Senior Storage Product Strategy Lead for AI Infrastructure
NVIDIA
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Benefits offered by this job
Job summary
NVIDIA is seeking a senior storage product leader to direct the strategy and roadmap for DSX/DGXC storage across APIs, reference architectures, and partner integrations. You will align storage partners with NVIDIA’s architecture and convert field insights into actionable roadmap objectives, supporting partner readiness and launches.
The role requires deep storage knowledge, strong executive communication, and a track record building partner programs and reference architectures in cloud, AI, and
Qualifications
- 15+ years in product management, technical product management, or partner management.
- BS or MS in engineering, CS or technical field; MBA considered a plus.
- Deep understanding of storage across cloud, bare-metal, AI, and HPC.
- Proficiency with object, file, block storage; APIs and integrations.
- Experience evaluating markets, GTM, funding, and lifecycle.
- Ability to translate customer needs into roadmaps and launches.
Responsibilities
- Define strategic direction for storage products and roadmaps for DSX/DGXC.
- Collaborate with storage engineering, hardware, supply, and developer teams.
- Monitor storage ecosystem business models, competition, and market demands.
- Translate requirements into prioritized roadmap input and decisions.
- Coordinate NPI GTM processes, early-access programs, and launch readiness.
- Present strategy and tradeoffs to executives and support major launches.
Skills
Education
Tools
Job description
NVIDIA is seeking a senior storage product leader to direct the strategy and roadmap for DSX/DGXC storage across APIs, reference architectures, and partner integrations. You will align storage partners with NVIDIA’s architecture and convert field insights into actionable roadmap objectives, supporting partner readiness and launches.
The role requires deep storage knowledge, strong executive communication, and a track record building partner programs and reference architectures in cloud, AI, and
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