The Enterprise Product Group is at the forefront of bringing innovative agentic AI solutions to market, empowering businesses to enhance employee efficiency, improve customer experience, and automate processes to reduce costs and complexity. We collaborate with a broad ecosystem of partners to help enterprises put AI into production. For this role, we are looking for a product marketing lead with deep technical knowledge of agentic AI systems and cybersecurity solutions.
As a key member of our team, you will help develop marketing strategies that drive growth and adoption the latest agentic AI technologies. We are seeking a highly motivated and experienced professional who can communicate the value and vision of our products to a diverse audience. If you have a strong business insight, technical expertise, and leadership skills, we want to hear from you!
What you will be doing:
Craft & develop compelling audience-specific messaging, building value propositions that resonates with both enterprise IT land business leaders.
Outstanding communication and storytelling skills, with the ability to transform complex technical innovations into clear, persuasive narratives across presentations, executive briefings, customer success stories, blogs, and videos that accelerate customer adoption and market influence.
Collaborate with cross functional teams at NVIDIA and our partners to distill key functionality and benefits of co-developed solutions into compelling marketing and sales assets
Work with sales to ready our general and specialized sales teams on our joint value propositions and messaging.
Plan and support launch of new products and solutions including the content plan, awareness strategy, messaging and enablement of NVIDIA and partner sales organizations.
8+ years of demonstrated success in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software.
Bachelor’s degree in a technical or business field, or equivalent experience. Cybersecurity experience strongly encouraged.
Technical Curiosity: A strong understanding of areas like agentic AI systems, Kubernetes and AI software infrastructure, and inference platforms.
Strategic Execution: Track record of leading end-to-end go-to-market strategy and positioning for complex technical platforms, driving market awareness, customer adoption, and revenue growth.
Adaptability: The ability to work proactively, navigate evolving projects, and thrive in a highly collaborative setting.
Ways To Stand Out from the Crowd:
Specialized Insight: Deep familiarity with "AI Factory" infrastructure or cloud-native AI platforms.
Ecosystem Focus: Experience marketing enterprise software
Community Mindset: Understanding of open-source models and ecosystem-led growth.
Learning Orientation: An MBA or an equivalent blend of business and technical growth.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
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.Skills Required
- 8+ years in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software
- Bachelor's degree in a technical or business field or equivalent experience
- Strong understanding of agentic AI systems, AI software infrastructure, inference platforms, and Kubernetes
- Demonstrated track record leading end-to-end go-to-market strategy and positioning for complex technical platforms
- Outstanding communication and storytelling skills for presentations, executive briefings, case studies, and content
- Cybersecurity experience
- Deep familiarity with AI Factory infrastructure or cloud-native AI platforms
- Experience marketing enterprise software and ecosystem/partner-led solutions
- Understanding of open-source models and ecosystem-led growth
- MBA or equivalent blend of business and technical experience
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.
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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.
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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.
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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
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.”
