Ready to own the most economically critical surface in conversational commerce?
Alexa for Shopping drove billions in incremental sales last year, converts at 3.5x the rate of traditional keyword search, and was used by millions of customers. Shopping Actions — add to cart, checkout, purchase — is the economic engine that makes it all work.
This is not a “nice to have” feature team. This is core to economics. If customers can’t buy, nothing else matters.
If you want to own the single most critical conversion surface in conversational commerce, keep reading.
Alexa 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.
Key job 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
A day in the life The work you’ll be contributing to is making headlines: • Amazon’s AI assistant for personalized shopping — About Amazon • Amazon brings full visual shopping to Echo Show with Alexa+ — About Amazon • Amazon ditches Rufus AI chatbot in favor of Alexa shopping agent — CNBC • Amazon’s AI shopping tech, now for any retailer — About Amazon / AWS • Amazon offers AI shopping tech to outside retailers — GeekWire
Basic Qualifications
- 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
Preferred Qualifications
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually