<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>7f0a1aea-7d3</externalid>
      <Title>Head of Agent Ops</Title>
      <Description><![CDATA[<p><strong>Compensation</strong></p>
<p>$170K – $215K • 0.01% – 0.2%</p>
<p><strong>Head of Agent Ops</strong></p>
<p>You&#39;ll own the internal AI infrastructure that makes our team unreasonably fast. That means building, evaluating vendors, and continuously evolving the AI systems our team runs on — with the goal of maximizing every person&#39;s clock speed and scaling our ability to deploy agents across the business.</p>
<p><strong>Salary Range:</strong></p>
<p>$170,000–$215,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country’s cost of living. You can explore how we calculate this here: [https://www.firecrawl.dev/careers/compensation](https://www.firecrawl.dev/careers/compensation).)</p>
<p><strong>Equity Range:</strong></p>
<p>Up to 0.20%</p>
<p><strong>Location:</strong></p>
<p>San Francisco, CA (Hybrid); Truly exceptional remote considered.</p>
<p><strong>Job Type:</strong></p>
<p>Full-Time (SF)</p>
<p><strong>Experience:</strong></p>
<p>5+ years or equivalent shipped systems</p>
<p><strong>Visa:</strong></p>
<p>US Citizenship/Visa required for SF</p>
<p><strong>About Firecrawl</strong></p>
<p>Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call.</p>
<p><strong>What We&#39;re Looking For</strong></p>
<p><strong>A technical practitioner, not a theorist.</strong></p>
<p>You understand how models actually work — not just API calls, but attention, context windows, inference tradeoffs, tool use patterns. You read papers. But your first instinct is always to build, not to theorize. You&#39;ve shipped real systems that automate real work.</p>
<p><strong>Someone with battle-tested opinions on AI-assisted development.</strong></p>
<p>You&#39;ve pushed vibe coding techniques far enough to know where they break. You have strong, experience-driven opinions about what works and what doesn&#39;t — grounded in first principles, not hype. You know when to let the model drive and when to take the wheel.</p>
<p><strong>An automation obsessive.</strong></p>
<p>You&#39;ve already automated your own life to a degree that others find somewhat unhinged. You see manual processes the way most people see bugs — something that shouldn&#39;t exist and won&#39;t for long.</p>
<p><strong>Someone who understands the bitter lesson.</strong></p>
<p>You know where the highest-leverage opportunities are because you understand which problems get solved by scale and which don&#39;t. You allocate your energy accordingly.</p>
<p><strong>$10k+/month token budget</strong></p>
<p>(will increase with demonstrated impact).</p>
<p><strong>What We&#39;re NOT Looking For</strong></p>
<p><strong>AI skeptics.</strong></p>
<p>If you think superintelligence is hundreds of years away, this isn&#39;t your role.</p>
<p><strong>Comfort optimizers.</strong></p>
<p>We&#39;re looking for people who seek discomfort and aim to make a difference — not optimize for comfy vibes.</p>
<p><strong>Status chasers.</strong></p>
<p>If you&#39;re here because AI is in the news, you&#39;re not a fit. If you believe we&#39;re at a once-in-a-species inflection point and you want to shape the wave, not just ride it — this is the place for you.</p>
<p><strong>A Note On Pace</strong></p>
<p>We operate at an absurd level of urgency because the window for what we&#39;re building won&#39;t stay open forever. If that excites you, keep reading. If it doesn&#39;t, no hard feelings — but this role probably isn&#39;t for you.</p>
<p><strong>Benefits &amp; Perks</strong></p>
<p><strong>Available to all employees</strong></p>
<ul>
<li><strong>Salary that makes sense</strong> — $170,000–215,000/year (SF, U.S.-based), based on impact, not tenure</li>
</ul>
<ul>
<li><strong>Own a piece</strong> — Up to 0.20% equity in what you&#39;re helping build</li>
</ul>
<ul>
<li><strong>Generous PTO</strong> — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</li>
</ul>
<ul>
<li><strong>Parental leave</strong> — 12 weeks fully paid, for moms and dads</li>
</ul>
<ul>
<li><strong>Wellness stipend</strong> — $100/month for the gym, therapy, massages, or whatever keeps you human</li>
</ul>
<ul>
<li><strong>Learning &amp; Development</strong> \- Expense up to $1000/year toward anything that helps you grow professionally</li>
</ul>
<ul>
<li><strong>Team offsites</strong> — A change of scenery, minus the trust falls</li>
</ul>
<ul>
<li><strong>Sabbatical</strong>— 3 paid months off after 4 years, do something fun and new</li>
</ul>
<p><strong>Available to US-based full-time employees</strong></p>
<ul>
<li><strong>Full coverage, no red tape</strong> — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works</li>
</ul>
<ul>
<li><strong>Life &amp; Disability insurance</strong> — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life&#39;s curveballs</li>
</ul>
<ul>
<li><strong>Supplemental options</strong> — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind</li>
</ul>
<ul>
<li><strong>Doctegrity telehealth</strong> — Talk to a doctor from your couch</li>
</ul>
<ul>
<li><strong>401(k) plan</strong> — Retirement might be a ways off, but future-you will thank you</li>
</ul>
<ul>
<li><strong>Pre-tax benefits</strong> — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit</li>
</ul>
<ul>
<li><strong>Pet insurance</strong> — Because fur babies are family too</li>
</ul>
<p><strong>Available to SF-based employees</strong></p>
<ul>
<li><strong>SF HQ perks</strong> — Snacks, drinks, team lunches, intense ping pong, and peak startup energy</li>
</ul>
<ul>
<li><strong>E-Bike transportation</strong> — A loaner electric bike to get you around the city, on us</li>
</ul>
<p><strong>Interview Process</strong></p>
<ul>
<li><strong>Application Review</strong> – Send us your stuff + a quick note on why this excites you (plus links to things you’ve built).</li>
</ul>
<ul>
<li><strong>Intro Chat</strong> <strong>(~20–25 min)</strong> – Quick alignment call focused on what you’ve shipped, how you think about agents vs workflows, and what you’d automate first at Firecrawl.</li>
</ul>
<ul>
<li><strong>Async Systems Design</strong> <strong>(60–90 min)</strong> – A short, structured design exercise: propose a v1 agent/workflow to eliminate a real internal bottleneck. We’re looking for taste, guardrails, eval/monitoring, and a rollout plan — not a big build.</li>
</ul>
<ul>
<li><strong>Founder Chat</strong> <strong>(~30 min)</strong> – Culture, pace, ownership, and how you like to work. Time for your questions too.</li>
</ul>
<ul>
<li><strong>Paid Work Trial</strong> <strong>(1–2 weeks)</strong> – Test drive the real thing: ship something real, get feedback, and iterate.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>Full time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>Hybrid</Workarrangement>
      <Salaryrange>$170K – $215K • 0.01% – 0.2%</Salaryrange>
      <Skills>AI infrastructure, vendor evaluation, continuous evolution, agent systems, workflow automation, design, evaluation, monitoring, rollout plan, attention, context windows, inference tradeoffs, tool use patterns, vibe coding techniques, automation, scale, energy allocation</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Firecrawl</Employername>
      <Employerlogo>https://logos.yubhub.co/firecrawl.com.png</Employerlogo>
      <Employerdescription>Firecrawl is a small, fast-moving, technical team building essential infrastructure super-intelligence will use to gather data on the web. They&apos;ve hit 8 figures in ARR and 80k+ GitHub stars by building the fastest way for developers to get LLM-ready data.</Employerdescription>
      <Employerwebsite>https://jobs.ashbyhq.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.ashbyhq.com/firecrawl/d8122162-754a-47fb-9ce7-51fdf6320a3f</Applyto>
      <Location>San Francisco, CA (Hybrid)</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
  </jobs>
</source>