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Senior Technical Product Marketing Manager, NVIDIA Nemotron

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $152K  to $230K

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (24 min ago) · observed since

About this job

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.!

At NVIDIA, we advance open-source AI by enabling developers and companies to build with open, customizable models. We seek a Senior Product Marketing Lead for Nemotron who will develop market strategy and manage the entire launch-to-adoption process for Nemotron models. This prominent role lets you transform model features, performance metrics, and customer feedback into engaging stories and market programs targeting developers, enterprises, and ecosystem partners. Join our dynamic team where your creativity and knowledge will have a strong influence!

What you'll be doing:

  • Direct positioning, messaging, and market entry strategy for Nemotron targeting developers, enterprise technical buyers, business decision-makers, and ecosystem partners.

  • Translate product capabilities, performance data, customer findings, and partner evidence into differentiated, data-driven narratives and field-ready proof points.

  • Own launch strategy and execution for model releases, product updates, key ecosystem moments, and customer-adoption programs.

  • Partner with product management, research, engineering, and developer relations to convert technical roadmaps into compelling market stories, launch plans, and priority audience motions.

  • Develop streamlined, clear content and enablement assets, including product narratives, sales presentations, solution briefs, demos, customer success stories, partner toolkits, blogs, and executive materials.

  • Work with cloud-service providers, systems integrators, ecosystem partners, and sales teams to identify priority workloads, sharpen value propositions, and build repeatable adoption motions.

  • Capture developer, customer, field, and partner signals; use those insights to improve messaging, influence product priorities, and guide future go-to-market investments.

  • Define and track success metrics for launches and adoption programs, communicating results and recommendations to cross-functional and executive collaborators.

What we need to see:

  • 8+ years of proven experience in product marketing, product management, technical marketing, or similar go-to-market roles within AI/ML, cloud platforms, developer tools, enterprise software, data infrastructure, or a related area.

  • Bachelor’s degree or relevant experience in engineering, computer science, marketing, business, or a related area (or equivalent experience).

  • Technical proficiency in AI/ML, accelerated computing, developer platforms, or related ecosystems, with the ability to credibly explain technical tradeoffs and performance claims.

  • A proven history of leading positioning and market entry strategy, directing cross-functional launches, and converting technical advantages into customer benefits.

  • Excellent written, verbal, and presentation abilities for technical, business, and executive audiences.

  • Ability to independently prioritize work, navigate uncertainty and trade-offs, and lead through influence.

Ways to stand out from the crowd:

  • Experience marketing AI models, inference platforms, developer software, or open-source technologies to deeply technical audiences.

  • Practical knowledge of LLMs, reasoning and agentic AI, model evaluation, inference performance, or model customization.

  • A portfolio of technical storytelling, such as launch narratives, customer stories, solution briefs, technical blogs, or executive presentations.

  • Experience taking technical AI products from launch through adoption with cloud-service providers, ecosystem partners, and enterprise sales teams.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 230,000 USD.

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 26% of the 937 Product roles in California listed on this site; 4 others list the same floor. Their median floor is $176,800; the middle half runs from $150,300 to $205,000.

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 range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Technical Product Marketing Manager, NVIDIA Nemotron (this listing)$152K - $230K
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

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. 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

base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 230,000 USD.

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.

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