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Added 47 mins ago
Lead Radio Systems (LMR) Engineer/Specialist
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Full-time
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Added 47 mins ago
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Firecrawl

Support Engineer

Toronto, ON, Canada

Pay: $166,000 to $218,000 USD / year
Job type: Full-time
Experience: Experience: 3+ years
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

Support Engineer

We're looking for a hands-on Support Engineer to make sure our customers succeed with Firecrawl, and to build the systems that let a small team support a fast-growing customer base. You'll diagnose complex API issues, help developers through integrations, and give our most important customers answers they can trust. You'll also be the one who notices the same problem keeps coming up and automates it away, using AI triage, internal tools, agents, or whatever the simplest fix turns out to be.

You'll be the technical bridge between our users and the product. That means using good judgment about what matters most, sharing what you learn with the rest of the team, and owning your work end to end.

Salary Range: $193,000–$218,000 USD/year (SF) / $166,000–$200,000 CAD/year (Toronto)

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

Location: Toronto, ON (Toronto Hub) preferred, or San Francisco, CA (SF HQ). On-site, five days a week.

Job Type: Full-Time

Experience: 3+ years

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

Be the first line of technical support across our channels, with a focus on high-value and enterprise accounts
Diagnose API errors, failed scrapes and crawls, blocked sites, authentication problems, rate limits, and unexpected output. Go as deep as you need to, and bring in Engineering when it makes sense
Reproduce issues, escalate confirmed bugs with clear repro steps and full context, and follow up with the customer until it's resolved
Review customer workflows and integration plans, and suggest simple changes that make them more reliable and easier to maintain
Triage a busy queue across Slack, email, and chat. Decide what's urgent, what can wait, and which issues need a human instead of our AI agents, without losing momentum
Understand what the customer is actually trying to do, not just the question they asked, then weigh a quick workaround against a docs fix or a product change
Advocate for customers with Product and Engineering, using what you see in the queue to shape which bug fixes and API improvements get prioritized
Treat every repeated question or manual step as a chance to automate: AI triage, drafted replies, smart routing, account and usage enrichment, and at-risk account alerts
Build lightweight internal tools (debugging scripts, dashboards, agents), simple enough and good enough that others actually use them
Keep our AI support agents sharp: improve their knowledge sources, review where they go wrong, and decide what stays with humans
Write the troubleshooting guides, runbooks, and docs fixes that help customers, and our agents, find answers without opening a ticket
Coordinate handoffs across the support team and time zones, and share what you're seeing and building with Engineering, Product, and Growth

What We're Looking For

You're product-minded. You have good instincts for what customers need and what matters most, and you make good calls on priorities and tradeoffs without being told
You're a pragmatic engineer with strong fundamentals in APIs, HTTP, and debugging, and you write TypeScript or Python. You reach for the simplest solution that works, not the most impressive one
You enjoy talking to customers. You explain technical ideas clearly, ask good diagnostic questions, and know when a customer needs a careful, personal answer instead of an AI-drafted one
You're automation-first. You've built an automation or internal tool that removed real manual work, and you measure yourself by the leverage you create, not the number of tickets you close
You're AI-native. You already use Claude, Cursor, agents, and MCP servers in your daily work, and you think in workflows and tooling, not just tickets
You're autonomous. You spot problems, decide on a plan, and see it through
You can move between a customer escalation, a bug repro, and an automation project in the same afternoon, and nothing gets dropped
You're a good teammate. You share context openly, make handoffs easy, and make the people around you more effective
Bonus if you've worked in a technical customer-facing role (support engineer, solutions engineer, developer support, implementation specialist, or CSE) or supported APIs, SDKs, or other developer tools
Bonus if you understand web scraping, browsers, proxies, or how the web works under the hood, have built with Firecrawl or a similar web data platform, or have shipped LLM-powered workflows in production

What We're NOT Looking For

A ticket closer. If you measure success by volume instead of leverage, this isn't the role
An engineer who'd rather not talk to customers
Someone who reaches for the impressive build when a docs fix would do
Someone who's cautious about working with AI and agents day to day

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: $193,000–$218,000 USD/year (SF) / $166,000–$200,000 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 role excites you. Show us an automation or internal tool you built that got rid of real manual work, or a tricky customer issue you took all the way to the root cause. We care about what you've built, not where you went to school.

Intro Chat (~25 min): A quick conversation to get to know each other before we go deep. We'll talk about 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): Walk us through automations or tools you've actually built: what problem each one solved, why you built it the way you did, and what you'd change now. We'll also talk about how you decide what's worth automating, where AI fits into your workflow, and where a human still needs to be in the loop. Come ready to go deep on your own work. We care how you reason, not whether you have a perfect answer.

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

Paid Work Trial (~40 Hours): Answer real customer support tickets, and build automations and tools that help our support team, paid at a contractor rate. It's the truest signal for both sides.

Decision: We move fast after the trial.

If you'd rather build the system that answers the next hundred tickets than answer them one by one, you should join us.

👉 Apply now.

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More about this job

Responsibilities

The Support Engineer will diagnose complex API issues and provide technical support to high-value customers while building internal tools to automate repetitive tasks. They will act as a technical bridge between users and the product team to prioritize bug fixes and API improvements.

Requirements

Candidates must have 3+ years of experience, strong fundamentals in APIs and debugging, and proficiency in TypeScript or Python. The role requires an automation-first mindset, excellent communication skills, and the ability to work on-site five days a week.

Skills

API troubleshooting
TypeScript
Python
Technical support
Automation
Debugging
HTTP
Customer communication
AI triage
Workflow optimization
Documentation
Data analysis
Web scraping
LLM integration
Problem solving
Cross-functional collaboration

Benefits

Competitive equity
Paid time off
Parental leave
Wellness stipend
Learning and development stipend
Team offsites
Sabbatical
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Virtual care
Mental health support
Fertility and family building support
401(k) plan
Group RRSP
Pre-tax benefits
Snacks and drinks
E-bike transportation

Visa sponsorship

Not detected in the job text

Keywords

Support Engineer
API
TypeScript
Python
Automation
AI agents
LLM
Markdown
Structured data
Web scraping
Debugging
HTTP
Proxies
SDK
Enterprise support
Technical documentation
Runbooks
Slack
Claude
Cursor
MCP servers
Infrastructure
SaaS
Data engineering
Customer success

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