AI Models, Product Manager

What You'll Own

Strategic Model Portfolio

• Own the models roadmap: decide which frontier and open-source models we support based on market demand, research trends, and strategic fit
• Establish partnerships with top model labs, for day0 launches
• Build relationships with open-source maintainers to accelerate community model adoption

Product Quality & Customer Success

• 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
• Own the feedback loop: gather customer insights, identify model weaknesses, and drive improvements with engineering
• Enable strategic customers to integrate our inference into their products—removing blockers and optimizing for their specific use cases

Go-to-Market Excellence

• Lead high-impact model launches that generate buzz and adoption
• Create compelling product marketing: demos, benchmarks, tutorials, and documentation that showcase what's possible on Cerebras
• Craft technical content that resonates with developers and decision-makers alike

Technical Decision-Making

• 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
• Balance tradeoffs between quality, latency, throughput, and cost

Cross-Functional Leadership

• Orchestrate launches across model enablement, optimization engineering, deployment, sales, and marketing
• Drive alignment in a fast-moving environment where priorities shift based on model releases and customer needs
• Be the voice of the customer to engineering and the voice of product to customers

Skills & Qualifications

What we need to see:

• 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. With an entrepreneurial sense of ownership and ability to lead projects.
• 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.

Preferred requirements

• 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.