This Senior Partner Enablement Product Manager, Storage Platform role owns storage solution adoption and enablement across our ODM partners, with a focus on integrating NVIDIA storage platforms into cluster-level and rack-scale deployments. The person in this role serves as the main point of contact linking NVIDIA storage architecture with the ODM ecosystem. They are responsible for enabling partners to compose, build, and deliver storage systems aligned with NVIDIA’s architecture and product roadmap. Equally important, this role functions as the structured voice of the ODM back into NVIDIA. It translates real-world partner constraints, system-level tradeoffs, and deployment insights into actionable input for storage product and platform teams.
The role is centered on three core missions that drive partner success and product evolution. First, it focuses on positioning and enablement by encouraging ODM partners to adopt the storage solutions built by NVIDIA, including STX and BF4-based systems. This supports strong design-in and execution readiness. Second, it anchors partners to NVIDIA’s storage solutions at both the system and cluster level, maintaining alignment throughout building, validation, and production phases. es. Third, it serves as a critical feedback and shaping mechanism, channeling ODM insights into internal product teams to refine storage architecture, improve system design, and enhance scalability across the partner ecosystem. Does this sound like strong match for you? If you are driven and have a passion for driving new technologies to market, then join us!
What you'll be doing:
Deeply understand the storage products developed by NVIDIA, such as STX and BlueField (BF4) platform-based solutions. Translate this knowledge into actionable mentorship for ODM partners.
Lead storage design-in engagements with ODMs — architecture reviews, system integration, and solution alignment at cluster level
Ensure ODM alignment to NVIDIA storage architectures across the lifecycle: compose, testing, production, and deployment
Guide partners on cluster-level storage integration, including performance, scalability, and system tradeoffs within AI / accelerated compute environments
Serve as the primary interface between ODM partners and NVIDIA internal teams — aggregating and communicating partner feedback on architecture, usability, and deployment gaps
Bring ODM field learnings into product discussions in a structured manner to influence storage roadmap and system-level decisions
Build positive relationships with engineering and leadership teams in ODMs, positioning NVIDIA’s data storage technologies as foundational to their AI infrastructure offerings
Develop and scale enablement materials — reference architectures, design guides, and integration frameworks for repeatable ODM execution
Track ODM adoption, architecture alignment, and key friction points; report insights to internal stakeholders
What we need to see:
12+ years of experience working directly within ODMs or in roles deeply engaging ODM partners on storage system
Strong expertise in storage system architecture, including distributed storage and high-performance storage environments
Deep understanding of cluster-level architectures, including compute and storage integration in AI systems
Proven experience with ODM development cycles — design-in, validation, manufacturing, and delivery
Familiarity with storage go-to-market motions and how ODMs bring infrastructure solutions to market
Working knowledge of NVIDIA storage solutions, including STX architectures and BlueField (BF4)-based storage systems
Ability to engage credibly with ODM hardware and system engineers on architecture and system design tradeoffs
Strong cross-functional communication skills, with the ability to translate partner feedback into actionable product input
Bachelor's degree or Master's degree with equivalent experience in Electrical Engineering, Computer Engineering, or an equivalent specialization
Ways to stand out from the crowd:
Experience with rack-scale system design and deployment in AI or hyperscale environments
Prior experience working at or embedded with a Tier 1 ODM on infrastructure program
Familiarity with NVIDIA AI infrastructure stack and ecosystem integrations
Mandarin proficiency is a plus given frequent engagement with ODM engineering teams
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- 12+ years of experience working directly with ODMs or engaging ODM partners on storage systems
- Strong expertise in storage system architecture and high-performance storage environments
- Proven experience with ODM development cycles from design-in to delivery
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
