AI Models, Product Manager

<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.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559737&quot;:240,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:279}">&nbsp;</span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups.&nbsp;<a href="https://openai.com/index/cerebras-partnership/&quot;&gt;OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.&nbsp;</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><h4 id="Own-the-Future-of-AI-Inference" data-local-id="27e2ad7d-fed5-4399-8636-9d7785e16b0a" data-renderer-start-pos="568">Own the Future of AI Inference</h4> <p data-renderer-start-pos="600" data-local-id="d08d13f3-579c-4c92-a359-e166de311ab9">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.</p> <p data-renderer-start-pos="838" data-local-id="4c18318d-cea4-42d1-83d7-1ecaf41c2c13">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.</p> <h4 id="What-You'll-Own" data-local-id="eeeca7a0-9050-41be-8319-446a655c863f" data-renderer-start-pos="1017">What You'll Own</h4> <h5 data-renderer-start-pos="1034" data-local-id="17edc850-f094-4f73-bac4-dfeb01e88274"><strong data-renderer-mark="true">Strategic Model Portfolio</strong></h5> <ul> <li data-renderer-start-pos="1063" data-local-id="d0add9b4-eed3-4ebd-b8ed-a5ec55d2771d">Own the models roadmap: decide which frontier and open-source models we support based on market demand, research trends, and strategic fit</li> <li>Establish partnerships with top model labs, for day0 launches</li> <li data-renderer-start-pos="1337" data-local-id="95183413-f570-4c16-aa98-01fe08d20b3e">Build relationships with open-source maintainers to accelerate community model adoption</li> </ul> <h5 data-renderer-start-pos="1428" data-local-id="e826256c-0d1e-4dca-856e-c215a14811f1"><strong data-renderer-mark="true">Product Quality &amp; Customer Success</strong></h5> <ul> <li data-renderer-start-pos="1466" data-local-id="588f966a-b91b-47e1-ad23-d6dd1ccc7aff">Define and enforce quality standards across our model catalog through systematic evaluation frameworks</li> <li data-renderer-start-pos="1572" data-local-id="4eac9d2c-357c-4600-b3a5-f2010e31a38b">Design benchmarks and evaluations that prove our models deliver production-grade performance</li> <li data-renderer-start-pos="1668" data-local-id="8499755a-f89b-4bdd-837c-b4cfe9529509">Own the feedback loop: gather customer insights, identify model weaknesses, and drive improvements with engineering</li> <li data-renderer-start-pos="1787" data-local-id="6d6c027f-6fa9-4566-bcba-d211a4c7e48c">Enable strategic customers to integrate our inference into their products—removing blockers and optimizing for their specific use cases</li> </ul> <h5 data-renderer-start-pos="1926" data-local-id="1f173345-61b0-4a9d-a1a7-a2f25777b965"><strong data-renderer-mark="true">Go-to-Market Excellence</strong></h5> <ul> <li data-renderer-start-pos="1953" data-local-id="97f8725a-d295-448a-933f-887961129253">Lead high-impact model launches that generate buzz and adoption</li> <li data-renderer-start-pos="2020" data-local-id="590f3a84-e495-446f-a067-7f561fa6bda1">Create compelling product marketing: demos, benchmarks, tutorials, and documentation that showcase what's possible on Cerebras</li> <li data-renderer-start-pos="2150" data-local-id="5959aee9-0d04-4141-a689-60a5627721b9">Craft technical content that resonates with developers and decision-makers alike</li> </ul> <h5 data-renderer-start-pos="2234" data-local-id="1380e20b-942a-4943-bf94-7ba94ad16ef7"><strong data-renderer-mark="true">Technical Decision-Making</strong></h5> <ul> <li data-renderer-start-pos="2263" data-local-id="8f72f63f-9009-4b7d-bfd7-85959b9f9356">Select and prioritize performance optimizations (quantization, speculative decoding, etc.) based on customer needs and hardware capabilities</li> <li data-renderer-start-pos="2407" data-local-id="23c1369d-9596-43a5-9dcc-917d707b4995">Collaborate with optimization engineers to implement techniques that maximize our speed advantage</li> <li data-renderer-start-pos="2508" data-local-id="9941a635-03b0-4e4e-9e0c-58166283ab6e">Balance tradeoffs between quality, latency, throughput, and cost</li> </ul> <h5 data-renderer-start-pos="2576" data-local-id="a14e7356-3ad2-41ff-a1f2-97ebd6ff9099"><strong data-renderer-mark="true">Cross-Functional Leadership</strong></h5> <ul> <li data-renderer-start-pos="2607" data-local-id="3d5647fe-0a96-4a21-954b-83f67f9d1beb">Orchestrate launches across model enablement, optimization engineering, deployment, sales, and marketing</li> <li data-renderer-start-pos="2715" data-local-id="a04def27-419a-4888-95d2-03689bd72e43">Drive alignment in a fast-moving environment where priorities shift based on model releases and customer needs</li> <li data-renderer-start-pos="2829" data-local-id="f9d57696-aa75-4225-87b8-326aaf2197b8">Be the voice of the customer to engineering and the voice of product to customers</li> </ul> <h4><span data-contrast="none"><span data-ccp-parastyle="heading 3">Skills &amp; </span><span data-ccp-parastyle="heading 3">Q</span><span data-ccp-parastyle="heading 3">ualifications </span></span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}">&nbsp;</span></h4> <p data-renderer-start-pos="1822" data-local-id="624bebb2-0271-4f7d-a98c-5fc9affc8d4f"><strong data-renderer-mark="true">What we need to see: </strong></p> <ol> <li data-renderer-start-pos="1847" data-local-id="45617d6f-ef29-41e9-80f5-d074a04e6842">5+ years of experience as a product manager, currently at or above the level of Senior PM.</li> <li data-renderer-start-pos="1941" data-local-id="d51fcb21-99e4-4b45-9f50-7ceffaa4eafe">5+ years of total technical work experience (e.g. SWE, ML researcher, solution engineer).</li> <li data-renderer-start-pos="2034" data-local-id="875a46b2-7896-4226-aa1e-b6a37009e9a4">Ability to thrive in a fast-paced, dynamic environment. With an entrepreneurial sense of ownership and ability to lead projects.</li> <li data-renderer-start-pos="2166" data-local-id="175f896f-2ef2-47ba-bc51-b0da641da0f4">Knowledge and passion for the worlds of open-source models and generative AI research.</li> <li data-renderer-start-pos="2256" data-local-id="77b72ccf-a333-413e-8b6b-786125c80757">Knowledge of the community model ecosystem, including: PyTorch, Hugging Face, vLLM, and SGLang.</li> <li data-renderer-start-pos="2355" data-local-id="550d7bd6-45a8-4351-a03d-1ba918701868">Highly motivated, independent, organized, and an effective communicator.</li> <li data-renderer-start-pos="2431" data-local-id="83403608-1303-43b1-9930-93766de89439">Comfortable using Python with the chat completions API, for basic model testing.</li> </ol> <p><strong><span data-contrast="none">Preferred requirements</span></strong><span data-contrast="none"> </span><span data-ccp-props=&quo