We are looking for a Senior Product Marketing Manager to join the NVIDIA DSX Platform team.. This role is for a strong technical marketer who understands AI infrastructure and can turn complex platform capabilities into clear positioning, compelling narratives, and high-quality go-to-market execution. As part of NVIDIA DSX, DSX OS spans the IaaS and PaaS layers, providing the building blocks for provisioning, GPU health, multi-tenancy, and observability. DSX OS is a portfolio of open-source, modular, composable infrastructure software that helps cloud partners and infrastructure ISVs build, scale, and operate AI factories faster. The portfolio spans IaaS and PaaS layers, with building blocks for provisioning, lifecycle management, GPU health, observability, resiliency, and multi-tenant operations.
DSX OS is crafted to strengthen partner platforms, not replace them. In this role, you will lead product marketing for key DSX OS initiatives across infrastructure software, ecosystem enablement, and partner adoption. You will define positioning and messaging, develop launch plans, compose technical and business narratives, and build high-impact assets for NVIDIA Cloud Partners (NCPs), cloud service providers (CSPs), infrastructure ISVs, and internal field teams. You will work closely with product management, engineering, developer relations, business development, PR, analyst relations, campaigns, and sales to bring recently developed infrastructure solutions and ecosystem stories to market. This is a highly cross-functional role that requires both strategic judgment and hands-on execution. The right candidate can go deep on architecture, understand operator struggles, and translate platform capabilities into clear customer value.
What You’ll Be Doing:
Orchestrate the positioning and narrative for DSX OS components, building value propositions that connect with both technical operators and business leaders.
We will work together to launch new infrastructure software, where you will guide the go-to-market execution and ensure our messaging is consistent across blogs, web content, and partner materials.
Cultivate deep collaborations with NVIDIA Cloud Partners (NCPs), CSPs, and infrastructure solution providers. Develop joint stories that highlight how we accelerate time to deployment and operational maturity.
By translating sophisticated GPU clusters and Kubernetes architectures into clear business value, your work will serve as the essential bridge between our engineering breakthroughs and the broader AI ecosystem.
What We Need To See:
8+ years of experience 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.
Technical Curiosity: A strong understanding of areas like Kubernetes, GPU clusters, inference platforms, or distributed systems.
Strategic Execution: A proven ability to shape GTM plans and positioning for highly technical platforms.
Communication: Outstanding writing and storytelling skills, capable of bringing together cross-functional collaborators and executives.
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 software specifically for service providers or platform operators.
Community Mindset: Understanding of open-source models and ecosystem-led growth.
Learning Orientation: An MBA or an equivalent blend of business and technical growth.
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.
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
- 8+ years of experience 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
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.”
