We are looking for a Senior Product Marketing Manager focused on AI infrastructure solutions — from GPUs to rack-scale systems to AI factories. Want to join a fun, creative company that is at the forefront of the AI era? NVIDIA is developing groundbreaking solutions for AI and AI infrastructure and is one of the fastest growing technology companies.
NVIDIA is the leader in AI infrastructure — from the GPUs at the heart of every AI factory, to the rack-scale systems that make them one machine, to the full AI factory designs operators build worldwide. No one else delivers the compute, the AI factory technologies, the models and applications together. All built with extreme co-design for world class performance per watt and tokens per dollar. We’re looking for someone who can position the whole stack — equally comfortable explaining a GPU’s architecture, a rack’s liquid-cooling manifold, and the productive, fungible, and durable pillars of NVIDIA GPU infrastructure.
What you’ll be doing:
Product marketing and go-to-market launches across NVIDIA’s AI infrastructure portfolio — data center GPUs, rack-scale systems including MGX and NVL platforms, and full AI factory reference designs
Building positioning that connects silicon to system to data center translating GPU, CPU, DPU and networking capabilities into the rack-level and factory-level outcomes customers buy
Telling the full-stack story: how extreme co-design across compute, networking, memory, power, cooling and software produces results no single component can
Working with NVIDIA Engineering, Sales, Creative and Product Management teams to build web content, launch materials, keynote content and marketing assets for agentic AI and high-performance computing applications
Engaging with engineering teams to understand technical details and identify the key value propositions worth positioning
Developing and defending performance and efficiency claims — establishing baselines, verifying figures across sources, and keeping them consistent from datasheet to press release to keynote
Supporting press briefings, analyst engagements and executive content, including messaging documents, Q&A and FAQ for technical audiences
Partnering with OEM, ODM, cloud and ecosystem teams on joint positioning and launch moments
Evangelizing new approaches to marketing AI infrastructure to internal and external, technical and business audiences
Highlighting the economics that decide AI factory investment — tokens per dollar and performance per watt at rack and factory scale
What we need to see:
Bachelor’s or Master’s degree in engineering (or equivalent experience)
12+ years of relevant work experience
Background and prior work experience in the data center marketing or AI infrastructure space required
Working knowledge of data center infrastructure beyond the accelerator — rack architecture, power delivery, cooling, interconnect and the constraints that shape deployment
Strong mix of technical knowledge and business intelligence, and comfort engaging marketing, engineering and product management teams
Past success working across major internal functional areas
Proven track record of conversing with engineering teams to extract key value propositions
Ability to translate AI factory technical concepts and value propositions in a clear, concise and articulate fashion to a range of audiences - general press, analysts, technical press, sales, and end customers
Demonstrated rigor with technical claims and competitive positioning
Ways to stand out from the crowd:
Agentic AI, inference at scale, deep learning, and NVIDIA GPU experience
Understanding of agentic workloads and what they demand of infrastructure — tool calling, orchestration, long-context inference and the CPU, memory and networking behavior around them
Experience with rack-scale or data center infrastructure — liquid cooling, high-voltage power distribution, or open standards work such as OCP
Experience positioning infrastructure as an investment — TCO modeling, ROI narratives, or working with customers on deployment and financing economics
Experience building executive-level and press-facing content under launch timelines
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive product marketing teams are rapidly growing. If you’re a creative and autonomous performer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 11, 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.
Summary
Launch and position AI infrastructure products across GPUs, rack-scale systems and AI factory designs, turning component capabilities into rack- and factory-level outcomes. Requires 12+ years of relevant experience, a data center or AI infrastructure marketing background, and working knowledge of rack architecture, power delivery and cooling.
Responsibilities
Product marketing and go-to-market launches across AI infrastructure portfolio; positioning from silicon to system to data center; full-stack storytelling; building web, launch, keynote and marketing assets; developing and defending performance and efficiency claims; press, analyst and executive content; OEM, ODM and cloud partnerships; tokens-per-dollar and performance-per-watt economics
Qualifications
Bachelor's or Master's degree in engineering (or equivalent experience); 12+ years relevant work experience; data center marketing or AI infrastructure background; working knowledge of data center infrastructure beyond the accelerator; technical and business intelligence; proven track record conversing with engineering teams; translating AI factory concepts for varied audiences
Education requirements
Bachelor's or Master's degree in engineering (or equivalent experience)
Experience requirements
12+ years of relevant work experience; background in data center marketing or AI infrastructure space required
Benefits
Generous benefits package