Senior Product Manager, AI Models

The role

You will lead the strategic model portfolio by deciding which models to support and how they perform. You will partner with AI labs and drive product launches to ensure high-quality inference on the Cerebras platform.

What you will do

• Own the models roadmap based on market demand and research trends
• Establish partnerships with top model labs for day0 launches
• Build relationships with open-source maintainers
• Define and enforce quality standards through evaluation frameworks
• Design benchmarks and evaluations for production-grade performance
• Gather customer insights to drive improvements with engineering
• Enable strategic customers to integrate inference into products
• Lead high-impact model launches
• Create product marketing including demos, benchmarks, tutorials, and documentation
• Select and prioritize performance optimizations like quantization and speculative decoding

Required qualifications

• 5+ years of experience as a product manager, currently at or above the level of Senior PM
• 5+ years of total technical work experience (e.g. SWE, ML researcher, solution engineer)
• Ability to thrive in a fast-paced, dynamic environment
• Knowledge and passion for the worlds of open-source models and generative AI research
• Knowledge of the community model ecosystem, including: PyTorch, Hugging Face, vLLM, and SGLang
• Highly motivated, independent, organized, and an effective communicator
• Comfortable using Python with the chat completions API, for basic model testing

Nice to have

• Product manager experience at a model training lab or a company that implements open-source models
• Experience working with customers in a solution engineering role
• Experience writing technical marketing assets and social media, with a growing portfolio
• Experience working in a cross-functional organization, and leading projects across multiple teams
• Experience writing model quality evaluations and system prompt harnesses
• Experience writing application code in use cases such as code generation or deep research search application
• Expertise on agentic flows and current LLM model family architectures
• Understanding of model compilers and optimization
• Contributor to communities like vLLM, SGLang, PyTorch, or Hugging Face transformers
• Experience with model optimization or compression methods like quantization

Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU
• Publish and open source cutting-edge AI research
• Work on one of the fastest AI supercomputers in the world
• Job stability with startup vitality
• Simple, non-corporate work culture that respects individual beliefs

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.