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Principal technical product manager, prime video commerce personalization and member experience

London
Amazon
Technical product manager
€100,000 a year
Posted: 8 June
The role

Principal Technical Product Manager, Prime Video Commerce Personalization and Member Experience

Job ID: 10441192 | Amazon Development Centre (London) Limited

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.

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. Personalise offer timing that converts because it is 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 optimisation, and unified customer representations – always in service of a specific customer outcome.
  • Drive organisational alignment. Get multiple teams to optimise shared customer outcomes over local metrics. Win this argument with evidence, not authority.

About the team

PV Commerce Personalisation & 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 optimisation – serve decisions across every Prime Video commerce surface. We are evolving from siloed model optimisation 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, programme management or engineering
  • Experience owning feature delivery and trade‑offs of a product
  • Experience with end‑to‑end product delivery
  • Experience leading engineering discussions around technology decisions and strategy related to a product
  • Experience working effectively with science, data processing, and software engineering teams
  • Experience designing experiments and statistical analysis of results
  • Experience owning and delivering end‑to‑end product strategy for ML/AI‑powered consumer products

Preferred Qualifications

  • Experience driving direction and alignment with cross‑functional teams
  • Experience with subscription or commerce business models and LTV‑based decision making
  • Familiarity with reinforcement learning, multi‑armed bandits, or multi‑objective optimisation applied to product personalization
  • Track record of shipping products that changed customer behaviour 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. 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.
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.

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