Senior Product Marketing Manager, Local AI
NVIDIA
- Location
- US, CA, Santa Clara
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 394 approvals (FY2023)
- Posted
- Sep 15, 2026
Skills
About this role
NVIDIA is redefining computing by bringing advanced AI to the devices people use to compose, work, and build. Our Local AI platform combines accelerated hardware, AI software, models, runtimes, developer tools, and a broad ecosystem to deliver powerful AI experiences across PCs, workstations, and personal AI systems. We are looking for a technical, AI-first Product Marketing Manager to define the narrative and lead go-to-market coordination for NVIDIA's on-device AI platform. You will identify and prioritize opportunities. Next, you will craft a clear and unique story from them. You will present that story to AI specialists, software creators, and enterprises either directly or through our ISV & OEMs partners. This is a high-impact individual contributor role for a hands-on builder who can move comfortably between technology, community, product strategy, and market storytelling. Does this sound like your dream job? If so, then come show us what you've got!
What you'll be doing
Own positioning and messaging for NVIDIA's Local AI platform, translating one strategy into compelling value propositions for AI enthusiasts, developers, enterprises, OEMs, and partners. Set cross-portfolio campaign priorities and coordinate go-to-market plans across product management and marketing. Lead the creation of high-impact assets, including presentations, demonstrations, videos, web content, technical stories, launch materials, and sales and partner enablement. Work with product and engineering teams to turn technical capabilities, performance data, developer workflows, and customer outcomes into credible proof points that withstand technical scrutiny. Maintain a strong market and community feedback loop by participating in Local AI, open-source, developer, enthusiast, and startup communities and translating their signals into campaign priorities and product feedback. Track competitors, developer preferences, campaign performance, and market perception. Use the results to strengthen NVIDIA's position as the platform people choose first to build and run AI locally. What we need to see: Bachelor's degree in Computer Science, Engineering, or a comparable technical field, or equivalent experience, together with 8+ years in technical product marketing, developer marketing, product management, entrepreneurship, or a similar role. Hands-on experience building and running Local AI applications or workflows using local model inference and agentic tools. You should be prepared to demonstrate something you personally built, configured, or operated. Strong understanding of generative AI, model inference, agent architectures, GPU acceleration, and the performance, privacy, quality, and cost tradeoffs across local, hybrid, and cloud AI. Practical fluency with developer workflows and tools such as Linux or Windows environments, command-line tools, APIs, GitHub, notebooks, Python or JavaScript, and lightweight application prototyping. Demonstrated success creating positioning, messaging, campaigns, launch plans, and enablement that turn complex technology into credible stories for technical and business audiences. Excellent communication and cross-functional leadership skills, with the judgment to set priorities, influence without authority, and operate independently in a fast-moving environment. Ways to stand out from the crowd: Established credibility and relationships within communities dedicated to Local AI, open-source projects, developers, enthusiasts, or AI startups, especially in the San Francisco Bay Area. Experience founding or scaling an AI or developer-tools company, or an MBA combined with deep technical experience. A visible portfolio of technical writing, demonstrations, talks, community work, or campaigns that changed market perception or developer preference. Experience marketing developer platforms, PC or workstation technologies, SDKs, frameworks, runtimes, or open-source projects with OEM and ecosystem partners. NVIDIA is helping