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