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Lavendo
San Francisco, California, United States
Source: Lavendo careers · View original posting
From Lavendo's posting. “We” and “our” refer to the employer.
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
Our client builds the data layer that AI agents run on. One API call turns any URL into clean, structured, LLM-ready data. It's already the default way a huge number of developers pull web data into their AI systems, with over 1.5 million users building on the platform.
The numbers back it up: 8 figures in ARR in year one, more than doubled that in year two, and 180,000+ GitHub stars, putting them in the top 50 repositories of all time. They just closed a $75M Series B to build out a new knowledge library product for AI agents. The company is small, moving fast, and hiring people who want to build the next chapter with them.
The Mission
They believe developers and AI agents shouldn't have to fight the web to get data out of it. Every hour spent maintaining a scraper or babysitting a parser is an hour taken away from the actual product. Their job is to make that problem disappear.
The Opportunity
As a Sales Engineer
, you'll own the technical side of every serious deal: discovery, architecture, demo, POC, start to finish. You'll sit close to the VPs and the founders, so the feedback loop between "customer needs this" and "we're building it" is short. The split runs roughly half pre-sales, half implementation. You see a deal through from the first call to production.
Compensation
Base $143K–$199K, OTE $190K–$265K, 75/25 split. Meaningful equity in a fast-growing, well-funded startup.
8 figures in ARR in year one, more than doubled in year two. 180,000+ GitHub stars, putting them in the top 50 repositories of all time. A developer base of over 1.5 million users showing up before you even start selling to them.
Just closed a $75M Series B. The new capital is funding a major new knowledge library product for AI agents.
~40 people total, real visibility with the founders and leadership. No layers, no committees, fast decisions, short feedback loops.
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
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