← All jobs · Cerebras Systems

Product Manager, Strategic Verticals

Cerebras Systems ·
68
AI-Agency
B62 U78
📍 San Francisco, US Mid
Cerebras WSE-3generative AI inferencemodel fine-tuning
TL;DR

Product Manager for Strategic Verticals at Cerebras Systems, a wafer-scale AI chip company. Role involves embedding with strategic customers to translate their AI ambitions into production solutions, design performance benchmarks, and shape product roadmap based on customer insights.

Apply at Cerebras Systems →
share:
you'll be redirected to the company's career page

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

Our customers span leading AI Native companies, Fortune 500 Enterprises, Sovereign AI and Federal programs, and leading research institutions. Our mission is to deliver the platform that unlocks the next generation of AI applications, providing the fundamentally new capability to leverage the most intelligent models at real-time serving speeds. 

Why Cerebras?  

Here at Cerebras, we have built the world’s first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers are limited today by the constant tradeoffs between model quality, speed, and cost, and Cerebras’ mission is to remove these limitations to unlock AI creativity and potential.  

About The Role 

As a founding member of the Strategic Verticals product team at Cerebras, you are the tip of the spear for our company. You’ll embed with our most strategic customers, from AI-native startups shipping 0-to-1 products to Fortune 500 enterprises transforming their industries, to translate and guide their ambitions into blazing-fast, production-ready AI solutions.  

Think of yourself as part product leader, part technical expert, and part GTM strategist:  

  1. Own the outcome – From first whiteboard session to scaled deployment, you are directly accountable for customer success, adoption, and expansion. 
  2. Design for speed – Craft PoCs that showcase Cerebras’ latency super-powers, advise on model selection / fine-tuning, and benchmark end-to-end performance. 
  3. Navigate complexities – pitch new ideas, align internal and customer stakeholders, unblock hurdles, and convert customer interest into long-term, thriving partnerships. 
  4. Shape the roadmap – Distill customer insights into structured product feedback requirements, influencing future software features and chip and cluster designs.  

Successful candidates will be passionate about creative problem solving and idea generation, learning and embedding into new domains, building relationships, and delighting customers.  

You’ll have the opportunity to learn about and enable some of the most impactful AI products in the world, with industry-leading organizations across each vertical. You will get to work closely with a tight-knit product team, in a fast-moving but supportive environment. Your scope and career here will be driven by your passion, ability, and impact – not by your seniority or prior experience. 

Key Responsibilities 

You will: 

Skills & Qualifications  

Preferred requirements 

You’ll thrive in this role if you: 

Location  

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.

Read our blog: Five Reasons to Join Cerebras in 2026.

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 to review our CCPA disclosure notice.

Apply at Cerebras Systems →

More open roles at Cerebras Systems

Cerebras Systems · 🔄 synced 4h ago
Principal ML Investigator
📍 Sunnyvale, US 🛠 AI tools welcome at work · Principal
Principal ML Investigator at Cerebras Systems building ML research and advanced development on the company's wafer-scale AI chip platform. Focus on post-training, dataset optimization, LLM pretraining, sparsity, and domain-specific agents.
PyTorchJAXTensorFlowTritondistributed training frameworks
89
AI-core
Cerebras Systems · 🔄 synced 4h ago
Advanced Technology: AI/ML Research Scientist
📍 Sunnyvale, US · Senior
AI/ML Research Scientist at Cerebras Systems designing and developing AI models and training methodologies on wafer-scale hardware. Work spans optimization theory, model architecture, and computational science to explore new algorithmic possibilities enabled by novel hardware architecture.
PythonPyTorchC
87
AI-core
Cerebras Systems · 🔄 synced 4h ago
Applied AI/ML Scientist
📍 AE · Senior
Applied AI/ML Scientist at Cerebras Systems developing and customizing large language models on the company's wafer-scale AI chip. Responsibilities include training custom models, fine-tuning LLMs, designing agentic systems, and serving as technical expert for customer AI initiatives.
PythonPyTorchTransformersLLMsRLHFDPO
87
AI-core
Cerebras Systems · 🔄 synced 4h ago
LLM Inference Performance & Evals Engineer
📍 Toronto, CA 🛠 AI tools welcome at work · Mid
LLM Inference Performance & Evals Engineer at Cerebras Systems building performance-eval pipelines and benchmarking cutting-edge model optimizations on wafer-scale hardware. Prototype architectural tweaks, develop agent-driven automation for experiments, and collaborate across compiler, runtime, and silicon teams.
PythonTritonLLVMMLIRFlash-AttentionTransformers
83
AI-core
Cerebras Systems · 🔄 synced 4h ago
Advanced Technology: R&D Engineer - AI/ML, HPC
📍 Sunnyvale, US · Senior
R&D Engineer at Cerebras Systems designing and optimizing AI/ML and scientific computing workloads on wafer-scale hardware. Work spans algorithm design, compiler co-optimization, and hardware architecture to advance state-of-the-art performance benchmarks.
CPythonPyTorchCUDAHPCnumerical methods
79
AI-core