Principal PMT - Personalization ML Platform, Prime Video Personalization & Discovery

Prime Video & Amazon MGM Studios; New York (NY); On-site; USD 198,000 - 268,000; Full time

Job summary

Amazon.com Services LLC in New York is seeking a Principal Product Manager Technical to drive the vision, strategy, and execution of the ML platform and infrastructure powering personalization, discovery, and content intelligence at global scale.

The role owns the strategy and roadmap for data, ML, and measurement platforms, enabling teams to build, experiment, and productionize machine learning solutions while improving customer engagement metrics across Prime Video.

Qualifications

• 7+ years of end to end product delivery experience.
• 4+ years of technical product or program management experience.
• Experience owning/driving roadmap strategy and definition.
• 3+ years of Data & AI related technologies including AI/ML and analytics.
• Deep understanding of MLOps, model training, and data pipelines.

Responsibilities

• Define and drive the multi-year vision and roadmap for ML platform and infrastructure.
• Develop and own data platform strategy with trusted, model-ready data foundations.
• Build end-to-end ML tooling and pipelines for experimentation and productionize models.
• Support large-scale model training, real-time inference, and compute optimization.
• Own the feature store strategy for online and offline serving.
• Deliver self-service tools and reusable components to improve productivity and cost efficiency.
• Enhance the measurement platform to monitor model performance and outcomes.
• Influence senior leadership and align on platform strategy and investments.
• Drive adoption of platform capabilities across teams with intuitive, reliable solutions.

Skills

End-to-end product delivery

Roadmap strategy

Data & AI

MLOps

Leadership

Education

Bachelor's degree

Job description

Description

Prime Video is seeking a Principal Product Manager Technical to drive the vision, strategy, and execution 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 strategy and roadmap for foundational platforms across Data, ML, and Measurement, 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 enabling 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 multi‑year vision and roadmap for ML platform and infrastructure, articulating how platform decisions directly translate to customer‑facing personalization outcomes across discovery, content intelligence, and emerging GenAI experiences
• Develop and own 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
• Define and 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
• Enhance 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
• Influence senior leadership and cross‑functional stakeholders to align on platform strategy, investment 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!

Basic Qualifications

• 7+ years of end to end product delivery experience
• 4+ 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
• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• Deep understanding of MLOps, model training, evaluation metrics and data pipelines.

Preferred Qualifications

• Experience in project management methodologies, business analysis, or process improvement
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• Familiarity with recommendation systems is a bonus
• Fluency in technology alternatives with ability to weigh pros and cons of different technical approaches

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 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, NY, New York - 197,900.00 - 267,800.00 USD annually

USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10451506