This role pays less than
91%
of similar roles. Most pay
$176,450–$223,950
— the shaded band above.
At the midpoint, this role pays about
$150k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
892 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 870 roles with salary data.
As a Product Manager - Open Models, you will join the team responsible for improving support for community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. You will coordinate model enablement, developer experiences, technical content, and product launches across an accelerated computing platform. Your daily responsibilities include tracking emerging releases, maintaining product requirements and launch plans, and gathering feedback from developers to create actionable requirements. You will also test Python code in notebooks and collaborate on marketing materials like blogs and presentations. The role requires a strong technical foundation in generative-AI concepts such as inference, fine-tuning, evaluation, and deployment. Essential skills include proficiency with tools like Hugging Face, PyTorch, Ollama, SGLang, or vLLM. You will solve problems related to the open-model ecosystem by ensuring seamless integration across various hardware and software environments.
What does a Product Manager earn in California?
Median $222000 from 149 postings across 38 companies.
Coordinate model enablement, technical content, and product launches for community models like Llama and Nemotron.
Track emerging open-model releases to summarize capabilities, hardware requirements, and ecosystem impacts.
Maintain product requirements, launch plans, readiness checklists, and supporting documentation for assigned models.
Partner with engineering and infrastructure teams to support inference, fine-tuning, evaluation, and deployment.
Translate developer feedback and recurring issues into actionable product requirements.
Review and test developer workflows, sample applications, notebooks, and Python code for technical content.
Collaborate with marketing to create blogs, documentation, presentations, and social media content.
Support high-visibility product announcements, demonstrations, and keynote materials.
What we're looking for
2+ years of relevant experience in product management, technical program management, partner engineering, developer relations, software engineering, or a related technical role.
BS or MS in computer science, engineering, data science, or another technical field, or equivalent experience.
Working knowledge of the open-model ecosystem and tools such as Hugging Face, PyTorch, Ollama, SGLang, or vLLM.
Ability to read, run, and make minor updates to Python code used in notebooks, demonstrations, documentation, or technical articles.
Familiarity with generative-AI concepts including inference, fine-tuning, evaluation, model deployment, and GPU acceleration.
Experience contributing to technical documentation, presentations, blogs, tutorials, product materials, or social-media content.
Strong written and verbal communication skills to translate technical information into clear requirements and updates.
Strong collaboration and organizational skills to manage multiple projects, deadlines, and dependencies.