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NVIDIA

Senior Developer Relations Manager, Data Platforms

NVIDIA
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senior full-time Santa Clara, CA

First indexed 13 Aug 2026

Description

As a Senior Developer Relations Manager for Data Platforms at NVIDIA, you'll work with strategic technology and data platform partners to integrate NVIDIA's technology stack into partner platforms.

Responsibilities:

  • Identify, recruit, build, and lead partnerships with strategic ISV partners to drive the adoption of NVIDIA software and services.
  • Build relationships with executive and technical leaders across the ISV's organization.
  • Promote NVIDIA software, hardware, and industry solutions within the ISV's architect and developer communities.
  • Find opportunities to integrate NVIDIA offerings with strategic partners to craft differentiated solutions.
  • Discover new ISV workflows and use cases, identify blockers to ISV adoption, and share with product teams.
  • Stay up to date with NVIDIA's broad and constantly evolving portfolio of software, hardware, and solutions.
  • Lead the multi-functional team as the NVIDIA PIC to ensure success of the partnership.
  • Partner closely with the GTM organization within NVIDIA to incubate and drive early mutual success with the partnership.

Requirements:

  • Bachelor's in Technology or Engineering (CS, EE, Robotics, Data Science, Physics, Mathematics, etc.) or equivalent experience.
  • 12+ years of work-related experience, including 5+ years in product and technology business development, solutions architecture, or developer relations work.
  • Experience working at or with Database and Data Storage platform companies such as Databricks and Snowflake.
  • Exposure to latest developments in AI, LLMs, Agentic AI.
  • Outstanding interpersonal skills with a proven track record to articulate a value proposition to technical and non-technical audiences.

Nice to Have:

  • Experience working with partners in building complex systems and bringing them to market.
  • Solid understanding of machine learning, deep learning, high-performance computing.
  • Experience with NVIDIA products and SDKs (e.g., NIMs, NeMo, CUDA, CUDA-X Libraries, Modulus, Omniverse, Cosmos).
  • Background in building solutions on Amazon AWS, Google Cloud Services, Microsoft Azure.