Commercial Counsel

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.

As Commercial Counsel at Cerebras, you will negotiate high‑impact commercial transactions supporting our global revenue team, as well as our procurement, engineering and information security functions. This role is pivotal to enabling scalable enterprise growth and ensuring legal integrity across complex, fast‑evolving deal structures. You’ll work closely with cross‑functional teams—including sales, product, engineering, and procurement—to negotiate and structure agreements that drive innovation while managing risk.

As part of a team that supports cutting‑edge AI and cloud technologies, you’ll help shape the legal frameworks that underpin our enterprise offerings. Your work will directly influence how we deliver value to customers and partners, ensuring that our contracts are not only compliant and enforceable, but also aligned with strategic business goals. This is a unique opportunity to contribute to transformative deals and help operationalize legal strategy in a high‑growth environment.

Executives are in‑office, enabling critical business knowledge and organizational decisions in a fast‑paced environment. This attorney will be required to join colleagues in‑office to maximize success in the role.

• Draft, review, and negotiate commercial agreements related to cloud inference services, including licensing, data usage, privacy and performance SLAs.
• Assist with high value hardware sales and public sector sales.
• Lead legal support for procurement software transactions, including vendor agreements, SaaS contracts, and integration terms.
• Collaborate with sales, product, and engineering teams to align deal terms with business and technical requirements.
• Advise on legal risks and mitigation strategies across cloud and procurement engagements.
• Support internal stakeholders on contract lifecycle management and compliance processes.
• Help develop and refine playbooks, templates, and negotiation strategies for scalable deal execution.
• Monitor regulatory developments and industry trends relevant to cloud and procurement contracting.

• At least 3 years of experience in commercial transactions in technology or enterprise software.
• A mix of law firm and in‑house experience preferred.
• Strong experience negotiating complex SaaS, licensing, and vendor agreements.
• Familiarity with cloud infrastructure and AI inference concepts is highly beneficial.
• Solid understanding of AI technology deal structures and commercial dynamics.
• Experience with procurement transactions, including vendor and integration agreements.
• Business acumen and critical thinking with the ability to think on one’s feet and interact confidently with clients.
• Excellent communication and stakeholder management skills.
• Strong ability to quickly learn other practice areas, and desire to work in a fast‑paced environment.
• Can‑do attitude and strong work ethic; no task is beneath you and no problem is unsolvable.
• Juris Doctor (J.D.) and bar admission required.

The salary range for this position is $175,000 to $230,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

• Build a…