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Firecrawl

Data Engineer/Analyst - Product, Growth & Marketing

Firecrawl, San Francisco, California, United States, 94199

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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 required 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. 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 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'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.

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

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.

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