Drimva

NVIDIA

Senior Developer Relations Manager, Data Platforms

$224K–$431K

US, CA, Santa Clara · Manager · Full-time · Posted Aug 12, 2026

Experience
12+ years total; includes 5+ years in product and technology business development, solutions architecture, or developer relations work.
Education
Bachelor’s in Technology or Engineering (CS, EE, Robotics, Data Science, Physics, Mathematics, etc) or equivalent experience.

About the job

Leads strategic data-platform partnerships to integrate NVIDIA technologies into partner offerings and drive joint product solutions, adoption, and go-to-market success.

What you'll do

  • Build and lead strategic ISV partnerships, aligning executive, business, product, and engineering stakeholders.
  • Identify integration opportunities, promote NVIDIA offerings, and relay partner workflows and needs to NVIDIA product teams.
  • Lead cross-functional NVIDIA teams and coordinate with go-to-market teams to deliver joint solutions and partnership outcomes.

What they ask for

  • 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 spanning joint solution definition, deep technical integration, solution buildout, value proposition, and joint marketing.
  • Experience working at or with Database and Data Storage platform companies such as Databricks and Snowflake, with deep understanding of database technologies and ecosystem.

Nice to have

  • Exposure to latest developments in AI, LLMs, Agentic AI.
  • Experience building complex systems with partners; knowledge of machine learning, deep learning, high-performance computing, NVIDIA products and SDKs, or cloud platforms is a plus.

Pay

224,000 USD - 356,500 USD (base salary, Level 5); 272,000 USD - 431,250 USD (base salary, Level 6)

Tools

NVIDIA, Databricks, Snowflake, Amazon AWS, Google Cloud Services, Microsoft Azure, NIMs, NeMo

AI focus

Requires exposure to AI, LLMs, and Agentic AI; preferred knowledge includes machine learning, deep learning, and popular LLMs and AI/ML frameworks.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)