Product Marketing Manager - AI Platform Software
NVIDIA · US, CA, Santa Clara ·
- Category
- Marketing
- Experience
- 10+ years
Become a part of NVIDIA, the industry front runner in AI computing, and help us revolutionize AI-powered solutions. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a technical product marketing manager who is passionate about AI frameworks for training and deployment to join NVIDIA’s AI Platform Software team. We need someone technical to build go-to-market plans and shepherd the creation of supporting marketing materials like sample applications, tutorials, white papers, and deeply technical presentations that convey the value of training and inference frameworks, such as PyTorch, JAX, Megatron Core, TensorRT LLM and the underlying kernel and communication libraries such as CUTLASS, NCCL and NIXL.
Do you have the rare blend of both technical and marketing skills? We need hard-working and creative people who want to work on state-of-the-art technology and are passionate about supporting developers. If so, we would love to learn more about you.
What you’ll be doing:
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.
What we need to see:
MS/PhD in Computer Science or Engineering or equivalent experience
10+ 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.
Ways to stand out from the crowd:
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.