NVIDIASenior Product Marketing Manager, DSX OS
AI in this role
Lead product marketing for NVIDIA DSX OS infrastructure software designed to help cloud partners build and operate AI factories.
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:
12+ 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 184,000 USD - 287,500 USD for Level 5, and 224,000 USD - 356,500 USD for Level 6.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 2, 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.How we rate this
Senior Product Marketing Manager, DSX OS at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Questions you could be asked
- Tell me about a project where product marketing was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Marketing, AI Infrastructure, Cloud Computing, Go To Market, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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