Senior Product Marketing Manager, Local AI
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $287,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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 build the forthcoming age of computing, where AI becomes a natural part of how people compose, work, and build. This role offers the opportunity to shape how the world understands Local AI and bring together an unmatched hardware, software, developer, and partner ecosystem. If you are a technically curious builder and a clear storyteller, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 230,000 USD for Level 4; and 184,000 USD – 287,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Source: NVIDIA on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($152,000) is above 43% of the 838 Marketing roles in California listed on this site; 11 others list the same floor. Their median floor is $160,000; the middle half runs from $133,271 to $190,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSenior Product Marketing Manager, Local AI$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Senior Product Quality Engineer, Board – Automotive$148,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS$148,000 to $235,750
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Product Marketing Manager, Local AI (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Senior Product Quality Engineer, Board – Automotive | $148,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS | $148,000 - $235,750 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)
152,000 USD – 230,000 USD for Level 4; and 184,000 USD – 287,500 USD for Level 5.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
