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MeeruAI

Verified Job Source

AI workbenches for the office of the CFO:  Explain every variance. Act with confidence. Close faster.

Software Development
11–50 people

About

“What changed, why did it happen, and what should we do next?” Every finance team gets asked. Too often, the answer is: “I’ll get back to you.” Not because finance doesn’t understand the business. Because the answer is scattered across ERP systems, planning tools, spreadsheets—and, most importantly, in the heads of the people who understand how the business actually works. The context that explains the numbers was never captured. That’s why finance AI is not simply a model problem. It is a context problem. Generating an explanation is the easy part. Getting it right requires an understanding of the company’s data, definitions, operating model, history, and decision-making. MeeruAI builds AI workbenches for the Office of the CFO that carry that context into the work. The Performance AI Workbench traces changes in revenue, margin, and financial performance back to the drivers that moved them, generates the narrative, and surfaces the next best actions. The Close AI Workbench orchestrates close activities, surfaces blockers, supports reconciliations and approvals, and gives controllers a real-time view of whether the books will close on time. Both workbenches sit on a shared foundation that includes the Finance Command Center, a contextual data model, and purpose-built finance agents. MeeruAI connects to the systems companies already use and understands the business in its own language. Controls, approvals, and traceability are built in from the start. We built MeeruAI after decades spent working with finance and technology leaders and watching teams repeatedly reconstruct the same business context by hand. Today, three Fortune 500 companies are working with us as paying design partners to build a better way. Finance that never says, “I’ll get back to you.” Explain every variance. Act with confidence. Close faster.

Open positions

Staff Data Engineer

Remote · Canada

You will build and own major subsystems of the data foundation, including pipelines, connectors, and curated models. You are responsible for ensuring production-grade system reliability and maintaining data integrity across complex transformations.