Technical product manager in commerce personalization

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.

• 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.

• 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.
• Будет плюсом: 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

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