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Salary
$181k – $245k per year
Location
In office (Seattle)
Seniority
Principal · 7+ years exp
Visa
H-1B filings in 12 months: 16,768 · for this role: 2,064 · green card filings: 56
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Jul 2, 2026. Amazon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

Come build the future of high performance storage with Amazon S3 Express, the storage class purpose built to co-locate storage with compute and deliver consistent single digit millisecond data access. Launched at re:Invent 2023, it is designed for the most demanding, performance sensitive workloads, and we are still in the earliest innings. As AI training, inference, and agentic workloads reshape what applications demand from storage, this is where the hardest problems get solved.

As a Principal PMT, you will own product strategy for a service operating at the frontier of performance. The AI space is moving fast, the requirements are ambiguous, and the technical challenges are hard. Defining what the product becomes, from first principles, is the core of this role. You will drive an agentic storage strategy that confronts the inference memory wall and the explosion of context windows, shifting workloads away from compute heavy architectures and toward layered caching fabrics. You will shape a portfolio of storage products built for AI model training and inference, anchoring general purpose solutions around ultra low latency and POSIX compliant workloads while extending the high bandwidth object storage that S3 Express delivers. You will also focus on accelerator utilization across GPU, Trainium, and Inferentia deployments, provisioning high performance zonal storage with the goal of a full accelerator attach rate.

You will spend your time in product definition, navigating ambiguity, solving deep technical problems, and building the storage foundation that future workloads will depend on. You will thrive here if you love technology, can reason about complex distributed systems, and enjoy working shoulder to shoulder with engineering teams. You bring a strong ownership bias, a persistent drive to make things better, and you are comfortable facilitating executive reviews, diving deep into data, and expressing ideas clearly through writing.

A defining part of this role is who you work with. You will partner with industry leaders across the AI space and teams throughout AWS to solve horizontal high performance computing problems.

(Principal PMT / Principal PMT-ES)

In this role you will

- Develop crisp business requirements and user stories through direct contact with customers and partners at the leading edge of AI and high performance computing

- Define product strategy and roadmap, translating ambiguous, fast moving requirements into a clear path forward

- Solve the storage challenges of AI training and inference, from the inference memory wall to accelerator utilization, by shaping layered caching and high performance zonal storage

- Collaborate with product managers, software development managers, and engineers to define, build, and roll out features

- Bring services and features to market, including beta programs, product marketing, and industry analyst engagement

- Present solutions and the roadmap to customers at conferences and executive briefings

- Partner with industry leaders in AI and teams across AWS to solve horizontal high performance computing challenges, and with the leadership team to set strategy for S3 Express One Zone

About the team

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- 7+ years of working as a Technical Product Manager experience

- 5+ years of technical (software development, network development, IT, other related) experience

- 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)

Preferred qualifications

- Knowledge of distributed systems as it pertains to data storage and computing

- Experience working on AI technologies including Model Training, Inference, RL.

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 - 181,100.00 - 245,000.00 USD annually

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