Product Marketing Manager, NVIDIA NIM

Reposted 12 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Product Marketing Manager for NVIDIA NIM, you will coordinate product launches, drive awareness, develop messaging, and collaborate with PR to support AI product deployment.
Summary Generated by Built In

As a Product Marketing Manager for NVIDIA NIM, you will play a pivotal role in helping enterprises deploy AI. NVIDIA NIM is revolutionizing AI from experimentation to production, packaging optimized, production-ready models for rapid deployment. Our product marketing team operates at the intersection of developer tooling and enterprise go-to-market, ensuring that our narrative resonates with ML engineers and CTOs alike. If you relish diving into technical depth and translating it into compelling stories, this is the perfect opportunity!

What you will be doing:

  • Launching products: You'll build and manage launch plans for high-visibility NIM releases, coordinating assets, timelines, keynote slides, demos, and press materials while driving cross-functional execution with product management, engineering, technical marketing, and PR or equivalent experience.

  • You'll align the team on messaging and positioning for NIM across developer and enterprise audiences. You will develop messaging docs, sales enablement materials, customer presentations, solution overviews, and web content.

  • Driving awareness: You'll identify target audiences and content gaps, then build the assets that fill them — blogs, webinars, demos, solution briefs, and more.

  • Crafting the ecosystem story: You'll drive co-marketing engagements with NVIDIA's model providers, cloud partners, and ISV ecosystem to showcase the full range of possibilities with NIM.

  • Collaborating with PR: You'll work with PR on press launches to ensure the NIM story is accurate, compelling, and consistent across every channel.

What we need to see:

  • Excellent written and verbal communication skills, with a proven track record of articulating technical value to both developer and executive audiences.

  • College degree or equivalent experience.

  • More than 8 years proven track record in product marketing, product management, or a similar role within a technology company.

  • Highly independent — you manage your own priorities, drive cross-functional alignment, and don't need tactical oversight to complete.

  • Ability to collaborate across functions, influence without authority, and drive decisions in a dynamic environment.

  • An entrepreneurial approach: you adapt when priorities shift, you learn continuously, and you make things happen.

  • Writing samples of public-facing technical content (required with application).

  • A strong mix of technical and business skills — equally comfortable in a conversation with a platform engineer and a VP of Engineering.

Ways to Stand Out from the Crowd:

  • Direct experience with AI inference, model deployment, or developer-facing AI platforms.

  • Experience building launch plans for sophisticated, high-visibility products — including keynote assets, press launches, and demos.

  • Experience going deep enough on a technical product to understand its strengths and weaknesses — and translate that into clear positioning for a developer audience.

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 the pay of employees in similar positions. The base salary range is 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 April 4, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Skills Required

  • Excellent written and verbal communication skills
  • More than 8 years proven track record in product marketing or management within a technology company
  • College degree or equivalent experience
  • Writing samples of public-facing technical content

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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