Principal Product Manager - Tech, Recommender Systems, Prime Video Personalization & Discovery

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 core algorithms 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 and partnering with experts in data science, ML engineering, and customer experience to ship ML-powered features at scale.

This role is ideal for a PM with deep experience in data and models who anchors every decision in customer value and measurable business outcomes. You will formulate the product and science vision for your algorithm 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.

• Other Locations Available : Culver City, CA; New York, NY, San Francisco, CA; Sunnyvale, CA; Arlington, VA; Austin, TX

Key job responsibilities

Basic Qualifications

Preferred Qualifications

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

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

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 for more information. If the country / region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The Colorado base pay for this position ranges from $179,900 / year up to $243,400 / year. The National base pay for this position ranges from $161,900 / year in our lowest geographic market up to $279,900 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.