Come build the future of high performance storage with Amazon
S3 Express One Zone, 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.
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 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.
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
- 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.
- 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)
- 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.