Amazon.com LLC

Technology

PrincipalProductManager-Tech,PersonalizationandMonetization,PrimeVideoPersonalization&Discovery

$179–243k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery at Amazon.com LLC. Skills: Product strategy, Machine learning, Personalization, Monetization. Own roadmap and strategy. Collaborate with scientists and engineers”

What You'll Achieve.

Deliver broadly adopted technology products; Drive high level of focus; Drive high level of excellence; Deliver at high scale; Anchor decisions in customer value; Anchor decisions in business outcomes; Ensure intuitive customer experiences; Ensure high-quality customer experiences

Industry & Context.

Technology
Problems you'll solve

Translate ambiguous problems; Identify opportunities

What They're Looking For.

Must Have

8+ years technical product management, Experience feature delivery, 6+ years end to end product delivery, Experience owning roadmap strategy, Experience leading engineering discussions, Bachelor's degree, Experience managing ML products, Experience leading and influencing, Machine Learning fundamentals, Large Language Model fundamentals, Architecture fundamentals, Training/inference lifecycles, Optimization of model execution, Background quantitative field, Understanding model lifecycle, Understanding data readiness, Understanding model evaluation frameworks

Nice to Have

Experience project management methodologies, Experience business analysis, Experience process improvement, Bachelor's quantitative/technical field, Experience leader prioritize well, Experience communicate clearly, Experience influence cross-functional teams, Experience working with senior stakeholders, Experience content discovery, Experience e-commerce, Experience search, Experience recommendation systems, Knowledge modern ML techniques, Knowledge practical trade-offs

What You'll Do.

Own roadmap and strategy

Collaborate with scientists and engineers

Translate business problems

Define and track key metrics

Analyze user behavior data

Lead A/B testing strategy

Validate algorithmic improvements

Inform roadmap decisions

Partner with stakeholder teams

Translate business needs

Communicate technical concepts

Ensure production-ready solutions

How You'll Work.

Team & Collaboration

Cross-functional partners; Cross-functional teams; Senior leadership

Communication Scope

Communicate clearly; Communicate compellingly; Communicate complex concepts

Process & Methodology

Roadmap strategy, Roadmap definition, Prioritize well

Full Job Description

Prime Video is looking for an experienced Principal Product Manager to own the vision, strategy, and roadmap for the Monetization Strategy that is a key component of our Personalization and Discovery experiences. You will operate at the intersection of machine learning, customer experience, and business strategy, leading fast-paced, high-impact projects and partnering with experts in data science, ML engineering, and customer experience to ship ML-powered features at scale. * The ideal candidate would have demonstrably thrived in a high growth environment and delivered broadly adopted technology products or services * They would be a strong leader who can prioritize well, communicate clearly and compellingly, and understand how to drive a high level of focus and excellence * They would have keen business sense together with a deep understanding of technology * They would have experience defining products, mapping requirements to engineering functional specifications, leading large cross functional and cross organizational efforts, and delivering at high scale This role is ideal for a PM with deep experience in the intersection of Advertising and Personalization, who anchors every decision in customer value and measurable business outcomes. You will formulate the product and science vision for your domain, translate ambiguous customer and business problems into clear algorithmic objectives and technical requirements, and guide sound science decisions throughout the ML lifecycle—from problem framing and data strategy through experimentation, deployment, and ongoing optimization. Throughout, you’ll ensure that complex algorithmic capabilities become intuitive, high-quality customer experiences. Key job responsibilities * Own the roadmap and strategy for personalization products, including recommendation systems and ML/science-based models. * Collaborate with applied scientists and ML engineers to translate business problems into model requirements and convert them into

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