Principal Product Manager Tech, Prime Video Personalization & Discovery

Amazon • Culver City, CA

4d

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 via the Prime Video Store, 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 seeking an experienced Principal Product Manager - Tech to own the
vision, strategy, and roadmap for the core recommendations that power 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 that ship ML-powered features at scale.

This role is ideal for a PM with deep experience in customer experiences powered
by ML models who anchors every decision in customer value and measurable
business outcomes. You will formulate the product strategy for core
recommendations, translate ambiguous customer and business problems into clear
modeling and technical requirements, and guide sound science decisions
throughout the ML lifecycle

Requirements

• 2+ years of end to end product delivery experience
• 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
• Experience technical product management

Nice To Haves

• Experience working directly with Engineers on product enhancements
• Experience in project management methodologies, business analysis, or process improvement
• Experience owning data-centric products
• Working knowledge of machine learning algorithms
• Prior machine learning experience, familiarity with statistical data analytics techniques
• Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AI) and their practical trade-offs
• Fluency in technology alternatives with ability to weigh pros and cons of different technical approaches
• Strong leadership skills with ability to influence cross-functional teams and drive alignment among diverse stakeholders
• Experience working with senior-level stakeholders and communicating complex technical concepts to executive leadership
• Experience in project management methodologies, business analysis, or process improvement

Responsibilities

• Own the strategy and roadmap for personalization products, including recommendation systems and ML 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 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.
• Make and own trade-off decisions between model complexity, latency, scalability, and business value, ensuring robust, production-ready solutions that deliver customer value.

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: Mid Level