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

• Key job 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.

Basic Qualifications

• 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

Preferred Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Culver City - 179,900.00 - 243,400.00 USD annually
USA, CA, Sunnyvale - 206,900.00 - 279,900.00 USD annually
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually