Technical BDR

TECHNICAL BDR

You'll open Firecrawl's outbound motion: finding, engaging, and qualifying the engineers, data scientists, and AI/ML leads who need to turn messy web data into structured, LLM-ready output. This isn't a volume BDR seat. You'll combine real technical fluency with relentless outbound execution to open doors that only someone who speaks the buyer's language can open. You'll report to our VP of Revenue and Success, and you're measured on qualified pipeline created, not emails sent.

Salary Range: $130,000–$190,000 USD/year OTE

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

Location: San Francisco, CA (SF HQ). On-site, five days a week.

Job Type: Full-Time

Experience: 3+ years in a technical role (engineering, developer relations, solutions, or technical founding) with a pull toward the commercial side

Work Authorization: Must be authorized to work in the United States. We're not able to sponsor US visas right now, though that may change down the line.

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 183k+ 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. That library is called Alexandria, and it starts now.

WHAT YOU'LL DO

- Own outbound pipeline: Research and target engineering teams, AI startups, and data-heavy orgs that need web extraction at scale. Build sequences that land because they're technically relevant, not generic

- Speak their language: Engage prospects on their terms. Reference their stack, understand their scraping pain, and articulate how Firecrawl's API solves problems they've been duct-taping around

- Qualify with depth: Run discovery calls that go beyond BANT. Understand the technical use case, map the decision-making process, and hand off deals to AEs with context that accelerates close

- Run live technical intros: Demo the product on first calls when it makes sense. You don't need to be a solutions architect, but you should be able to show a prospect how a simple API call turns a URL into clean data

- Feed product intelligence: Surface patterns from the field (what prospects are building, what's blocking adoption, what competitors are doing) and relay it to Product and Engineering

- Iterate relentlessly: Test messaging, channels, sequences, and personas. Treat outbound like a product: measure, learn, ship improvements

WHAT WE'RE LOOKING FOR

- Engineer-first, BDR-second. We can teach you sales. We can't fast-track deep technical intuition. You've spent at least a few years in a technical seat (shipping code, supporting developers, building a product, or running your own outbound as a technical founder) and you're drawn to the commercial side of technology

- Technically fluent. You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You've built things, even if they're small

- Urgency is your default setting. You don't wait …