Salary Range: $160,000–$240,000/year (Range shown is for U.S.-based employees. Compensation outside the U.S. is adjusted fairly based on your country’s cost of living. You can explore how we calculate this here: https://posthog.com/handbook/people/compensation.)
Equity Range: Up to 0.40%
Location: San Francisco, CA (Hybrid)
Job Type: Full-Time
Experience: 3+ years
Visa: US Citizenship/Visa required
About FirecrawlFirecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we’ve hit millions in ARR and 50k+ GitHub stars by building the fastest way for developers to get LLM-ready data.
Previously, we built Mendable, one of the first commercially available “chat with your data” applications. We sold to companies like MongoDB, Coinbase, Snapchat, and more. To do this, we spent a surprising amount of time building reliable infrastructure for getting clean data from the web. When we started to see our founding friends rebuilding the same thing, we thought we might be on to something.
Why FirecrawlSmall team, big ambition – Collaborate closely with founders, influencing key decisions and future directions
Founder first team: 80% of the team are former founders
Engineering first: 80% of the team has an engineering background
Proven Product Market Fit: Firecrawl is growing fast. In 14 months, we've been used by 350k+ developers, including enterprises like Shopify, Replit, and Zapier, and we're in the top 400 GitHub repos of all time.
We need our first data hire to engineer our company's data nervous system.
What You’ll Do
Set up Firecrawl's data infrastructure: Take responsibility for building the data infrastructure for a rapidly scaling organization
SQL Mastery: Design schemas, optimize queries, make databases fly
Automate Everything: N8N workflows, API integrations, LLM-powered analysis pipelines
Cross-Team Impact: Jump between product analytics, growth metrics, and revenue insights
AI-First Infrastructure: Build the data foundation that powers autonomous decision-making
SQL wizard - advanced querying is second nature
Early stage junky - Previously worked at a startup during rapid growth (e.g. team grew 2x+ or revenue 5x+ in under 18 months). Was the first or only data hire, or led the data function (not just a contributor on a large team)
Handled Scale - Designed or maintained infrastructure handling 100M+ row datasets.
Workflow automation - Experienced in workflow building and API integrations using code, Zapier, N8N, or other tools
LLM-native - Cursor, Claude Code, OpenAI Codex, Devin are daily tools.
Generalist mindset - Willing to work in the full stack. Not afraid of stepping into web development or data analytics
Previous experience setting up a data stack with:
Airflow, dbt, or custom orchestration
Postgres or Snowflake performance tuning
BI tooling like Hex
CDC or ELT processes
Built data infrastructure at a startup, living in SQL and automation tools
Built side projects with real data challenges and user feedback loops
AI automation fanatic constantly experimenting with new workflows
High Leverage — Your processes directly amplify our growth.
Autonomy — Own your domain; we care about outcomes, not hours.
Remote-First Culture — Work at our new SF office, while collaborating with our remote team.
Growth Opportunity — Early equity and a role that scales with the company.
Creative Freedom — Experiment with new channels, formats, and automations. If it works, we run with it.
Salary that makes sense — $160,000–$240,000 (U.S.-based), based on impact, not tenure
Own a piece — Up to 0.40% equity in what you’re helping build
Full coverage, no red tape — Medical, dental, and vision plans that cover stuff
Parental leave — 12 weeks fully paid, for moms and dads
Take a break (seriously) — Unlimited PTO, minimum of 3 weeks off
Gear up — Get the tools you need to do your best work, no approvals circus
Wellness stipend — Use it for the gym, therapy, or whatever keeps you human
SF HQ perks — Snacks, drinks, lunches, and the occasional chaotic energy
Pet insurance — Because fur babies are family too
Team off-sites — A change of scenery, minus the trust falls
Sabbatical — 3 paid months off after 4 years, do something fun and new
Application Review – Send us your stuff, and a quick note on why you're excited
Interview (~30 min) with Alex, our AI Interviewer
Intro Chat (~25-min) – Quick alignment call with the CEO
Tactical Challenge (~50 min): Real-world prompt - build a feedback pipeline, design a metrics dashboard, or automate a workflow
Interview with Founders (~30 min) – Conversation with our founders
Paid Work Trial (1 day - 1 week) – Work on something real with us
Decision – We move fast
Build the data brain of a fast-growing AI startup. Apply now and let’s talk.
Top Skills
What We Do
Turn websites into LLM-ready data.
Power your AI apps with clean data crawled from any website. It's also open source.
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