Director, Business Operations

Cerebras Systems•Sunnyvale, CA

15h

About The Position

This role is a high-leverage seat in that build and a deliberate apprenticeship into operating leadership. You will create the business operations, analytics, and execution system that keeps decision-ready insight flowing as the company scales. You will be embedded with operators, turning messy operational reality into durable processes, clear metrics, and repeatable operating rhythms. You will report to the Head of FP&A and work in close partnership with the COO and operations leadership. Cerebras is scaling to meet accelerating demand for fast inference. That growth forces rapid expansion across supply chain, manufacturing, and data center deployment. The company needs closed-loop processes and trusted insight assets that scale with the business and remain durable under increasing scrutiny. Recent market validation, including a marquee partnership with OpenAI, is an early signal of a broader shift: fast inference is becoming foundational, and it is still early days. Operational excellence will compound, and the systems built now will define how efficiently the company scales.

Requirements

6 to 10 years of total experience is a reasonable guide. We will bias toward demonstrated impact and judgment over years.
2+ years at a top-tier strategy consulting firm (McKinsey, BCG, Bain, or similar), with readiness to turn generalist problem-solving into company operating impact.
Experience driving operational change inside a scaling company. This can come from operations, strategy, analytics, or FP&A, as long as you have owned real outcomes.
High learning velocity. You want an apprenticeship, not just a title, and you learn quickly from direct feedback while owning real outcomes.
Strong analytical skills and comfort with imperfect data. You can go from ambiguity to a clear framework, then execute.
High agency. You do not wait for perfect inputs or perfect direction. You move, communicate, and close loops.
Systems thinker. You build infrastructure that continues working when the pace increases and the data gets messy.
Clear executive communication. You distill complexity into concise narratives that drive decisions.
AI affinity. You proactively apply modern tools to speed up workflows, improve quality, and reduce manual work.

Nice To Haves

Technical fluency beyond spreadsheets (preferred).
Comfortable with SQL, Python, or adjacent tooling to pull and shape data and automate recurring work.
Experience in hardware, semiconductor, manufacturing, supply chain, or data center operations.
Comfort with Python or similar tooling as evidence of your ability to be a leading creator and user of agents
A track record of building KPI architectures, operating cadences, and repeatable mechanisms from scratch.
Experience partnering directly with COO, C-suite, or VP-level operational leaders.
Demonstrated pattern of high agency: you see problems early and fix them before being asked.

Responsibilities

Partner with 5 to 10 operational leaders across supply chain, manufacturing, and data center deployment to drive insight and action.
Own and deliver the right information in the right way at the right time.
Build the context that allows the organization to know what happened, the implications, and what to do next.
Drive closed-loop operational change.
Diagnose bottlenecks, redesign processes, and follow through until adoption and measurable improvement are real.
Build the assets (metrics, dashboards, operating packets) and you drive the behaviors (cadence, accountability, decisions).
Work shoulder-to-shoulder with operations leadership to translate operational reality into clear priorities, tradeoffs, and actions.
Define the metrics that matter, build the dashboards and operating packets, and keep them accurate as systems and processes evolve.
Design and run weekly and monthly performance reviews, ensure decisions are made, and close the loop on follow-through.
Identify the highest-leverage process gaps, drive redesign and adoption, and measure impact in throughput, cycle time, quality, and predictability.
Build trust in the numbers by instituting clear definitions, checks, and ownership across operational and finance systems.
Deliver concise narratives that clearly separate signal from noise and drive action.