Sr. Product Manager - Technical, Alexa for Shopping

AmazonSeattle, WA
$151,200 - $204,600Onsite

About The Position

Alexa for Shopping is redefining how hundreds of millions of customers purchase products through conversational and multimodal experiences. The Shopping Actions team owns the core transactional layer — enabling customers to add to cart, checkout, and complete purchases seamlessly across Alexa-enabled surfaces (voice, screen, app, web). We are looking for a tenured, technically strong PMT who is an AI-native builder. You will own the end-to-end Shopping Actions experience, driving product vision and execution while partnering across multiple engineering and science organizations. You’ll leverage AI/ML tooling in your own workflows to move faster, analyze deeper, and ship products that delight customers leveraging conversational shopping AI. You’ll be joining a team with tenured Amazonian leadership — leaders who are technically deep, operationally excellent, and have a track record of growing their people. The leadership chain from your manager through the VP is composed of builders who understand the technology, can whiteboard architecture with you, and are invested in your career trajectory.

Requirements

  • 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 with end to end product delivery
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
  • Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products

Nice To Haves

  • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
  • Experience in building and driving adoption of new tools
  • Experience developing, deploying and managing AI products at scale

Responsibilities

  • Own product vision and roadmap for Shopping Actions (Add to Cart, Checkout, Purchase Completion) across voice, visual, and multimodal surfaces
  • Define, instrument, and self-serve metrics — build your own dashboards, write queries, and analyze data to drive decisions without waiting on analytics teams
  • Write crisp product requirements (PRFAQs, BRDs, tech specs) that unambiguously translate customer problems into engineering-ready solutions
  • Operate across organizational boundaries — influence and align engineering and science teams spanning multiple L10 organizations; earn trust and drive decisions without direct authority
  • Leverage AI as a force multiplier — use generative AI, automation, and modern tooling to accelerate research, analysis, spec writing, and operational workflows
  • Drive technical depth — go deep on API design, latency trade-offs, and system architecture to earn credibility with engineering partners
  • Own experimentation and iteration — design A/B tests, define success criteria, and rapidly iterate based on quantitative outcomes
  • Communicate strategy and progress to senior leadership through WBRs, MBRs, OP cycles, and ad-hoc reviews

Benefits

  • sign-on payments
  • restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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