Senior Product Manager - Tech, AI/ML & Accelerated Computing

Amazon is hiring a Senior Product Manager - Tech, AI/ML & Accelerated Computing in Seattle, United States. It pays $152k-$206k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
The posting mentions AWS Trainium, Nvidia GPUs and Amazon EC2 among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Leads product strategy and lifecycle management for Amazon EC2 AI/ML accelerated computing instances, including GPUs and Trainium chips.

AWS TrainiumNvidia GPUsAmazon EC2Nitro System

product-managementai-infrastructuremachine-learningaccelerated-computingstrategic-planning

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 **Senior 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 in computer science, engineering, math, finance, or economics
- Experience translating customer needs into innovative and detailed product requirements for customer-facing online and mobile products/services
- Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience working as a Technical Product Manager

Preferred qualifications

- Knowledge of deep learning, machine learning and statistics
- MBA
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

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, WA, Seattle - 152,200.00 - 205,900.00 USD annually

How we rate this

Senior Product Manager - Tech, AI/ML & Accelerated Computing at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Product Manager - Tech, AI/ML & Accelerated Computing is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $152k-$206k a year.
The role is based in US, WA, Seattle.
The job was posted on September 16, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementAI InfrastructureMachine learningAccelerated ComputingStrategic PlanningAWS TrainiumNvidia GPUsAmazon EC2

Also common in AI product manager jobs at this level

AI agents LLM SQL Azure RAG Python

Pay

This job starts at: $152k
Typical AI product manager job: $178k

This posting starts 15% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where accelerated computing was part of your work. What did you do?
Tell me about a project where strategic planning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Product Management, AI Infrastructure, Machine learning, Accelerated Computing, and Strategic Planning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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