, and business organizations are identified and addressed. - Build Consensus Across Functions: You will partner effectively

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