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

Amazon • Seattle, WA

20h

About The Position

Prime Video is a first-stop entertainment destination offering customers a vast
collection of premium programming in one app available across thousands of
devices. Prime members can customize their viewing experience and find their
favorite movies, series, documentaries, and live sports – including Amazon MGM
Studios-produced series and movies; licensed fan favorites; and programming from
Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.
All customers, regardless of whether they have a Prime membership or not, can
rent or buy titles, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's
technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product,
user experience, design, and technology required to deliver state-of-the-art
experiences for our customers. You’ll get to work on projects that are
fast-paced, challenging, and varied. You’ll also be able to experiment with new
possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to
make Prime Video even better for our customers. With global opportunities for
talented technologists, you can decide where a career Prime Video Tech takes
you!

We are 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.

Qualifications:
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
• Bachelor's degree
• Experience with feature delivery and tradeoffs of a product
• Experience owning/driving roadmap strategy and definition
• Experience leading engineering discussions around technology decisions and strategy related to a product
• 6+ years of end to end product delivery experience
• Experience managing consumer-facing products where ML directly impacts user experience and engagement.
• Experience leading science and technology discussions and influencing strategy for ML- or science-driven products.
• 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 content discovery, e-commerce, search, or recommendation systems
• Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AIs) and their practical trade-offs.
• Strong leadership skills with ability to influence cross-functional teams
• Experience working with senior-level stakeholders
• 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 developing consumer-impacting applications of machine learning or artificial intelligence

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

What This Job Offers

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