Head of IT

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.

We are hiring a Head of IT to build and run the internal technology backbone of a company that is scaling quickly and operating at the edge of AI hardware and software. This is not a steady-state IT leadership job, It is a build-and-scale role for someone who thrives when the ground is moving.

You will own the systems that Cerebras employees, contractors, and executives rely on every day: laptops, identity, SaaS, networking, collaboration, endpoint security, internal support, and the IT controls that a company of our maturity needs to have in place. You will keep a highly technical, impatient engineering population unblocked while hardening the environment to standards expected of a company at our stage, including SOX-grade ITGCs and SOC 2.

• Global IT strategy, roadmap, and budget across corporate IT, end-user computing, collaboration, identity, and internal networking.
• Scaling the IT organization as headcount grows, including hiring, leveling, and building regional coverage across US, EMEA, and APAC.
• Identity and access management: SSO, MFA, lifecycle automation, least-privilege, and joiner-mover-leaver workflows across a fast-changing org.
• Endpoint fleet management across macOS, Windows, and Linux, with zero-touch provisioning, MDM, patching, and a hardened baseline that works for AI research workflows.
• SaaS governance: rationalizing and integrating the SaaS portfolio, running vendor selection, contracts, renewals, and spend control.
• Corporate networking, Wi-Fi, VPN/ZTNA, and office buildouts as sites open and expand.
• Executive support for leadership, board, and investor-facing interactions.
• IT service management: ticketing, SLAs, on-call, knowledge base, and employee-experience metrics.
• IT controls and audit readiness, partnering with Security, Legal, and Finance.
• Business continuity, disaster recovery, and incident response for corporate systems.

• 10+ years in corporate IT with at least 5 years leading IT at a high-growth technology company, including experience scaling through 2-5x headcount growth.
• Direct hand‑on experience with AI coding agents, LLM’s, scaling operations with AI supporting tooling.
• Hands‑on experience operating IT in an environment subject to SOX ITGCs or equivalent control frameworks, including working directly with internal and external auditors.
• Strong technical depth across identity (Okta, Entra), MDM (Jamf, Intune), networking, and modern endpoint security. You can go toe‑to‑toe with your engineers, not just manage them.
• Track record of building IT teams that engineering respects.
• Ability to move quickly without breaking compliance posture. You know where a manual process is fine for now and where it is not.
• Good judgment on buy‑vs‑build and on when to automate vs. when to ship a process and iterate.
• Direct, clear communicator, comfortable briefing the CEO, CFO, and Audit Committee.

• Experience with hardware labs, manufacturing, hardware engineering etc.
• Experience supporting AI/ML research organizations…