Senior AI Models Product Manager — Fast Inference

Cerebras; Sunnyvale (CA); Hybrid; USD 150,000 - 220,000; Full time

Job summary

Cerebras Systems is seeking a Product Manager for AI Models to lead the strategic model portfolio that defines our product roadmap, deciding which models to ship and how they perform. You will partner with leading AI labs, drive launches, and ensure production-grade performance across our model catalog.

You will own the GTM strategy, create technical content, and collaborate with engineering to optimize speed and quality while addressing customer needs across diverse use cases.

Qualifications

• 5+ years of experience as a product manager (Senior PM level or above).
• 5+ years of total technical work experience (e.g. SWE, ML researcher).
• Entrepreneurial mindset with ownership and leadership.
• Knowledge and passion for open-source models and generative AI research.
• Familiarity with model ecosystems including PyTorch, Hugging Face, vLLM, SGLang.
• Strong communication, independence, and Python plus chat completions API skills.

Responsibilities

• Own the strategic model portfolio and roadmaps for model support and launches.
• Establish partnerships with model labs for day0 launches and collaboration.
• Define quality standards and evaluation benchmarks for the model catalog.
• Gather customer feedback and drive model improvements with engineering.

Skills

Product management

Technical experience

Entrepreneurial mindset

Open-source AI

Model ecosystems

Python proficiency

Tools

PyTorch

Hugging Face

vLLM

SGLang

Python

Job description

Cerebras Systems is seeking a Product Manager for AI Models to lead the strategic model portfolio that defines our product roadmap, deciding which models to ship and how they perform. You will partner with leading AI labs, drive launches, and ensure production-grade performance across our model catalog.

You will own the GTM strategy, create technical content, and collaborate with engineering to optimize speed and quality while addressing customer needs across diverse use cases.