---
title: 'Senior Product Manager, AI Models at Cerebras Systems'
canonical: 'https://feeny.ai/job/senior-product-manager-ai-models-cerebras-systems-sunnyvale-qf4qvr4cgj1b'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Product Manager, AI Models at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** Sunnyvale, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-01-15
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/cerebras/538ef11a-dfaa-47f1-8557-790199a769d1/application

**Skills:** Python, Chat completions API, PyTorch, Hugging Face, vLLM, SGLang, Solution engineering, Technical marketing, Social media, Cross-functional project leadership, Model quality evaluations, System prompt harnesses, Application code for code generation, Deep research search applications, Agentic flows, LLM model family architectures, Model compilers, Model optimization, Model compression, Quantization

> Lead the strategic model portfolio and product quality for Cerebras' AI inference platform. Partner with top model labs, drive launches, and define benchmarks to ensure production-grade performance. Optimize model selection and performance based on market demand and customer needs.

## Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Own the Future of AI Inference

Cerebras powers the world's fastest AI inference. As the Product Manager for AI Models, you'll lead the strategic model portfolio that defines our product — deciding which models ship, how they perform, and how the world discovers them.

You'll partner directly with leading AI labs, drive launches that shape the industry, and ensure every model on our platform delivers exceptional quality at unprecedented speed.

## 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:

1. 5+ years of experience as a product manager, currently at or above the level of Senior PM.
2. 5+ years of total technical work experience (e.g. SWE, ML researcher, solution engineer).
3. Ability to thrive in a fast-paced, dynamic environment. With an entrepreneurial sense of ownership and ability to lead projects.
4. Knowledge and passion for the worlds of open-source models and generative AI research.
5. Knowledge of the community model ecosystem, including: PyTorch, Hugging Face, vLLM, and SGLang.
6. Highly motivated, independent, organized, and an effective communicator.
7. Comfortable using Python with the chat completions API, for basic model testing.

## Preferred requirements

How to stand out:

1. Product manager experience at a model training lab or a company that implements open-source models.
2. Experience working with customers in a solution engineering role.
3. Experience writing technical marketing assets and social media, with a growing portfolio.
4. Experience working in a cross-functional organization, and leading projects across multiple teams.
5. Experience writing model quality evaluations and system prompt harnesses.
6. Experience writing application code in use cases such as code generation or deep research search application.
7. Expertise on agentic flows and current LLM model family architectures.
8. Understanding of model compilers and optimization.
9. Contributor to communities like vLLM, SGLang, PyTorch, or Hugging Face transformers.
10. Experience with model optimization or compression methods like quantization.

Location

- Hybrid at our Sunnyvale, California or Toronto, Canada office.
- Remote possible for candidates willing to travel 1-2x per quarter.

## Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.

## About Cerebras Systems

## Company Overview
- **One-liner**: Cerebras builds wafer-scale AI chips (the largest semiconductors ever made) and supercomputers that deliver up to 15x faster inference than GPUs, offered both on-premises and via cloud APIs.
- **Entity Type**: Public (NASDAQ: CBRS) — filed for IPO and now listed on the Nasdaq.
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2015
- **Founders**: Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker

## Core Business
- **Primary industries**: Semiconductor manufacturing, AI computing hardware and software, cloud AI services.
- **Target customers**: B2B – enterprises, government research labs, cloud service providers, and AI developers.
- **Mission**: “Building impossible technologies so you can too” – accelerating AI through wafer-scale computing.

## Products & Services
- **Wafer-Scale Engine (WSE-3)**: The world’s largest AI chip (215 mm²), 58x larger than a typical GPU, built for ultra‑fast AI training and inference. Manufactured by TSMC.
- **CS-3 Supercomputer**: A single system powered by the WSE-3, delivering record-breaking AI performance for on-premises deployment.
- **Cerebras AI Inference Cloud & Training Cloud**: Pay-as-you‑go APIs that provide drop‑in OpenAI‑compatible access to Cerebras’ hardware for serving, fine‑tuning, and pre‑training models.
- **Condor Galaxy Network**: A series of supercomputers (e.g., CG‑1 with 4 exaFLOPs) built in partnership with G42 for high‑performance AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (recently public; market cap data not available in provided sources).
- **Key Metric**: Annual revenue of $78.7 M (latest); total funding of $2.7 B across 15 rounds.
- **Notable Investors/Partners**: G42, OpenAI (signed in 2026), Amazon Web Services (signed in 2026), Meta (Llama API), Perplexity, Mistral, Hugging Face, OpenRouter.
- **Growth Signals**: 
  - 34.3% YoY headcount growth (701 employees).
  - Rapid data center expansion across North America and Europe.
  - Won the HPCwire Readers’ & Editors’ Choice 2025 for Best AI Product/Technology.
  - Named to Forbes America’s Best Startup Employers 2026 and Fast Company Most Innovative Companies 2026 (AI).

## Competitive Advantages
- **Wafer‑scale architecture**: Eliminates interconnect bottlenecks, reducing latency and delivering up to 15x faster inference than GPU clusters.
- **Largest AI chip ever built**: 58x larger than any GPU, enabling massive on‑chip memory (SRAM) and compute density.
- **Full‑stack offering**: Hardware + cloud APIs + on‑prem systems, giving customers deployment flexibility.
- **Strong customer relationships**: Key contracts with OpenAI, AWS, G42, and Mayo Clinic (2024 Gordon Bell Prize work).

## Strategic Focus
- **Scale inference capacity**: Building out data centers to become the world’s #1 provider of high‑speed AI inference.
- **Deepen cloud partnerships**: Expanding pay‑as‑you‑go cloud access and enterprise deployments.
- **Advance wafer‑scale technology**: Continuous R&D on WSE‑3 successors and software stack (compiler, ML workflows).
- **Broaden model support**: Already serving Llama, Gemma, Qwen, Mistral, and more; integrating with Hugging Face and OpenRouter.

## Why Work Here
- **Culture**: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy.
- **Work environment**: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy.
- **Perks**: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ).
- **Engineering focus**: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud).
- **Philanthrophy**: Supports local communities and hosts students from around the world for Q&A.

## Sources
1. [cerebras.ai/company](https://www.cerebras.ai/company)
2. [cerebras.ai](https://www.cerebras.ai/)
3. [cerebras.ai/join-us](https://www.cerebras.ai/join-us)
4. [linkedin.com/company/cerebras-systems](https://www.linkedin.com/company/cerebras-systems)

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