# Principal Product Manager - DSX and DGXC Storage at NVIDIA

NVIDIA is hiring a Principal Product Manager - DSX and DGXC Storage in Santa Clara, United States. It pays $240k-$380k a year and Level rates it Works on AI ●●●○; you can [apply on NVIDIA](https://jobsbylevel.com/go/88c48b0e-107a-4420-a8c1-25b041432040?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. US, CA, Santa Clara.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 3 (score 65 out of 100)
- Location: US, CA, Santa Clara
- Salary: $240k-$380k
- Posted: October 2, 2026
- Apply: https://jobsbylevel.com/go/88c48b0e-107a-4420-a8c1-25b041432040?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-product-manager-dsx-and-dgxc-storage-at-nvidia-b30de8

## Prepare for this job

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## 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

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