AI Principal Product Manager-tech, Amazon Customer Service

Amazon Amazon · Big Tech · Seattle, WA · Project/Program/Product Management--Technical

This role is for an AI Principal Product Manager-Technical at Amazon Customer Service, focusing on defining and owning the end-to-end lifecycle of large-scale AI products. The role involves strategic vision, roadmap definition, cross-functional leadership, and driving invention in areas like Generative AI, ML, NLP, and Agentic AI to transform customer service experiences.

What you'd actually do

  1. 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.
  2. Develop Product Strategy and Communications: You will craft clear, differentiated value propositions tailored for diverse audiences including leadership.
  3. 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.
  4. Build Consensus Across Functions: You will partner effectively with design, engineering, science, and other leaders to align roadmap priorities and influence cross-functional strategies.
  5. Develop and Mentor Technical Product Leaders: You will actively contribute to talent acquisition, participate in hiring and interview processes, and play a role in the career development of other product managers.

Skills

Required

  • 7+ years of end to end product delivery experience
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Bachelor's degree

Nice to have

  • Experience working directly with Engineers on product enhancements
  • Experience in project management methodologies, business analysis, or process improvement
  • Experience leading engineering discussions around technology decisions and strategy related to a product
  • Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams

What the JD emphasized

  • own the end-to-end lifecycle
  • large-scale AI products
  • Agentic AI
  • Multi-Agent Architectures

Other signals

  • Generative AI
  • Machine Learning
  • Natural Language Processing
  • Agentic AI
  • Multi-Agent Architectures