Jobs at Firecrawl

Commercial Counsel at Firecrawl, a mid-level legal role responsible for day-to-day commercial contracting, including enterprise deals, data licensing, vendor agreements, and partnership terms. The role involves drafting, negotiating, and closing contracts, as well as building templates and playbooks. The position reports to the General Counsel and works alongside Senior Commercial & Product Counsel.

Senior Cloud DevOps Engineer at Firecrawl responsible for building and maintaining the cloud infrastructure, including Kubernetes, storage, and networking, to support the company's data platform. The role requires hands-on ownership of infrastructure at web scale.

General Counsel at Firecrawl, responsible for all legal strategy, risk posture, policy, and team management. This role involves advising on web data access, AI training data, copyright, and machine-generated output, and shaping legal positions. The General Counsel will report to the CEO, lead the legal team, manage outside counsel and budget, and participate in financings and board matters.

Enterprise Solutions Engineer at Firecrawl, responsible for the cloud layer including security, deployment, and infrastructure. This role involves working closely with sales to build platform capabilities for enterprise clients and offers significant ownership from day one.

Social Video Producer at Firecrawl, responsible for creating short-form video content for social media. This role involves concept development, shooting, editing, and publishing videos, with a focus on fast, natural content and occasional polished launch videos. The producer will work behind the camera, directing team members and bringing creative ideas to life.

Senior Web Automation Engineer at Firecrawl responsible for maintaining and improving the company's ability to access web pages at scale. This role involves researching and engineering solutions to overcome web automation detection systems, ensuring fast, reliable, and resilient scraping infrastructure.

Product Engineer at Firecrawl responsible for building the Exchange system, which handles signed data partnerships, making them live, metered, and billable via API. This role requires strong engineering skills and product sense, with a focus on enabling web creators to get paid as the web is rebuilt around AI.

Product Engineer - Scrape at Firecrawl is a full-time, onsite role requiring 3+ years of experience building developer-facing products. The engineer will build and ship features for turning web data into AI-usable formats, owning them from idea to production.

Growth Engineer - Product Growth at Firecrawl is a full-stack engineering role focused on driving user acquisition and engagement. The engineer will own the signup, activation, onboarding, and conversion experience, measured by funnel metrics. This role involves instrumenting, experimenting, building, and iterating on product surfaces to support the company's PLG motion.

Technical BDR at Firecrawl, a senior-level sales role focused on outbound prospecting. This position requires engaging technical buyers like engineers and data scientists to identify needs for web data extraction and LLM-ready output.

Product Engineer at Firecrawl responsible for building the Parse endpoint. This role involves hands-on product engineering to transform documents into AI-usable data, preserving layout and structure. The engineer will own features from ideation to production.

Backend Infrastructure Engineer at Firecrawl responsible for the core infrastructure that ensures the company's data collection services are fast, reliable, and scalable. This involves managing proxy layers, maintaining high success rates against aggressive websites, and optimizing performance under heavy load.

Search Engineer at Firecrawl responsible for building systems to turn the open web into a search index. This involves crawling, ranking, and retrieval at scale, with ownership of real infrastructure from day one.

Product Engineer - Agent role at Firecrawl. This position involves hands-on product engineering to build features that enable LLMs to navigate, decide, and act across the web. The role requires owning features from idea to production and focusing on API usability.

In-house Technical Recruiter at Firecrawl, responsible for end-to-end hiring across engineering, research, go-to-market, and G&A. This role reports to the Chief of Staff and works closely with the Deputy Chief of Staff and hiring managers.

Research Engineer - Benchmarks at Firecrawl. This role involves building and publishing independent, automated, public benchmarks of data providers for company records, finding people, and job listings. The engineer will own the entire process from datasets to scoring and weekly releases, feeding results back into the company's provider selection system.

Firecrawl is seeking a Partnerships Lead for Alexandria, their knowledge library. This role focuses on building and managing the provider network for AI agents, ensuring it's the deepest and most trusted source. Responsibilities include identifying providers, negotiating deals, and managing them through to catalog listing.

Agent Experience Engineer at Firecrawl is a senior engineering role focused on improving how AI agents discover, understand, and utilize Firecrawl's services. The role involves rapid iteration, rigorous A/B testing, and data-driven product development to enhance agent experiences, rather than pure research or data science.

Success Engineer at Firecrawl, an onsite, full-time role based in San Francisco, CA. This customer-facing engineering position focuses on technical partnership, customer adoption, retention, and expansion, rather than ticket closure. The role requires building, deploying, and owning outcomes for customers integrating with Firecrawl's web-to-data API.

Senior Forward Deployed Engineer - Revenue at Firecrawl. This customer-facing role involves helping high-value accounts solve complex extraction and integration problems with Firecrawl's API. Success is measured by customer adoption and expansion, requiring hands-on building, deployment, and ownership of outcomes.

Sales Engineer at Firecrawl responsible for being the technical partner in sales deals. This role involves demonstrating product capabilities, architecting solutions, running proof-of-concepts, and answering technical questions to secure deals. The position reports to the VP of Revenue and Success.

Senior Technical Compliance Program Manager at Firecrawl responsible for building the operational bridge between legal/contractual requirements and technical controls. This role involves translating ambiguous requirements into formal systems, ensuring engineers follow policies, and owning the proof of system compliance. The position reports jointly to the General Counsel and CTO.

Firecrawl is hiring its first Chief Financial Officer. This executive role will own the company's core financial metrics, including pricing and cost of goods. Responsibilities include accounting, FP&A, tax, treasury, billing, revenue recognition, capital strategy, and board relations.

Senior Growth Engineer at Firecrawl responsible for the full-stack development of the signup, activation, onboarding, and conversion experience. This role focuses on driving product-led growth (PLG) by instrumenting, experimenting, building, and iterating on product surfaces, reporting to the VP of Revenue and Success.

This is a mid-level Implementation Specialist role at Firecrawl, an AI infrastructure company. The role is hands-on and customer-facing, focused on integrating Firecrawl's product into customer environments and ensuring successful production deployment. Success is measured by time-to-value and adoption.

Firecrawl is seeking a Senior Open Source Engineer to manage their main repository and develop new open-source primitives. This role requires shipping code, reviewing PRs, and improving the repositories weekly, focusing on engineering quality and shipping velocity.

Research Engineer at Firecrawl responsible for building and owning evaluation systems to measure the reliability of converting URLs into structured data. This involves designing metrics, building pipelines, generating datasets, and managing the feedback loop for model and product decisions.