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

About the role

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.

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.

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

Qualifications

• 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
• Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AIs) and their practical trade-offs

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.