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Firecrawl

Web-data platform for AI agents

Implementation Specialist

Implementation & Technical Account ManagementUpdated on Nov 11
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience in implementation, forward-deployed, solutions, or customer-facing engineering, ideally at a developer, API, or AI-infrastructure product.
  • Ability to read code, use an API, and build a real integration.
  • Experience taking customers from a signed agreement to live production, including the technical work needed to complete the rollout.
  • Ability to distinguish user error, bugs, and product gaps before building custom solutions.
  • Ability to translate technical details into business value for technical and business audiences.

Responsibilities

  • Own customer onboarding end to end by entering the customer's environment, scoping the integration, and getting the customer to production quickly.
  • Work hands-on with the product and real customer data, build integrations, and solve problems blocking go-live.
  • Conduct technical discovery to diagnose where customer extraction or pipelines break and determine whether the cause is usage, a bug, or a product gap.
  • Turn successful launches into adoption and expansion, and partner with the Deployment team to meet team targets.
  • Serve as the trusted technical voice during rollout and relay field learnings to product and engineering.
  • Determine when to solve a problem independently and when to involve engineering.

Desired Qualifications

  • Experience in implementation or onboarding engineering at API or developer-tools companies.
  • Experience as a solutions engineer owning the lifecycle from a signed deal through production.
  • Experience as a technical account manager who builds solutions.
  • Experience as a founder who sold and delivered their own product.

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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