Product Manager, Strategic Verticals
Cerebras SystemsSan Francisco, California, United StatesPosted 1 March 2026
Job Description
<div class="content-intro"><p><span data-contrast="none">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. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":0,"335559737":240,"335559738":240,"335559739":240,"335559740":279}"> </span></p>
<p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. <a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. </p>
<p>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.</p></div><p><span data-contrast="auto"><span class="TrackChangeTextInsertion TrackedChange SCXW178429056 BCX0"><span class="TextRun SCXW178429056 BCX0" lang="EN-US" data-contrast="none"><span class="NormalTextRun CommentStart SCXW178429056 BCX0">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, </span><span class="NormalTextRun SCXW178429056 BCX0">providing</span><span class="NormalTextRun SCXW178429056 BCX0"> the fundamentally new capability to </span><span class="NormalTextRun SCXW178429056 BCX0">leverage</span><span class="NormalTextRun SCXW178429056 BCX0"> the most intelligent models at real-time serving speeds.</span></span></span><span class="EOP TrackedChange SCXW178429056 BCX0" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335557856":16777215,"335559740":240}"> </span></span></p>
<p><strong><span data-contrast="auto">Why Cerebras? </span></strong><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="auto">Here at Cerebras, we have built the world’s first </span><em><span data-contrast="auto">wafer-scale</span></em><span data-contrast="auto"> 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. </span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<ul>
<li><strong><span data-contrast="none">Unmatched speed. </span></strong><span data-contrast="none">Our third-generation Wafer-Scale Engine (WSE-3) delivers sub-ms inference latencies and training throughput that eclipses GPU clusters by over 10x. Think instant code generation, instant design creation, agents that interact seamlessly and responsively to their users and environment. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559738":0,"335559739":160,"335559740":279,"335559991":360}"> </span></li>
<li><strong><span data-contrast="none">Full-stack innovation.</span></strong><span data-contrast="none"> From custom silicon to compilers, model research, and turnkey cloud inference, we are innovating and integrating at every laye ... (truncated, view full listing at source)
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