Data Engineer/Analyst - Product, Growth & Marketing

Salary Range: $160,000–$240,000/year

Equity Range: 0.10%–0.40%

Location: San Francisco, CA (Hybrid)

Job Type: Full-Time

Experience: 3+ years

Visa: US Citizenship/Visa Only

About Firecrawl

Firecrawl 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. We crossed 43k GitHub stars in just six months and have had paying customers since day one.

Why Firecrawl

• Small 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're used by 350k+ developers, enterprises like Shopify, Replit, Zapier, and we're in the top 400 github repos of all time.
  

About the Role

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

Who You Are

• 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

Bonus Points

• 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

What it means to join Firecrawl

• 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.

Benefits & Perks

• Salary that makes sense — $160,000–$240,000, based on impact, not tenure

• Own a piece — 0.10%–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

Interview Process

1. Application Review – Send us your stuff, and a quick note on why you're excited

2. Intro Chat (15-min) – Quick alignment call with the CMO

3. Tactical Challenge (1 - 1.5 hrs): Real-world prompt - build a feedback pipeline, design a metrics dashboard, or automate a workflow

4. Interview with Founders (45 min) – Conversation with two of our founders, or we may move straight to the take-home if schedules align.

5. Paid Work Trial (1 day - 1 week) – Work on something real with us

6. Decision – We move fast

Build the data brain of a fast-growing AI startup. Apply now and let’s talk.