Product Marketing Manager

NVIDIA AI

Product Marketing Manager - AI Platform Software

Santa Clara, CA (On-site)

$152K/yr – $230K/yrSenior Level8+ years expFull time

Posted 2 months ago

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Job Summary

Own the developer-facing product narrative for AI frameworks by turning complex training and inference tech into compelling value, then drive cross-functional launches and developer education that move adoption and community growth.

Product ownership: craft positioning and claims that differentiate our DL software toward engineers and researchers.
Audience & assets: build developer-centric content set (blogs, tutorials, webinars) and close asset gaps through cross-functional collaboration.
Launch & engagement: orchestrate GTM plans and field-facing events to grow the NVIDIA developer ecosystem.

Job Description

Build product positions - Collaborate with business leaders across NVIDIA to understand and communicate the value of our products to developers. You will gather evidence, develop compelling product claims, and establish positioning points that highlight our strengths and address our competitors' weaknesses.
Introduce products - Develop and complete well-crafted marketing plans, ensuring consistent messaging across all materials. Collaborate with a diverse cross-functional team, including product management, technical marketing, engineering, campaign managers, and PR, to effectively implement these plans.
Foster awareness - Segment and target audiences, identify asset gaps, and collaborate with technical teams to build developer-centric marketing content. This includes generating deep technical blogs, webinars, tutorials, and more to showcase the outstanding features and capabilities
Public engagement - Represent NVIDIA at trade shows, conferences, and customer meetings. Evangelize and nurture the use of our software development kits to grow the NVIDIA developer community.

MS/PhD in Computer Science or Engineering or equivalent experience
8+ years of meaningful work experience in a technical marketing role related to deep learning software.
Technical expertise - Familiarity with popular large language models like DeepSeek, GPT-OSS, Gemma and Phi and an understanding of optimization techniques for accelerating training and inference workloads.
Frameworks ecosystem knowledge - Experience with compilers such as OAI Triton, XLA, MLIR, and frameworks like PyTorch, JAX, vLLM, sglang.
Programming skills - Proficiency in modern programming languages like Python
Communication skills - Outstanding written and verbal communication and interpersonal skills, with a proven ability to articulate value propositions to both technical and non-technical audiences.
Project management - Demonstrated ability to prioritize projects, commit to getting things done, and work independently.
Entrepreneurial approach - A willingness to work on new products and technologies with an entrepreneurial spirit.
Writing samples - Please include samples of public-facing technical content you’ve built.

Product marketing experience - Experience in marketing accelerated computing software products for AI frameworks
NVIDIA ecosystem knowledge - Familiarity with NVIDIA GPUs and the CUDA parallel programming model

You will also be eligible for equity and benefits.

NVIDIA AI

Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.

Santa Clara, California, USA

1 employees

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