Senior Product Manager, AI Models - Sunnyvale, CA, United States

Originally posted 15 January 2026 by the employer.

About the role

This role involves leading the strategic model portfolio and defining which models ship, their performance, and how they are discovered. The position focuses on AI inference, specifically with models supported on Cerebras' architecture.

What you'll do

• Own the models roadmap, deciding which frontier and open-source models to support based on market demand, research trends, and strategic fit.
• Define and enforce quality standards across the model catalog through systematic evaluation frameworks and design benchmarks to prove production-grade performance.
• Lead high-impact model launches, create compelling product marketing, and craft technical content for developers and decision-makers.
• Select and prioritize performance optimizations (quantization, speculative decoding, etc.) based on customer needs and hardware capabilities, collaborating with optimization engineers.
• Orchestrate launches across model enablement, optimization engineering, deployment, sales, and marketing, driving alignment in a dynamic environment.

What you'll need

• 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).
• Knowledge of open-source models and generative AI research.
• Knowledge of the community model ecosystem, including PyTorch, Hugging Face, vLLM, and SGLang.
• 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.
• 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.

Skills: AI Models, product manager, models roadmap, product quality, go-to-market