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.

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 Firecrawl

• Technical ownership – Lead critical browser technology and infrastructure

• Real impact – Directly shape how our browser stack drives our entire product

• High velocity – Rapid iteration and deployment of your work

• Small team, big ambition – Collaborate closely with founders, influencing key decisions and future directions

About the Role

In just a year, we’ve hit millions in ARR and 43k+ GitHub stars by building the fastest way for developers to get LLM-ready data. We’re a small, fast-moving team building essential tools for the AI era. We value autonomy, clarity, and shipping fast.

We need our first data hire to engineer build our companies customer nervous system.

What You’ll Do

• Build the Customer Brain: Engineer the system that aggregates all customer data and feeds context to AI agents across product, growth, and sales

• PostgreSQL Mastery: Design schemas, optimize queries, make databases fly

• Automation 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

• PostgreSQL wizard - advanced querying is second nature

• N8N automation - workflow building and API integrations

• Data science chops - stats, modeling, ETL processes

• LLM-native - Claude Code, OpenAI Codex, Devin are daily tools

• Customer-curious - you want to understand problems, not just crunch numbers

• Hex.tech experience - data viz and collaborative analytics

• Generalist mindset - comfortable switching between product/growth/marketing needs

Bonus Points

• Built data infrastructure at a startup, living in SQL and automation tools

• Were the solo data person handling customer analytics to growth metrics

• Can point to data insights that directly influenced product decisions

• 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 offsites — 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.