# AI Models, Product Manager

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA
**Role:** Product Management
**Experience:** 5+ years
**Skills:** PyTorch, Hugging Face, vLLM, Sglang, Python, Quantization, Speculative Decoding, LLMs, Generative AI, Model Optimization
**Posted:** 2026-04-15

> Leads strategic AI model portfolio for Cerebras' inference platform, owning roadmap, partnerships, quality standards, launches, and optimizations. Requires 5+ years PM experience, technical background, and knowledge of open-source AI ecosystems like PyTorch and Hugging Face.

## Job Description

## 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.

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