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