Business Operations Lead, Datacenters

Posted 3 Hours Ago
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Sunnyvale, CA, USA
In-Office
Mid level
Artificial Intelligence
The Role
The Business Operations Lead will partner with senior leaders to manage operations in the Datacenter organization, ensuring alignment and efficient execution of plans and priorities, while improving transparency and decision-making mechanisms.
Summary Generated by Built In

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.

About The Role

This is a high-leverage business operations role embedded in the Datacenter organization. You will partner directly with 5–10 senior leaders to build the operating system that keeps the organization aligned, decision-ready, and executing at speed. The job sits at the intersection of planning, operating cadence, communications, and execution. You will turn complex, fast-moving work into clear priorities, durable mechanisms, and actionable insight. This is not a staff role from the sidelines—you will be in the middle of the work, helping leaders drive performance, manage tradeoffs, and scale with rigor.

Why This Role Matters

Datacenter growth creates complexity fast. As scope expands, the organization needs strong operating rhythms, clean decision paths, and reliable mechanisms that reduce noise and increase execution quality. This role helps create that structure. You will bring predictability to business reviews, planning cycles, communications, and cross-functional asks so leaders can stay focused on the highest-value work. The systems you build will improve transparency, raise the quality of decision making, and help the organization scale without losing speed.

Responsibilities
  • Own the operating cadence for the Datacenter organization, including monthly and quarterly business reviews, metrics, reporting, and leadership updates.
  • Partner with senior leaders to translate strategic priorities into clear plans, mechanisms, and follow-through.
  • Build and run the business planning processes that keep teams aligned on priorities, dependencies, risks, and execution progress.
  • Drive high-quality communications and change management across the organization so decisions are understood and actions land cleanly.
  • Create predictability and transparency across business rhythms by reducing ad hoc noise, clarifying requirements, and improving intake and triage.
  • Coordinate RFIs and other cross-functional requests with internal partners and the broader Business Operations cohort, ensuring inputs are complete, aligned, and decision-useful.
  • Set a high bar for operating reviews, written deliverables, and business reporting—improving the quality of outputs, not just managing the process.
  • Review bottoms-up headcount plans during operating plan cycles and help leaders make sound tradeoffs based on business priorities and constraints.
  • Identify bottlenecks, close process gaps, and build durable mechanisms that help the organization scale effectively.
  • Operate effectively in ambiguity, using judgment to prioritize, simplify, and move work forward in a fast-changing environment.
Skills & Qualifications

You have experience in business operations, program management, or operational leadership in a datacenter, infrastructure, or other complex technical environment. You are highly analytical, structured, and execution oriented. You know how to create clarity where there is ambiguity and how to turn scattered inputs into a coherent operating model. You are comfortable working directly with senior leaders, balancing competing priorities, and making sound judgments with incomplete information. You are a builder by instinct: you simplify, remove friction, and create mechanisms that scale. You are equally comfortable with details and executive context, and you care deeply about raising the quality of decisions and execution.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Skills Required

  • Experience in business operations or program management in a datacenter or technical environment
  • Highly analytical and structured mindset
  • Comfortable working directly with senior leaders
  • Ability to operate effectively in ambiguity
  • Strong execution orientation and ability to prioritize

Cerebras Systems Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cerebras Systems and has not been reviewed or approved by Cerebras Systems.

  • Fair & Transparent Compensation Pay is considered competitive for an AI‑hardware firm, and many employees are described as generally happy with compensation. Sentiment indicates compensation is viewed favorably while acknowledging variation by role and seniority.
  • Healthcare Strength Health coverage is described as top quality with medical, dental, and vision included. Premiums are reportedly fully covered for employees in some plans, increasing perceived value.
  • Flexible Benefits Work‑from‑home flexibility is regarded as strong. Flexible arrangements complement standard offerings like vacation, sick leave, and paid holidays.

Cerebras Systems Insights

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The Company
HQ: Sunnyvale, CA
402 Employees
Year Founded: 2016

What We Do

Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2. Join us: https://cerebras.net/careers/

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