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Firecrawl

Web-data platform for AI agents

Senior Software Engineer

Full-Stack EngineeringUpdated on Nov 11
Full-timeSan Francisco, CA, USA$235k - $260k /yr

About the Job

Requirements

  • At least 5 years of experience as a full-stack engineer, including growth or product-led growth experience and personally owned metrics.
  • Have personally owned and improved a revenue metric such as paid conversion, upgrade rate, expansion, or net revenue retention.
  • Have personally owned and improved a conversion, activation, or funnel metric.
  • Have experience running A/B tests, including describing learnings from experiments that did not go as planned.
  • Have worked on developer-facing products such as software development kits, playgrounds, documentation surfaces, or application programming interfaces, and understand developer adoption.
  • Demonstrate a track record of staying with work long enough to see it through.
  • Be willing to ship, measure, and iterate quickly.

Responsibilities

  • Own monetization surfaces end to end, including pricing, plans, upgrade flows, and the self-serve-to-sales handoff.
  • Instrument the revenue funnel, run pricing and packaging experiments, and ship changes that improve paid conversion and expansion.
  • Own, measure, and improve paid conversion and net revenue retention.

Desired Qualifications

  • Experience shipping in-product growth surfaces at a developer-tools or software-as-a-service company, such as onboarding, activation, upgrade flows, or in-product guidance, or building conversion pages that measurably improved signup.
  • Experience with Next.js, React, Tailwind, TypeScript, Vercel, PostgreSQL, and the Anthropic Claude API, or experience building with large language models in production, including prompt engineering, tool use, and inference pipelines.

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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