NVIDIA Logo

NVIDIA

Senior Partner Enablement Product Manager, Storage Platform

Reposted 23 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
208K-380K Annually
Senior level
In-Office
Santa Clara, CA, USA
208K-380K Annually
Senior level
The role focuses on enabling ODM partners to integrate NVIDIA storage solutions, translating partner feedback into actionable product insights, and guiding storage design engagements across the product lifecycle.
The summary above was generated by AI

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 May 8, 2026.

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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

8 Hours Ago
In-Office
Palo Alto, CA, USA
250K-350K Annually
Senior level
250K-350K Annually
Senior level
Information Technology
Design and build scalable backend and infrastructure for autonomous AI agents: real-time messaging, agent runtimes, LLM integrations, vector retrieval, APIs, databases, and production reliability while mentoring engineers and driving architectural decisions.
Top Skills: AWSCi/CdEmbeddingsExpressFastapiGCPGemini)GoGptKubernetesLlms (ClaudeMessage QueuesNode.jsNoSQLPub/SubPythonSQLTypescriptVector SearchWebsocket
8 Hours Ago
Remote or Hybrid
United States
Entry level
Entry level
Fintech • Machine Learning • Software • Financial Services
This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.
8 Hours Ago
Hybrid
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.
Top Skills: Audio GenerationAugmented RealityC++ClassificationDiffusion ModelsGenerative ModelsImage GenerationLlmsMobile Real-Time SoftwareObject DetectionOn-Device InferencePythonPyTorchSegmentationTensorFlowTrackingVideo Generation

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account