Senior Product Manager, Cloud

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 global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role

As a Cloud Platform Product Manager at Cerebras, you will define how startups and enterprises access and utilize the power of Cerebras wafer-scale AI compute through our cloud platform.

You will own product strategy for our Cloud Platform and Serverless Inference product, including Enterprise and Security features. Serverless Inference is how most developers initially experience Cerebras. You'll shape how this product scales by solving capacity management, forecasting, service utilization, SLA guarantees, and connecting insights to customer success. You'll also launch new offerings that match key customer needs in the market.

You will partner closely with Engineering, Sales, and GTM teams to build and scale our Cloud platform and Serverless Inference business.

Responsibilities

• Define and own the product vision, strategy, and roadmap for the Cerebras Cloud platform – balancing rapid iteration with long-term platform evolution to build the premier Serverless Inference offering for the most ambitious and valuable AI applications.


• Drive capacity management and forecasting to optimize resource allocation and predict demand


• Analyze service utilization patterns to maximize platform efficiency and customer value


• Define SLA frameworks and performance standards to ensure reliable service delivery at scale


• Collaborate with customer support to translate user feedback into platform improvements and feature priorities


• Lead serverless endpoint business strategy including pricing, packaging, and go-to-market execution with Sales, Marketing / Developer Relations, and Customer Success.


• Stay on the cutting edge of API, developer-tools, and AI-infrastructure trends to keep Cerebras’ offering best-in-class.

Skills & Qualifications

• Passion and ability to rapidly prototype new AI use case demos or develop internal AI-native systems and workflows to accelerate product development.


• Experience building products in the AI space.


• Experience with both Developer and Enterprise audiences.


• Familiarity with OSS inference stacks (vLLM, SGLang, Dynamo).

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 2025.

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.

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