Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery

Amazon • Seattle, WA

19h • $179,900 - $243,400 • Onsite

About The Position

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.

Requirements

• 8+ years of technical product or program management experience
• Experience with feature delivery and tradeoffs of a product
• 6+ years of end to end product delivery experience
• Experience owning/driving roadmap strategy and definition
• Experience leading engineering discussions around technology decisions and strategy related to a product
• Bachelor's degree
• Experience managing and deploying ML products
• Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Background in an applied science, engineering, or quantitative field, with a solid understanding of the model lifecycle, data readiness, and model evaluation frameworks.

Nice To Haves

• Experience in project management methodologies, business analysis, or process improvement
• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
• Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
• Experience working with and influencing senior level stakeholders
• Experience in content discovery, e-commerce, search, or recommendation systems
• Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AIs) and their practical trade-offs.

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 clear algorithmic objectives, metrics, and guardrails.
• Define, track, and analyze key metrics to measure recommendation quality, customer outcomes, and business impact; analyze user behavior data to identify opportunities to improve personalization.
• Lead A/B testing strategy and experimentation to validate algorithmic improvements and inform roadmap decisions.
• Partner with stakeholder teams to understand business needs and translate them into technical specifications and prioritized work.
• Communicate complex technical and algorithmic concepts clearly to senior leadership and cross-functional partners.
• Balance trade-offs between model complexity, latency, scalability, and business value to ensure robust, production-ready solutions.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal