6 days ago

Product Manager Open Models

NVIDIA

On Site
Full Time
$210,000
New York, United States

Job Overview

Job TitleProduct Manager Open Models
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$210,000
LocationNew York, United States

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Job Description

Product Manager Open Models at NVIDIA

Ready to drive transformation in AI models? At NVIDIA, our team focuses on improving community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager Open Models, you will work with groundbreaking technology to accelerate researchers' and developers' success. Join our team known for their dedication to collaboration and outstanding performance.

What You'll Be Doing

  • Collaborating with community model builders to ensure seamless model support, early access collaboration, and go-to-market alignment.
  • Tracking emerging trends in the open model space and assess technical differentiators and ecosystem impact of new releases.
  • Supporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools.
  • 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.
  • Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility.
  • Work with executives to launch new products and support keynotes.

What We Need To See

  • 7+ years of significant work experience in product management or technical partner management.
  • BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
  • Knowledge of the community model ecosystem, including Hugging Face, PyTorch, and inference frameworks like Ollama, SGLang, and vLLM.
  • Comfortable reviewing Python code used in presentations, demos, and articles.
  • Experience with creating marketing and social media.
  • Excellent written and spoken communication skills, including Microsoft products and markdown skills, with the ability to translate between partner requirements and internal priorities.
  • You love to thrive in a cross-functional organization, by collaborating with peers across teams and functions.
  • Deep organizational skills, capable of balancing multiple projects at the same time.

Ways To Stand Out From The Crowd

  • 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.
  • Hardworking and highly motivated with measurable results (metrics, awards, key accomplishments) you can share.
  • A growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

Key skills/competency

  • Product Management
  • AI Models
  • Community Engagement
  • Ecosystem Tracking
  • Go-to-Market Strategy
  • Technical Collaboration
  • Python Review
  • Marketing Communication
  • Cross-functional Leadership
  • Organizational Skills

Tags:

Product Manager
AI
Open Models
Community
Ecosystem
Product Strategy
Collaboration
Go-to-market
Documentation
Inference
Fine-tuning
Evaluation
Hugging Face
PyTorch
Ollama
SGLang
vLLM
Python
GPU
Quantization
Distillation
Low-rank Adaptation

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How to Get Hired at NVIDIA

  • Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on innovation and AI leadership.
  • Tailor your resume: Customize your resume and cover letter to highlight experience with product management, AI models, and community engagement relevant to NVIDIA's specific needs.
  • Showcase technical depth: Emphasize your knowledge of open model ecosystems like Hugging Face, PyTorch, and inference frameworks, including any hands-on GPU experience.
  • Prepare for technical and behavioral interviews: Be ready to discuss past projects, problem-solving approaches, and how you foster collaboration and product launches at NVIDIA.
  • Network strategically: Connect with NVIDIA employees on LinkedIn to gain insights into their team dynamics and company priorities in the AI product space.

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