Revenue Operations Lead

Revenue Operations Lead

You’ll architect the revenue systems that let Firecrawl scale without breaking. We're growing fast, and the difference between a company that scales cleanly and one that drowns in operational chaos is the revenue infrastructure underneath it: the CRM architecture, the funnel instrumentation, the lifecycle systems, and the reporting that tells us the truth about pipeline and revenue. This is a builder’s role, not a maintainer’s.

You’ll own that infrastructure end to end and design the systems that carry us from where we are now to the next order of magnitude. You’ll report to our VP of Revenue and Success and own the revenue‑systems function from day one.

Salary Range: $190,000-$240,000/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.)

Equity Range:
Competitive equity — details shared during the process.

Location:

San Francisco, CA;
Miami, FL;
Boston, MA;
London, UK

Job Type: Full‑Time

Experience:

4+ years in revenue operations or GTM systems, with hands‑on ownership of CRM architecture and revenue data

Visa:
Must already be authorized to work in the US or our eligible remote‑hire regions. We’re not able to sponsor visas right now, though that may change down the line.

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+ Git Hub 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.

• Own and architect our CRM as the source of truth for revenue data, designing the system, not just operating inside one someone else built.

• Instrument the full funnel end to end: lead to opportunity to customer, with attribution that actually holds up.

• Build the lifecycle systems that move prospects and customers through stages cleanly, including handoffs and the automation that makes them work.

• Own revenue tracking and reporting: build the dashboards and data models from raw data that give the team and founders real‑time truth on pipeline, usage, churn, and expansion.

• Design the revenue infrastructure to scale with us as we grow toward the next order of magnitude in ARR.

• Partner with the VP of Revenue and Success, product, and finance on the systems and data that drive go‑to‑market decisions.

• A technical GTM systems architect, not a growth generalist. You’ve designed CRM systems and revenue infrastructure from the ground up, and your first instinct is to look at systems and data flows, not tactics.

• Hands‑on with revenue data. You can pull, model, and structure data yourself, SQL or equivalent, and build reporting that the team trusts to make decisions. You don’t wait for a data team.

• You’ve instrumented funnels end to end. Lead‑to‑customer tracking with real attribution, not a dashboard someone else set up that you just read.

• You’ve built lifecycle and revenue‑tracking systems that drove real motion. Not advised on them, built them, at a company that was scaling.

• You move fast and own outcomes. You’d rather ship a working system and iterate than design the perfect one on paper.

Backgrounds that tend to do well: founding or early Rev Ops hire at a SaaS, API‑first, or PLG company;
Rev Ops Lead/Manager or GTM Operations who owned CRM architecture and the revenue data layer; someone who built the revenue‑systems function 0‑to‑1 as a company…