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Campfire in San Francisco seeks a Business Operations Manager to turn messy cross-functional problems into repeatable processes across finance, sales and internal tooling. You will apply structured problem solving and data-driven methods to drive efficient close and reporting workflows while coordinating with multiple teams.
The role emphasizes problem framing, clear communication, and decision-making at the intersection of operations and AI-enabled financial systems.
A Business Operations Manager typically takes messy, cross functional problems and turns them into repeatable processes, often spanning finance, sales, and internal tooling. A strong candidate brings structured problem solving, comfort with data and spreadsheets, and the ability to run projects with little oversight. At a company building an AI native general ledger and ERP for growth stage firms, that means helping internal teams and customers move faster on close and reporting work.
Operations work is shifting from manual tracking and reporting toward designing workflows where AI handles drafting, reconciliation, and first pass analysis. The human part stays in framing the problem, judging what the output means, and getting people to agree on a change. This role sits where those two meet, so judgment and clear communication matter more than raw throughput.
The AI experience here comes from applying AI tools to real finance and operations problems, such as automating close steps or building internal reporting flows. A candidate can build this by using AI assistants on actual process work and documenting what worked and what failed. Familiarity with accounting workflows and ERP data adds context that makes AI output usable.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
An AI-native general ledger and ERP built for growth-stage companies outgrowing QuickBooks, aimed at closing the books in days instead of weeks, per the company.