Job description

Prime Video is seeking a Senior Product Manager, Technical to drive the strategy and execution for a key area of our Machine Learning platform and infrastructure, powering personalization, discovery, and customer and content intelligence at global scale. In this role, you will own the roadmap for a core set of capabilities across our Data, ML, and Measurement platforms, enabling teams to rapidly build, experiment, and productionize machine learning solutions. Your mission is to enable ML builders to move from idea to production faster by removing bottlenecks across the ML lifecycle from data ingestion and feature engineering to model training, deployment, and experimentation so teams can iterate faster while providing robust measurement capabilities that shorten iteration cycles. You will own the connection between platform capabilities and end-customer experience improvements, defining how infrastructure investments enable Product teams to drive measurable gains in personalization quality, content discovery, and customer engagement metrics. You will operate in highly complex domains including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, and partner closely with engineering and science leaders to influence architecture, drive adoption, and deliver measurable business outcomes. Key job responsibilities * Define and drive the roadmap for your area of the ML platform and infrastructure, articulating how platform decisions directly translate to customer-facing personalization outcomes across discovery, content intelligence, and emerging GenAI experiences * Contribute to the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations * Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production * Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale * Help evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments * Own the developer experience for ML builders by delivering self-service tools, reusable components, and standardized workflows that increase productivity, reduce operational overhead, and improve cost efficiency, scalability, and availability * Contribute to the measurement platform to monitor model performance in production, track input and output metric alignment, and provide clear visibility into how platform capabilities contribute to customer-facing outcomes * Partner with cross-functional stakeholders and leadership to align on priorities and trade-offs * Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows About the team 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! - 2+ years of end to end product delivery experience - 5+ years of technical product or program management experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools 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 amazon.jobs 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 amazon.jobs . USA, CA, SUNNYVALE - 173,900.00 - 235,200.00 USD annually USA, WA, SEATTLE - 151,200.00 - 204,600.00 USD annually

Requirements

Must-haves

In this role, you will own the roadmap for a core set of capabilities across our Data, ML, and Measurement platforms, enabling teams to rapidly build, experiment, and productionize machine learning solutions.
Key job responsibilities
Contribute to the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations
Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production
Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale
Help evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments
Partner with cross-functional stakeholders and leadership to align on priorities and trade-offs
Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows
About the team
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
2+ years of end to end product delivery experience
5+ years of technical product or program management experience
Bachelor's degree
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience managing technical products or online services
Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
Experience in building and driving adoption of new tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, CA, SUNNYVALE - 173,900.00 - 235,200.00 USD annually
USA, WA, SEATTLE - 151,200.00 - 204,600.00 USD annually

Nice-to-haves

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Application prep

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Keywords to mirror

machine learningmlllm

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave