# Senior Product Marketing Manager, AI Infrastructure at NVIDIA

NVIDIA is hiring a Senior Product Marketing Manager, AI Infrastructure in Santa Clara, United States. Level rates it Works on AI ●●●○; you can [apply on NVIDIA](https://jobsbylevel.com/go/b635c832-76ed-4bd9-944b-7d08b302134a?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. US, CA, Santa Clara.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 3 (score 70 out of 100)
- Location: US, CA, Santa Clara
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/b635c832-76ed-4bd9-944b-7d08b302134a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-product-marketing-manager-ai-infrastructure-at-nvidia-fcb026

## Description

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

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Source: https://jobsbylevel.com/jobs/senior-product-marketing-manager-ai-infrastructure-at-nvidia-fcb026

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