Senior Director, Technical Product Marketing – AI Compute

<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><h4>About The Role</h4> <p><span data-contrast="auto">We are seeking a </span><span data-contrast="auto">Senior Director of Technical Product Marketing – AI Compute</span><span data-contrast="auto"> to lead positioning, messaging, and competitive strategy for our AI infrastructure platform. This leader will operate at the intersection of product, engineering, sales, and marketing to articulate the technical and business value of next-generation AI compute systems.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">This role requires deep expertise in competitive product marketing, exceptional technical writing skills, and strong AI industry acumen with a focus on infrastructure (accelerators, clusters, interconnect, training/inference performance, scaling architectures).</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">The ideal candidate can translate highly complex systems-level innovations into compelling narratives for technical buyers, executives, and industry analysts — while driving competitive differentiation in a rapidly evolving AI landscape.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <h4><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">Responsibilities</span></h4> <h5><strong><span data-contrast="auto">Product Positioning Messaging</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></h5> <ul> <li><span data-contrast="auto">Own the end-to-end messaging framework for AI compute products and infrastructure solutions.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> <li><span data-contrast="auto">Develop clear, technically rigorous positioning for training and inference workloads.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> <li><span data-contrast="auto">Translate architecture-level differentiation into customer-facing value propositions.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></li> <li><span data-contrast="auto">Create messaging that resonates with ML engineers, CTOs, CIOs, and AI research leaders.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335 ... (truncated, view full listing at source)