# Manager, Business Operations

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA
**Role:** Business Operations
**Experience:** 6+ years
**Skills:** SQL, Python, Kpi Development, Dashboarding, Process Redesign, Operational Analytics, Data Reconciliation, Executive Communication
**Posted:** 2026-04-29

> Partner with operations leaders to build analytics infrastructure, KPI systems, and closed-loop processes that scale supply chain, manufacturing, and data center operations. Drive insight, process change, and operating rhythms as the company grows.

## Job Description

## What you will build
- Operational analytics infrastructure required to scale supply chain, manufacturing, inventory management, and data center operations with uncompromising quality and speed.
- A decision-quality KPI and reporting architecture: leading indicators, dashboards, recurring reviews, and crisp narratives that operators trust.
- Closed-loop mechanisms that turn operational complexity into repeatable processes: metric definitions, data ownership, reconciliation paths, and accountability loops.
- System integration between operational data sources and finance systems so that decisions are grounded in consistent, auditable definitions.
- Automation and tooling that compounds output, including structured data pulls, workflow automation, and pragmatic use of AI tools to reduce manual work.
- Public-company-ready operating rhythms: clean close-to-insight timelines, documented definitions, and durable operating packets that scale with scrutiny.

## What you will own
- Operations partnering: Work shoulder-to-shoulder with operations leadership to translate operational reality into clear priorities, tradeoffs, and actions.
- KPI standards and insight assets: Define the metrics that matter, build the dashboards and operating packets, and keep them accurate as systems and processes evolve.
- Operating cadence: Design and run weekly and monthly performance reviews, ensure decisions are made, and close the loop on follow-through.
- Process change: Identify the highest-leverage process gaps, drive redesign and adoption, and measure impact in throughput, cycle time, quality, and predictability.
- Data quality and reconciliation: Build trust in the numbers by instituting clear definitions, checks, and ownership across operational and finance systems.
- Executive communication: Deliver concise narratives that clearly separate signal from noise and drive action.

## What success looks like in the first 6 to 12 months
- You earn trust. Operators proactively pull you into decisions because your work improves outcomes, not just visibility.
- You grow as an operator. You turn consulting-grade problem solving into operating judgment, cross-functional credibility, broader ownership and ultimately IMPACT.
- Durable insight assets are live (dashboards, weekly and monthly operating packets, KPI definitions) with a clear cadence and single-source-of-truth inputs.
- A small number of critical operational processes are redesigned and adopted, with measurable improvements in speed, predictability, and execution quality.
- Cross-functional decisions move faster because the organization shares consistent definitions and a clear view of tradeoffs and constraints.
- Manual reporting load declines materially as automation and self-serve assets replace ad hoc requests and one-off analyses.

## What we are looking for
- 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.
- Technical fluency beyond spreadsheets (preferred). Comfortable with SQL, Python, or adjacent tooling to pull and shape data and automate recurring work.
- 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.

## Ways to stand out
- 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.

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