Senior Product Marketing Manager, AI Infrastructure

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a Senior Product Marketing Manager to position and market its AI infrastructure portfolio, spanning data center GPUs, rack-scale systems such as MGX and NVL platforms, and full AI factory reference designs. The role connects capabilities from silicon through systems to data centers, explaining how co-design across compute, networking, memory, power, cooling, and software delivers customer outcomes and strong performance per watt and tokens per dollar. The position develops product positioning and go-to-market launches, translates technical capabilities into clear value propositions for varied audiences, and supports marketing content and engagements with press, analysts, executives, customers, and ecosystem partners. It also requires rigor in establishing and validating technical performance and efficiency claims and in articulating the economics of AI factory investment.

Requirements

Bachelor’s or Master’s degree in engineering, or equivalent experience.
12+ years of relevant work experience.
Background and prior work experience in data center marketing or AI infrastructure.
Working knowledge of data center infrastructure beyond accelerators, including rack architecture, power delivery, cooling, interconnect, and deployment constraints.
Strong combination of technical knowledge and business intelligence, with comfort engaging marketing, engineering, and product management teams.
Past success working across major internal functional areas.
Proven ability to converse with engineering teams and extract key value propositions.
Ability to clearly and concisely explain AI factory technical concepts and value propositions to audiences including general press, analysts, technical press, sales, and end customers.
Demonstrated rigor with technical claims and competitive positioning.

Nice To Haves

Experience with agentic AI, inference at scale, deep learning, and NVIDIA GPUs.
Understanding of agentic workloads and their infrastructure demands, including tool calling, orchestration, long-context inference, and associated CPU, memory, and networking behavior.
Experience positioning rack-scale or data center infrastructure, including liquid cooling, high-voltage power distribution, or open standards work such as OCP.
Experience positioning infrastructure as an investment, such as TCO modeling, ROI narratives, or customer deployment and financing economics.
Experience building executive-level and press-facing content under launch timelines.

Responsibilities

Lead product marketing and go-to-market launches across NVIDIA’s AI infrastructure portfolio, including data center GPUs, rack-scale systems, and AI factory reference designs.
Build positioning that connects silicon, systems, racks, and data centers, translating GPU, CPU, DPU, and networking capabilities into customer outcomes.
Tell the full-stack story of how co-design across compute, networking, memory, power, cooling, and software produces results beyond any single component.
Work with Engineering, Sales, Creative, and Product Management teams to develop web content, launch materials, keynote content, and marketing assets for agentic AI and high-performance computing applications.
Engage engineering teams to understand technical details and identify key value propositions.
Develop and defend performance and efficiency claims by establishing baselines, verifying figures across sources, and maintaining consistency across materials.
Support press briefings, analyst engagements, and executive content, including messaging documents, Q&A, and FAQs for technical audiences.
Partner with OEM, ODM, cloud, and ecosystem teams on joint positioning and launch moments.
Evangelize new approaches to marketing AI infrastructure to internal and external, technical and business audiences.
Highlight the economics that inform AI factory investment, including tokens per dollar and performance per watt at rack and factory scale.