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Our client builds the data layer that AI agents actually run on. One API call turns any URL into clean, LLM-ready markdown or structured data — the boring-hard problem every team building with AI eventually slams into, solved for good.
They hit eight figures in ARR in year one, then more than doubled it. 150,000+ GitHub stars and climbing, driven entirely by word of mouth — no paid acquisition, no growth hacks. Over 1.25 million developers and 150,000+ companies build on this platform today. They just closed a Series A led by a top-tier VC firm, with their existing accelerator and a well-known tech CEO angel investor also in the round.
The team is roughly 35 to 39 people. Small on purpose. Hybrid in San Francisco, working shoulder to shoulder with the founder.
Every AI lab, every agent, every model needs clean web data, and that demand isn't slowing down. This team is building the infrastructure that superintelligence will lean on to read and act on the web. You'd be getting in while the category is still being drawn, on a problem that gets more central to AI every single month.
As a Product Engineer, you'll build the thing developers reach for when they need to turn the messy, hostile, constantly-shifting web into clean data and reliable actions an AI can take. This is real product engineering on the company's browser-automation and agent-interaction surface. You ship it, you own it, and it's in front of thousands of developers within days.
Build and ship developer-facing features from idea to production, not backlog tickets, actual shipped product
Own the reliability of what you ship against a web that changes constantly and fights back
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Turn genuinely hard, ambiguous problems into clean APIs developers love using
Sit directly with the engineering team on roadmap calls and the tradeoffs behind them
Dogfood your own product, read the GitHub issues, and let real developer pain, decide what you build next
This is a seat for high-agency builders — people who want to own something end-to-end without layers, committees, or waiting for someone's permission to ship. The single trait that matters most here: you care, personally, about how the product feels to use. Not "it works," it feels right. You read the GitHub issues yourself, and instinctively argue for the developer on the other end of the API, even when nobody's asking you to.
Compensation & Equity
Base salary $235,000–$260,000
Competitive equity, with details shared during the process
Intro Chat (25 minutes)
Technical Chat (50 minutes)
Founders Chat
Paid Work Trial (1 to 2 weeks, approximately 40 hours) — Non-negotiable, paid at your full-time rate.
Offer
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.
Lavendo specializes in sales recruiting for startups and growth-stage companies, connecting them with top sales talent through a dedicated talent network and streamlined hiring process.
Visit company websiteJobs and hiring trendsUSD 235000-260000 / year
Full-time
Mid · 3–8 years experience
Hybrid
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