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

Requirements

• 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 working effectively with science, data processing, and software engineering teams
• Experience in designing experiments and statistical analysis of results
• Experience owning and delivering end-to-end product strategy for ML/AI-powered consumer products
• (Desirable) Experience driving direction and alignment with cross-functional teams
• (Desirable) Experience with subscription or commerce business models and LTV-based decision making
• (Desirable) Familiarity with reinforcement learning, multi-armed bandits, or multi-objective optimization applied to product personalization
• (Desirable) Track record of shipping products that changed customer behavior at scale (100M+ users)
• (Desirable) Experience with experimentation design, causal inference, and long-term holdout measurement

• 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
• 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