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Firecrawl

Web Automation Engineer

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Hybrid
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$235K – $260K a year
Posted
7 weeks ago

Pay and the market here

The top of this role’s range, $260K a year, is about the median of $259K for engineering jobs in San Francisco (middle half $215K – $315K, 4,022 jobs that state pay).

5,003 engineering jobs open in San Francisco: 9% remote, 949 posted in the last 30 days.

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About the role

Web Automation Engineer

You'll keep Firecrawl connected to the open web. Every product we ship depends on reliably accessing pages at web scale, and the modern web actively resists automation with detection systems, challenge flows, and fingerprinting that evolve weekly. This role is equal parts research and engineering: understand how those systems work at the deepest level, then turn that understanding into infrastructure that keeps our scraping fast, reliable, and resilient. If you like taking apart obfuscated JavaScript on a Tuesday and shipping the fix to production on Wednesday, this is for you.

Salary Range: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)

Equity Range: Competitive equity. Details shared during the process.

Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.

Job Type: Full-Time

Experience: 3+ years building browser automation, web infrastructure, or systems-level software

Work Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case through our Toronto Hub.

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. It's the boring-hard problem everyone building with LLMs eventually hits, solved.

In September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 192k+ GitHub stars, putting us in the top 40 repositories of all time, 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. That library is called Alexandria, and it starts now.

Our Values

  • Bias to action: We move fast, ship hard, and don’t wait to be told.
  • Realistic about AI: We’re clear-eyed about what AI can and can’t do, and we keep pushing to use it where it actually works.
  • All in: The next few years matter a lot, and we’re all in for them.
  • Human connection: As intelligence gets cheaper, relationships with customers, partners, and each other matter more.

What You'll Do

  • Reverse engineer detection: Research how modern websites detect and challenge automated traffic, and take apart those mechanisms and challenge flows
  • Find the signals: Identify the browser, device, network, and behavioral signals that separate automated access from human traffic
  • Replicate and harden: Reproduce those signals synthetically in authorized test environments to validate and harden our approaches
  • Turn research into production: Build the automation, diagnostic, and monitoring tools that keep scrape reliability high as the web shifts
  • Own scrape success rate: Measure it, explain regressions, and ship the fixes
  • Ship fleet-wide: Work with platform engineers to roll improvements out across the crawling fleet at scale

What We're Looking For

  • Languages: Strong JavaScript/TypeScript and/or Python, and comfortable picking up whatever a problem demands
  • Browser internals: Real understanding of rendering, JS engines, headless automation (CDP, Playwright, Puppeteer), and where automated browsers differ from real ones
  • Network fundamentals: Solid grasp of HTTP/TLS, proxies, and browser and device fingerprinting
  • Reverse-engineering instincts: You can read minified, obfuscated code and figure out what it's actually checking
  • Research with a shipping habit: You go deep on how something works, then land the fix in production, not just a writeup
  • Nice to have: Deobfuscating JavaScript and VM-based obfuscation, network-level fingerprinting (TLS/HTTP2 signatures, JA3/JA4), running large browser or proxy fleets in production, or prior work at a scraping, web data, security research, or automation company

What We're NOT Looking For

  • Needs a spec: Someone who needs a fully specced ticket to start
  • Narrow lane: Someone who wants to specialize narrowly and hand off everything else
  • Process first: Someone who optimizes for process over shipping

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 that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.

Benefits & Perks

Available to all employees

  • Salary that makes sense: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto), based on impact, not tenure
  • Own a piece: Gain competitive equity in what you're helping build
  • Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded). Take the time you need to recharge
  • Parental leave: 12 weeks fully paid, for all parents
  • Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human
  • Learning & Development: Expense up to $1,000 USD/year toward anything that helps you grow professionally
  • Team offsites: A change of scenery, minus the trust falls
  • Sabbatical: 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

  • Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for partner and kids). No weird loopholes, just care that works
  • Life & Disability insurance: Employer-paid basic life and AD&D, short-term disability, and long-term disability. Coverage for life's curveballs
  • Virtual care and a health guide: Teladoc for the couch doctor visit, plus Rightway to answer coverage questions and fight billing errors for you
  • Mental health: Talkspace, therapy and psychiatry on your schedule
  • Fertility and family building: Carrot, covering you and your partner
  • EAP: Free confidential counseling, legal and financial consults, and online will prep through Guardian
  • 401(k) plan: Retirement might be a ways off, but future-you will thank you
  • Pre-tax benefits: HSA, FSA, and commuter benefits to help your wallet out a bit
  • Supplemental options: Extra life and AD&D, accident, critical illness, hospital indemnity, plus pet, legal, and identity protection through MetLife

Available to Canada-based full-time employees

  • Full coverage, no red tape: Extended health, dental, and vision through Manulife (Diamond, the top tier), 100% employer-paid for you, your partner, and your kids
  • Life & Disability insurance: Employer-paid life, AD&D, short-term disability, and long-term disability. Coverage for life's curveballs
  • Virtual care: Dialogue Premium, so you can see a doctor or nurse from your couch, any hour
  • Mental health: Talkspace Elite, therapy and psychiatry on your schedule
  • Fertility and family building: Carrot, covering you and your partner
  • Retirement: Group RRSP through Wealthsimple, so future-you can thank you

Available to SF-based employees

  • SF HQ perks: Snacks, drinks, team lunches, intense ping pong, and peak startup energy
  • E-Bike transportation: A loaner electric bike to get you around the city, on us

Available to Toronto-based employees

  • Toronto Hub perks: Snacks, drinks, team lunches, glass-walled views down University Avenue, and a home base steps from Union Station
  • Transit, covered: A PRESTO card loaded for GO Transit, subway, and streetcar, plus station parking if you drive to the train. Winter-proof, on us

Interview Process

Application Review: Send us your work and a quick note on why this excites you. Show us what you've taken apart: automation you've built, detection systems you've analyzed, gnarly debugging stories. We care about what you've shipped, not where you went to school.

Intro Chat (~25 min): A quick conversation to get to know each other before we go deep. What you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.

Technical Chat (~45 min): We'll dig into a real problem from our world: why a page loads in a real browser but fails under automation, how a challenge flow decides what it's talking to, or debugging a sudden drop in scrape success. Come ready to think out loud. We care how you reason, not whether you memorized the answer.

Founder Chat (~25 min): Culture, pace, ownership, and how you like to work. Time for your questions too.

Paid Work Trial (~40 Hours): Work with the team on a real, scoped piece of the product, paid at a contractor rate. It's the truest signal for both sides: you see what building at Firecrawl actually feels like, and we see how you ship. Remote-friendly, and we'll flex around your current commitments.

Decision: We move fast after the trial.

If you want to understand the web more deeply than the people trying to keep you out of it, you should join us.

👉 Apply now.

Source

Posted by Firecrawl on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:23 UTC; the original is the reference.

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