Principal Product Manager Technical, AIML & Accelerated Computing

Amazon


Job Location:

Seattle, WA - USA

Monthly Salary: Not Disclosed
Posted on: 17 hours ago
Vacancies: 1 Vacancy

Job Summary

Amazon EC2 (Elastic Compute Cloud) is looking for a dynamic and deeply technical product leader to define and build the future of AI/ML computing infrastructure. Customers around the world from frontier AI labs training the largest foundation models to enterprises deploying inference at scale rely on Amazon EC2 accelerated instances to deliver breakthrough performance for their most demanding machine learning workloads.

Within EC2 you will lead product management for our **accelerated computing portfolio** including GPU-based instances and AWS Trainium-powered instances. You will work alongside world-class silicon systems and software engineers to bring next-generation AI/ML compute to market at unprecedented scale.

We are seeking a **Principal Product Manager - Technical** who will own and drive the end-to-end product strategy for EC2 AI/ML instance types. You will be responsible for **full lifecycle product management** of accelerated compute solutions purpose-built for:

- Large-scale model training

- High-performance inference

- Generative AI workloads


This is a unique opportunity to innovate across the full AI/ML compute stack from customer-facing instance capabilities and pricing models down to the core infrastructure including **AWS custom AI chips (Trainium) NVIDIA GPU integrations and the Nitro System**.

Key job responsibilities
- Lead the definition and execution of the product strategy for EC2 accelerated computing instances including GPU and Trainium-based solutions for AI/ML workloads.

- Define and gather the customer inputs to make high-quality product and roadmap decisions.

- Work with leaders across AWS Amazon and our partners to deliver innovation all while working backwards from customer needs.

- Define product requirements priorities methods for measurement and track their execution and success.

- Communicate with senior management on project status strategy risks and issues.

- Work closely with multiple engineering teams and designers to deliver results to customer.

About the team
The EC2 Accelerated Computing product team has product leaders that own a portfolio of 5 products and services. We have a broad mix of experience levels and tenures and we foster an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign initiatives and product areas based on what will help each team member develop into a better-rounded product manager and enable them to take on more ambiguous ideas in the future.

- Bachelors degree
- 7 years of technical product or program management experience
- Experience with feature delivery and tradeoffs of a product
- Experience delivering large-scale SaaS PaaS or IaaS products where you are responsible for the full product lifecycle from concept through GTM (go to market)

- Experience as a strong leader who can prioritize well communicate clearly and effectively influence across cross-functional teams
- Bachelors degree in computer science or electrical engineering
- Experience contributing to engineering discussions around technology decisions and strategy related to a product

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 youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Staff IC

Amazon EC2 (Elastic Compute Cloud) is looking for a dynamic and deeply technical product leader to define and build the future of AI/ML computing infrastructure. Customers around the world from frontier AI labs training the largest foundation models to enterprises deploying inference at scale rely...

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