Drimva

NVIDIA

Senior Product Marketing Manager, Local AI

$152K–$288K

US, CA, Santa Clara · Manager · Full-time · Posted Sep 15, 2026

Experience
8+ years in technical product marketing, developer marketing, product management, entrepreneurship, or a similar role.
Education
Bachelor’s degree in Computer Science, Engineering, or a comparable technical field, or equivalent experience.

About the job

Defines positioning and leads go-to-market coordination for NVIDIA’s on-device AI platform across PCs, workstations, and personal AI systems.

What you'll do

  • Own platform positioning and messaging, and coordinate cross-portfolio campaigns and go-to-market plans.
  • Create launch, technical, sales, and partner marketing assets, working with product and engineering teams to develop credible proof points.
  • Gather community and market feedback, track competitors and campaign performance, and use findings to inform priorities.

What they ask for

  • Bachelor’s degree in Computer Science, Engineering, or a comparable technical field, or equivalent experience.
  • Hands-on experience building and running Local AI applications or workflows using local model inference and agentic tools; prepared to demonstrate personal work.
  • Strong understanding of generative AI, model inference, agent architectures, GPU acceleration, and local, hybrid, and cloud AI tradeoffs.
  • Success in technical or developer marketing, product management, entrepreneurship, or similar work; ability to create positioning, campaigns, launch plans, and enablement.

Nice to have

  • Credibility and relationships in Local AI, open-source, developer, enthusiast, or AI startup communities, especially in the San Francisco Bay Area.
  • Experience founding or scaling an AI or developer-tools company, an MBA with deep technical experience, or marketing developer platforms and related technologies with OEM and ecosystem partners.

Pay

152,000 USD - 230,000 USD (base salary, Level 4); 184,000 USD - 287,500 USD (base salary, Level 5)

Tools

Linux, Windows, APIs, GitHub, notebooks, Python, JavaScript

AI focus

Markets on-device AI; requires hands-on work with local model inference and agentic tools, and knowledge of generative AI, agent architectures, GPU acceleration, and local, hybrid, and cloud AI tradeoffs.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 6, 2026 (UTC)