Principal Product Manager Technical, Agentic Commerce Experiences

Amazon is building AI-powered shopping experiences that reimagine how hundreds of millions of customers discover and buy products - and we need a Principal PMT to own the vision, strategy, and execution for one of our fastest-growing surfaces.

This role leads a product that sits at the intersection of generative AI and commerce, creating personalized shopping destinations that serve customers arriving from a rapidly expanding set AI-powered channels. You"ll own a surface already driving meaningful revenue at scale, with a clear path to multiply that impact through new formats, international expansion, and tighter integration with Amazon"s broader AI investments.

You"ll define and drive the product roadmap for an AI-native shopping experience with that is early in finding product-market fit. You"ll partner directly with engineering, applied science, and design to ship fast in a team that operates more like a startup than a large company. Monetization strategy is yours to own, working with ads and merchant teams to unlock new revenue streams. This is a senior IC role reporting to a VP with direct executive visibility.

You"ll thrive here if you have strong product intuition for consumer experiences, can make high-judgment calls with incomplete data, and prefer shipping over process. Experience in search, discovery, advertising, or AI-powered consumer products is valuable. Experience navigating ambiguity at the VP+ level is essential

Key job responsibilities

Own the end-to-end product strategy and roadmap for an AI-native shopping surface, from customer problem definition through launch and iteration. Set the product vision and gain alignment across engineering, science, design, and executive leadership.

Make high-judgment prioritization decisions that balance customer experience, revenue growth, and technical feasibility. Translate ambiguous, fast-moving opportunities in generative AI into concrete product bets with measurable outcomes.

Drive monetization strategy in partnership with advertising and merchant teams, ensuring the product delivers both customer value and meaningful business results without compromising the experience.

Define success metrics, run experiments, and use data to make decisions about what to build, scale, or kill. Own the weekly and monthly business reviews that communicate progress to senior leadership.

Partner with applied scientists and engineers to push the boundaries of what AI can do for shopping - influencing model behavior, ranking, and personalization through product requirements rather than just consuming what science delivers.

Represent the product in cross-Amazon forums, building relationships with partner teams and negotiating dependencies across organizations. Operate as the single-threaded owner that executives trust to drive outcomes without close oversight.

A day in the life

You"ll start each day looking at experiment results and customer data to understand what"s working and what isn"t. From there you"re generating ideas, pressure-testing them with your engineering and science leads, and making fast calls on what to try next. Your team ships to production multiple times a week so the feedback loop is tight - you"ll see the impact of your decisions in days, not quarters. You spend time with ads and traffic partners proposing integrations that unlock new demand. And you"re always thinking ahead - watching how AI is changing consumer behavior and asking whether your bets are pointed at the right problems three months from now.

About the team

We"re a small, senior team building AI-powered shopping experiences at Amazon scale. Our mission is to make Amazon the best destination for customers arriving through any channel - creating surfaces that feel personal, relevant, and effortless. We operate like a startup inside Amazon: flat structure, minimal process, high autonomy, and direct executive visibility. Engineers and PMs ship together multiple times a week. We value speed, product intuition, and strong opinions loosely held over lengthy planning cycles. If you prefer making decisions with 70% of the data over waiting for 100%, you"ll fit in here.