Data Engineer/Analyst - Product, Growth & Marketing

Join to apply for the Data Engineer/Analyst - Product, Growth & Marketing role at Firecrawl

Join to apply for the Data Engineer/Analyst - Product, Growth & Marketing role at Firecrawl

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Firecrawl is the easiest way for developers to gather LLM-ready data from the web - we crossed 40k GitHub stars and hit mid 7 figures in a year. We need our first data hire to engineer the customer context system that will be the central nervous system for automating everything from product development to closing deals.

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
• 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

What you bring:

• 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.techexperience- data viz and collaborative analytics
• Generalist mindset- comfortable switching between product/growth/marketing needs

You'll stand out if you:

• 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

Why Firecrawl:

• High Leverage: Your system becomes the central nervous system for AI agents automating our entire build-to-revenue pipeline
• Autonomy: Own your domain, we care about outcomes not process
• Hybrid Culture: Work from our San Francisco office while collaborating with our remote team
• Growth Opportunity: Early team member equity, scale with us
• Creative Freedom: Experiment with new tools and approaches

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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