Job description

NVIDIA is developing AI factories that bring together compute, networking, storage, and software in a single platform. This position directs storage product strategy for DSX/DGXC. The product manager will establish how storage partners align with NVIDIA’s architecture, convert customer and field insights into roadmap objectives, and support partner and launch readiness. What you’ll be doing: • Take charge of the strategic direction for storage products, roadmap, and requirements for DSX/DGXC to determine how storage partners connect with NVIDIA’s architecture, including APIs, reference architectures, qualification paths, and incentives for adoption. • Partner with storage engineering, hardware development, supply, infrastructure, and developer experience teams to align product requirements with platform capabilities. • Maintain an ongoing awareness of the storage ecosystem’s business models, market strategies, competitors, funding status, company life cycles, historical examples, and industry demands. This gives storage partners a clear picture of their place in the NVIDIA ecosystem and what they should develop to connect with the architecture. • Convert customer, field, and partner requirements into prioritized hardware and software roadmap input. Use the analysis to direct roadmap, build-versus-partner decisions, and ecosystem investment. • Coordinate the NVIDIA storage NPI GTM process and guide customer and partner involvement, early-access programs, feedback mechanisms, qualification, and readiness for launch. • Communicate strategy, constraints, tradeoffs, and recommendations to senior executives. Support major product launches and keynotes. What we need to see: • 15+ years of product management, technical product management, or technical partner management experience. • BS or MS, or equivalent experience, in engineering, computer science, or another technical field. An MBA or related experience is considered a plus. • Extensive understanding of the storage ecosystem across cloud, bare-metal, AI, and HPC environments. • Technical proficiency with object, file, block, and parallel storage; caching and data movement; storage hardware and software; APIs; and partner integrations. • Experience evaluating markets and companies through their business model, go-to-market strategy, positioning, funding, maturity, and lifecycle. • Experience translating unclear customer, field, and partner needs into product requirements, roadmap decisions, and launch plans. • A history of establishing partner integration models, joint solutions, reference architectures, or qualification programs. • Strong written, verbal, and executive communication skillscan speak to partners, engineering, the field , and leadership. • Cross-functional leadership in an environment where ownership is distributed across multiple teams. • Ability to manage multiple high-impact priorities while keeping requirements, implementation, validation, and launch readiness clearly differentiated. Ways to stand out from the crowd: • Field-facing product experience at hyperscalers, a storage company, or an AI infrastructure provider. • Experience crafting, integrating, selling, or operating storage for large-scale AI, HPC, or cloud infrastructure, and established relationships across the storage industry with measurable market outcomes • A history of developing storage partner networks and introducing APIs, reference architectures, qualification programs, or joint solutions. • A strong point of view on agentic workflows, AI data services, and their effect on storage architecture and competitive differentiation. • Knowledge of NVIDIA’s storage technology history and AI infrastructure platform. • Relevant technical writing, presentations, research, or customer-facing material. With attractive compensation and a full range of benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the hardest-working and most dedicated people in the world working for us and, due to outstanding growth, our engineering teams are growing fast. If you want to make an industry-scale impact, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Partner with storage engineering, hardware development, supply, infrastructure, and developer experience teams to align product requirements with platform capabilities.
Convert customer, field, and partner requirements into prioritized hardware and software roadmap input. Use the analysis to direct roadmap, build-versus-partner decisions, and ecosystem investment.
Coordinate the NVIDIA storage NPI GTM process and guide customer and partner involvement, early-access programs, feedback mechanisms, qualification, and readiness for launch.
Communicate strategy, constraints, tradeoffs, and recommendations to senior executives. Support major product launches and keynotes.
15+ years of product management, technical product management, or technical partner management experience.
Extensive understanding of the storage ecosystem across cloud, bare-metal, AI, and HPC environments.
Technical proficiency with object, file, block, and parallel storage; caching and data movement; storage hardware and software; APIs; and partner integrations.
Experience evaluating markets and companies through their business model, go-to-market strategy, positioning, funding, maturity, and lifecycle.
Experience translating unclear customer, field, and partner needs into product requirements, roadmap decisions, and launch plans.
A history of establishing partner integration models, joint solutions, reference architectures, or qualification programs.
Strong written, verbal, and executive communication skillscan speak to partners, engineering, the field , and leadership.
Cross-functional leadership in an environment where ownership is distributed across multiple teams.
Ability to manage multiple high-impact priorities while keeping requirements, implementation, validation, and launch readiness clearly differentiated.
Field-facing product experience at hyperscalers, a storage company, or an AI infrastructure provider.
Experience crafting, integrating, selling, or operating storage for large-scale AI, HPC, or cloud infrastructure, and established relationships across the storage industry with measurable market outcomes
A history of developing storage partner networks and introducing APIs, reference architectures, qualification programs, or joint solutions.
A strong point of view on agentic workflows, AI data services, and their effect on storage architecture and competitive differentiation.
Knowledge of NVIDIA’s storage technology history and AI infrastructure platform.
Relevant technical writing, presentations, research, or customer-facing material.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

BS or MS, or equivalent experience, in engineering, computer science, or another technical field. An MBA or related experience is considered a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

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