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Firecrawl

Web-data platform for AI agents

Chief Financial Officer

Corporate Finance & FP&AUpdated on Nov 11
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • The candidate must be an AI super user who actively uses AI in their work and has informed views on its limitations.
  • The candidate must have served as CFO or VP of Finance, owning the full finance function and balance sheet at a venture-backed company through a priced round and subsequent growth.
  • The candidate must be hands-on, able to build financial models, close the books if needed, and work without a team initially.
  • The candidate must have partnered with a CEO on fundraising, including the model, data room, diligence, and assessment of terms.
  • The candidate must understand scaling a company with usage-based revenue, actual cost of goods, and compute serving as both a cost and source of leverage.

Responsibilities

  • Build and own the operating model for revenue, margin, headcount, and cash, and communicate findings to the founders and board.
  • Own pricing economics for credits, prepaid and pay-as-you-go plans, enterprise contracts, and discount authority in partnership with product and revenue teams.
  • Determine the pace and allocation of Series B spending and co-lead preparation for the next fundraising round with the CEO, including the model, data room, and diligence.
  • Track inference costs, returns, and compute allocation as components of cost of goods and company operations.
  • Build and run the finance function, including close and revenue recognition for a usage-based business, audit, board and investor reporting, tax, treasury, spending, and equity administration; automate processes where possible.
  • Hire a controller and an FP&A lead when appropriate.

About the Company

Firecrawl

Web-data platform for AI agents

Firecrawl provides a context API for AI agents to search, crawl, scrape, and retrieve clean content from the live web and structured indexes at scale. Its platform handles crawling, rendering, parsing, and cleanup so teams don’t need to build their own extraction pipelines. The Alexandria layer unifies official data providers, custom connectors, and Firecrawl indexes with the live web, enabling agents to discover sources and pull knowledge, including paid access like Wikimedia Enterprise. The service supports scale to millions of users and funds deeper indexes, search capabilities, and knowledge-contributor payouts.

Company size
51-200
Company stage
Late Stage VC
Total funding
$89.5M
Headquarters
San Francisco, CA
Founded
2022

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