Opportunities in London, United Kingdom

Full Job Description

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies — all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business — available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

Hundreds of millions of customers open Prime Video every week. They trust us to help them find something great to watch. Increasingly, they expect us to help them discover title offers, channel and bundle subscriptions that match their interests.

Today, we break that trust in small but compounding ways. A customer declines an offer and sees it again minutes later. A new subscriber gets upsells before finding a show they love. A loyal viewer showing signs of leaving receives a generic message that ignores everything they have ever watched.

We are hiring a Principal PMT to own Commerce Personalization for Prime Video. You will build the intelligence that makes every commerce interaction feel like it comes from a service that actually knows you.

This is a build-and-scale role. You will define what "right offer, right moment, right customer" means at Prime Video scale. You will ship systems that remember what customers have told us, respect their journey stage, and earn the right to make a recommendation. You will prove — through measurable customer outcomes — that respecting customer drives better business results than pressuring them.

Key job responsibilities Own the customer problem end-to-end. Define the vision, strategy, and roadmap for Commerce Personalization across all Prime Video surfaces — homepage, detail pages, checkout, notifications, and partner storefronts.

Eliminate the contradictions customers experience today. Build coordinated intelligence, so a declined offer stays declined, at-risk customers get content before commerce, and new subscribers aren't treated like conversion targets. Define how we measure success and how it impacts our long-term success.

Crack problems others haven't, drive adoption at scale enabling Partner content discovery for the growing number of channels across 30+ countries. Personalized offer timing that converts because it's welcome

Ship fast, prove impact continuously. Start with the most painful customer contradiction and fix it. Every phase delivers measurable improvement — reduced repetition, better timing, higher engagement among at-risk segments. Build conviction through results.

Work backward from customers to technology. Partner with Applied Science and ML Engineering on reinforcement learning, multi-objective optimization, and unified customer representations — always in service of a specific customer outcome.

Drive organizational alignment. Get multiple teams to optimize shared customer outcomes over local metrics. Win this argument with evidence, not authority.

About the team PV Commerce Personalization & Member Experience sits at the intersection of Prime Video's content experience and its commerce engine. We own the models, systems, and product experiences that determine which customers see which offers, when, and how. Our production models — including offer propensity, churn prediction, subscription ranking, and cross-offer optimization — serve decisions across every Prime Video commerce surface. We are evolving from siloed model optimization to a unified system that coordinates across the full customer journey. We are a product development team that partners closely with cross-functional teams across Prime Video to deliver customer and partner value.

Basic Qualifications

• Experience owning/driving roadmap strategy and definition
• Experience in technical product management, program management or engineering
• Experience owning feature delivery and tradeoffs of a product
• Experience with end to end product delivery
• Experience leading engineering discussions around technology decisions and strategy related to a product
• Experience owning and delivering end-to-end product strategy for ML/AI-powered consumer products.

Preferred Qualifications

• Experience with subscription or commerce business models and LTV-based decision making.
• Familiarity with reinforcement learning, multi-armed bandits, or multi-objective optimization applied to product personalization.
• Track record of shipping products that changed customer behavior at scale (100M+ users).
• Experience with experimentation design, causal inference, and long-term holdout measurement.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Experience owning/driving roadmap strategy and definition Experience in technical product management, program management or engineering Experience owning feature delivery and tradeoffs of a product Experience with end to end product delivery Experience leading engineering discussions around technology decisions and strategy related to a product Experience owning and delivering end-to-end product strategy for ML/AI-powered consumer products.