AI Talent Hunt looking for client:
Senior Growth Engineer
Company: Firecrawl
Job Description
Senior Growth Engineer
Role Details
Salary: $225K - $290K
Hybrid Work Policy: San Francisco, CA or Bay Area (Hybrid)
Full-time Position
Location: San Francisco, CA, Bay Area, CA
Tech Stack: TypeScript, Node.js, REST APIs, LLM APIs, Datadog, Vercel, React, Next.js, Python, SQL, PostgreSQL, Tailwind CSS, Anthropic Claude API, Mixpanel, Amplitude, PostHog
Equity: Competitive equity — details shared during the process.
Visa Sponsorship Details: Open to visa transfers (e.g. OPT, H1B transfers)
Additional Visa Sponsorship Details: Open to discussion for truly exceptional candidates, but not standard practice currently.
About this Role:
Senior Growth Engineer Role
You'll write the code that turns developers discovering Firecrawl into developers who can't live without it. This is a full-stack engineering role pointed entirely at growth: you'll own the signup, activation, onboarding, and conversion experience, and you'll be measured on the funnel metrics you move, not just the features you ship. You'll instrument, experiment, build, and iterate on the product surfaces that drive our PLG motion. You'll report to our VP of Revenue and Success and own real conversion outcomes from day one.
About Firecrawl:
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.
We hit 8 figures in ARR in year one and more than doubled it in year two. We have 147k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.
We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.
What You'll Do
Own the growth surfaces end to end: signup, activation, onboarding, and conversion
Instrument the funnel, run experiments, and ship the changes that move real metrics
Build full-stack, from the frontend a developer first touches to the backend that powers it
Treat conversion and activation as your number, you own it, measure it, and move it
Work close to the data, form hypotheses, test them, and iterate fast on what works
What We're Looking For
You're a strong full-stack engineer who's worked on growth or PLG products
You've personally owned a conversion, activation, or funnel metric, and moved it, not just shipped features someone else measured
You think like a scientist: hypothesis, experiment, measure, iterate, and you've run real A/B tests you can talk about, including what you learned when they didn't go as planned
Bonus if you've shipped in-product growth surfaces at a dev-tools or SaaS company (onboarding, activation, upgrade flows, in-product guidance) or built conversion pages that measurably moved signup, not just static pages that shipped
Bonus for experience with our stack (Next.js, React, Tailwind, TypeScript, Vercel, PostgreSQL, and the Anthropic Claude API) or for having built with LLMs in production: prompt engineering, tool use, inference pipelines
You've worked on developer-facing products, SDKs, playgrounds, docs surfaces, APIs, and understand how developers actually adopt tools
You have a track record of staying with your work long enough to see it through (we look for real tenure, not a trail of short stints)
You move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paper
What We're NOT Looking For
A growth marketer, this is an engineering role that writes production code
A backend engineer with no interest in the product surface or the metrics
Someone who's only ever shipped features without owning an outcome
A pattern of short stints, we want someone who commits
A Note On Pace
We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If you've felt what "scaling chaos" is like at a company growing fast from early revenue to real scale, you'll feel right at home. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.
Requirements
Requirements
Dealbreaker
Work Experience
Must have:
Full-stack ownership of features shipping end-to-end PLG features (onboarding, activation, upgrade prompts) that measurably moved a metric.
Hard Skills
Must have:
Proficiency with React, TypeScript, Next.js, and Node.js
A/B testing and experimentation frameworks
Baseline
Seniority
Required: 5 - 12 years of experience as a full-stack engineer with hands-on growth work as an IC at an early- or growth-stage startup.
Work Experience
Required:
Ran growth experiments / A-B tests and analyzed funnels (event tracking, SQL/product analytics) to find growth levers.
Hard Skills
Required:
AI-native workflow: fluent using AI coding tools (Cursor, Copilot, Claude Code) to ship faster.
Soft Skills
Required:
Trusted IC who shapes the growth roadmap and can partner with leadership to ship product.
Nice-to-have
Work Experience
Nice to have:
Built internal tooling that growth/product teams adopted.
Traits to Avoid
Avoid:
Pure frontend-only or backend-only specialists
Growth marketers, SEO or content, lifecycle or CRM, or GTM ops profiles
Pure research or platform engineers without product instincts
Treats AI tools as a novelty rather than daily infrastructure
Job Overview
Location
San Francisco, CA or Bay Area (Hybrid)
Job Type
Full-time
Salary Range
$225K - $290K