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Senior Product Marketing Manager, Local AI

NVIDIA

US, CA, Santa Clara · On-site · relocation$12,667–23,958 gross/mofull-timeNVIDIA Careers (offices abroad)

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.

Responsibilities

  • 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.

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    Work format
    On-site
    Seniority
    Lead
    Posted
    15 Sept 2026
    Last verified
    In the last 5 days

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