Level

NVIDIA

Principal Product Manager - DSX and DGXC Storage

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 ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 33% higher than the typical AI product manager posting on Level.
  • The posting mentions APIs, AI agents and product management among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Direct storage product strategy, architecture alignment, and ecosystem roadmap for NVIDIA AI factories and high-performance computing platforms.

apis
ai-agentsproduct-managementstorage-architectureecosystem-strategyhardware-software-integration

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.

How we rate this

Principal Product Manager - DSX and DGXC Storage at NVIDIA 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProduct ManagementStorage ArchitectureEcosystem StrategyHardware Software IntegrationAPIs

Also common in AI product manager jobs at this level

Pay

This job starts at
$240k
Typical AI product manager job
$180k

This posting starts 33% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where product management was part of your work. What did you do?
  3. Tell me about a project where storage architecture was part of your work. What did you do?
  4. Tell me about a project where ecosystem strategy was part of your work. What did you do?
  5. Tell me about a project where hardware software integration was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Product Management, Storage Architecture, Ecosystem Strategy, and Hardware Software Integration. 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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