Product Manager - Open Models

NVIDIA NVIDIA · Semiconductors · CA +3 · Remote

Product Manager for Open Models at NVIDIA, focusing on community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. The role involves collaborating with model builders, tracking trends, supporting product marketing, enabling support for open models across inference, fine-tuning, and evaluation, and facilitating feedback loops. Requires 7+ years of product management experience, knowledge of the community model ecosystem, and comfort with Python code.

What you'd actually do

  1. Collaborating with community model builders to ensure seamless model support, early access collaboration, and go-to-market alignment.
  2. Tracking emerging trends in the open model space and assess technical differentiators and ecosystem impact of new releases.
  3. Supporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools.
  4. Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support for open models across inference, fine-tuning, and evaluation.
  5. Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility.

Skills

Required

  • product management
  • technical partner management
  • BS or MS or equivalent experience in engineering, computer science, or another technical field
  • Knowledge of the community model ecosystem (Hugging Face, PyTorch)
  • Knowledge of inference frameworks (Ollama, SGLang, vLLM)
  • Comfort reviewing Python code
  • Experience with creating marketing and social media
  • Excellent written and spoken communication skills
  • Microsoft products
  • markdown skills
  • cross-functional collaboration
  • organizational skills

Nice to have

  • MBA
  • Product manager experience at a company training frontier AI models
  • Hands-on experience with quantization, distillation, or low-rank adaptation techniques
  • Running community models on NVIDIA GPUs

What the JD emphasized

  • 7+ years of significant work experience in product management or technical partner management.
  • Knowledge of the community model ecosystem, including Hugging Face, PyTorch, and inference frameworks like Ollama, SGLang, and vLLM.
  • Product manager experience at a company training frontier AI models.
  • Hands-on experience with quantization, distillation, or low-rank adaptation techniques and running community models on NVIDIA GPUs.

Other signals

  • product management
  • open models
  • community models
  • NVIDIA GPUs
  • inference
  • fine-tuning
  • evaluation