Sr. Product Manager-technical, Amazon Lists

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

Lead a new 0 to 1 initiative at the intersection of AI innovation and customer-facing product, applying generative AI to reimagine how customers save, discover, and rediscover things. Define an AI-first Lists experience and turn customer signals into intelligent, generative experiences across Amazon's surfaces. Partner with engineering, applied science, UX, and PM leaders to drive an ambitious roadmap.

What you'd actually do

  1. Define and champion a bold product vision for a high visibility initiative within Amazon Lists, grounded in deep customer understanding and market insight.
  2. Identify and drive opportunities to apply Gen AI to create differentiated, intelligent customer experiences.
  3. Partner with engineering and UX teams to evaluate technical feasibility, define architecture trade-offs, and ensure scalable, high-quality delivery.
  4. Align stakeholders across Amazon (retail, personalization, Alexa, etc.) without direct authority; earn trust and drive consensus at VP+ levels.
  5. Conduct deep customer research, define success metrics, and relentlessly prioritize based on customer impact.

Skills

Required

  • 5+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience managing technical products or online services
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience with end to end product delivery

Nice to have

  • Experience in building and driving adoption of new tools
  • Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
  • Experience working directly with engineering teams

What the JD emphasized

  • high-ambiguity, high-impact role
  • deep technical fluency in AI and machine learning
  • earn trust and drive consensus across teams without direct authority
  • technical depth to unblock teams

Other signals

  • Generative AI
  • AI-first Lists experience
  • customer signals into intelligent, generative experiences
  • AI-native vision