Principal Product Manager - Technical, AI/ML & Accelerated Computing
Seattle, WAFull-timePosted Jul 13, 2026
ApplyAmazon 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.
- 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)
- Bachelor's 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 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.
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.
Basic qualifications
- Bachelor's 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)
Preferred qualifications
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams- Bachelor's 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 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.