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Mendable

Search Engineer

Toronto, ON, Canada

Pay: $235,000 to $260,000 USD / year
Job type: Full-time
Apply by: Oct 16, 2026
Experience: Experience: 3+ years building browser automation, web infrastructure, or systems-level software
Posting language: English
Posted: Sep 16, 2026

Apply About employer

Applications open in a new tab.

Original job description

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). On-site, five days a week.

Job Type: Full-Time

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

Work Authorization: Must be authorized to work in the United States or Canada. We're not able to sponsor US visas right now. For Canada, we'll consider sponsorship on a case-by-case basis 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.

We hit 8 figures in ARR in year one and more than doubled it in year two. We have 180k+ GitHub stars, putting us in the top 50 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, working out of SF HQ and our new Toronto Hub. 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

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.

Apply About employer

More about this job

Responsibilities

You will reverse engineer website detection systems and challenge flows to maintain reliable web scraping infrastructure. This involves building diagnostic tools, monitoring scrape success rates, and shipping fixes to production at scale.

Requirements

Candidates must have 3+ years of experience in browser automation, web infrastructure, or systems-level software. Proficiency in JavaScript, TypeScript, or Python and strong reverse-engineering instincts are required.

Skills

JavaScript
TypeScript
Python
Browser automation
Reverse engineering
Web infrastructure
Playwright
Puppeteer
CDP
HTTP
TLS
Fingerprinting
Data scraping
Systems-level software
Debugging
API

Benefits

Health insurance
Dental insurance
Vision insurance
Equity
Paid time off
Parental leave
Wellness stipend
Learning and development stipend
Life insurance
Disability insurance
401(k)
Retirement plan
Fertility and family building support
Mental health support
Sabbatical

Visa sponsorship

Not detected in the job text

Keywords

Search Engineer
Firecrawl
Web scraping
JavaScript
TypeScript
Python
Browser automation
Reverse engineering
Playwright
Puppeteer
CDP
HTTP
TLS
Fingerprinting
Infrastructure
Data extraction
LLM
API
Debugging
Obfuscated code
Systems-level software
Proxy fleets
Network fundamentals
Software engineering
AI agents

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