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Firecrawl

Web-data platform for AI agents

Product Engineer

Backend EngineeringUpdated on Nov 11
Full-time

About the Job

Requirements

  • You have built and shipped developer-facing product that people actually used.
  • You have owned production data or integration systems end to end, such as pipelines, third-party feeds, metering or billing infrastructure, or comparable systems.
  • You care about developer experience, including latency, response format, and documentation.
  • You are comfortable owning ambiguous problems and turning them into shipped features.
  • You move quickly and close the loop, preferring to ship, measure, and iterate rather than perfect on paper.
  • You must have at least 5 years of experience and have owned production data or integration systems end to end.
  • Candidates must already be authorized to work in the United States or Canada.

Responsibilities

  • Take a signed data partnership and make it live in production, including the provider catalog, routing that serves partner data through the Firecrawl API, and ingestion that keeps each feed flowing as partner systems change.
  • Own the technical surface of the Exchange alongside the engineers already building it.
  • Make every access chargeable through metering that supports billing, reporting, and payouts.
  • Write gating that enforces each source's terms so that permissioned sources remain permissioned while serving real traffic.
  • Work with the Head of Data Partnerships and the founders on what is technically feasible for a deal before it is signed.
  • Turn each integration into less work for the next one so subsequent partnerships launch faster.

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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