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From the employer's careers site First seen 10 Nov 2026

Senior Product Marketing Manager

NVIDIA Santa Clara, CA senior full-time

The employer hasn't listed a salary.

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Description

We are looking for a Senior Product Marketing Manager focused on AI infrastructure solutions , from GPUs to rack-scale systems to AI factories.

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.

Responsibilities:

  • 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

Requirements:

  • 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

Nice to Have:

  • 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

We offer competitive salaries and a generous benefits package.

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Skills

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