Cerebras Systems

BusinessOperationsLead,Datacenters

$185–265k ~AI est. Sunnyvale, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Business Operations Lead, Datacenters at Cerebras Systems. Own operating cadence for Datacenter organization. Manage monthly business reviews”

Industry & Context.

Problems you'll solve

Create clarity where there is ambiguity; Turn scattered inputs into coherent operating model; Simplify; Remove friction

What They're Looking For.

Must Have

Experience in business operations, Experience in program management, Experience in operational leadership, Experience in datacenter environment, Experience in infrastructure environment, Experience in complex technical environment

What You'll Do.

Own operating cadence for Datacenter organization

Manage monthly business reviews

Manage quarterly business reviews

Manage leadership updates

Partner with senior leaders

Translate strategic priorities into plans

Translate strategic priorities into mechanisms

Translate strategic priorities into follow-through

Build business planning processes

Run business planning processes

Keep teams aligned on priorities

Keep teams aligned on dependencies

Keep teams aligned on risks

Keep teams aligned on execution progress

Drive high-quality communications

Drive change management across organization

Create predictability across business rhythms

Create transparency across business rhythms

Improve intake and triage

Coordinate cross-functional requests

Ensure inputs are complete

Ensure inputs are aligned

Ensure inputs are decision-useful

Set high bar for operating reviews

Set high bar for written deliverables

Set high bar for business reporting

Improve quality of outputs

Review bottoms-up headcount plans

Help leaders make sound tradeoffs

Build durable mechanisms

Help organization scale effectively

Operate effectively in ambiguity

Use judgment to prioritize

Use judgment to simplify

Use judgment to move work forward

How You'll Work.

Team & Collaboration

Cross-functional requests; Business Operations cohort

Full Job Description

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 h

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