Job description

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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 5, 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

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
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
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 5, 2026.

Nice-to-haves

Mandarin proficiency is a plus given frequent engagement with ODM engineering teams

Application prep

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

Keywords to mirror

aigo

Platform: eightfold
Effort: medium