AI Models, Product Manager

Cerebras Cerebras · Semiconductors · Headquarters +1 · Product Management Departments

Product Manager for AI Models at Cerebras, focusing on the strategic portfolio of models, their performance, and market adoption. The role involves defining quality standards, designing evaluations, managing partnerships with model labs, and making technical decisions on performance optimizations for inference on Cerebras' AI hardware. The role also involves go-to-market strategy and cross-functional leadership.

What you'd actually do

  1. Own the models roadmap: decide which frontier and open-source models we support based on market demand, research trends, and strategic fit
  2. Define and enforce quality standards across our model catalog through systematic evaluation frameworks
  3. Design benchmarks and evaluations that prove our models deliver production-grade performance
  4. Own the feedback loop: gather customer insights, identify model weaknesses, and drive improvements with engineering
  5. Lead high-impact model launches that generate buzz and adoption

Skills

Required

  • Product management experience
  • Technical work experience (SWE, ML researcher, solution engineer)
  • Knowledge of open-source models and generative AI research
  • Knowledge of community model ecosystem (PyTorch, Hugging Face, vLLM, SGLang)
  • Python with chat completions API for basic model testing

Nice to have

  • Product manager experience at a model training lab or company implementing open-source models
  • Experience in a solution engineering role
  • Experience writing technical marketing assets and social media
  • Experience writing model quality evaluations and system prompt harnesses
  • Experience writing application code in use cases like code generation or deep research search
  • 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

What the JD emphasized

  • 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 and passion for the worlds of open-source models and generative AI research.
  • Experience writing model quality evaluations and system prompt harnesses.
  • Expertise on agentic flows and current LLM model family architectures.

Other signals

  • Own the models roadmap: decide which frontier and open-source models we support based on market demand, research trends, and strategic fit
  • Define and enforce quality standards across our model catalog through systematic evaluation frameworks
  • Design benchmarks and evaluations that prove our models deliver production-grade performance
  • Select and prioritize performance optimizations (quantization, speculative decoding, etc.) based on customer needs and hardware capabilities
  • Collaborate with optimization engineers to implement techniques that maximize our speed advantage