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.
About the Company
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.
The Mission
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.
The Opportunity
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.
What You'll Do
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
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
What You Bring
3–8 years of experience in product engineering, shipping browser automation, web scraping, or AI agent tooling to external developers (not internal tools, not consumer-facing apps)
Strong proficiency in TypeScript and Node.js (required), with hands-on depth in Playwright, Puppeteer, browser-use, Stagehand, or Chromium internals
A track record of owning features end-to-end with no PM and no designer, ideally at a sub-200-person startup (Series A through C)
Demonstrated obsession with developer experience — you treat API latency, response format, error messages, and docs as first-class design concerns, not afterthoughts
A bias toward shipping in days, not weeks, with comfort making calls on imperfect data and killing features that don't work
Able to work hybrid from the San Francisco Bay Area
Bonus points if you've got:
Founding engineer, MTS, or infrastructure engineer experience at a DevTools or AI-agent startup
Repeat founder or founder-CEO background with a real shipped product and GitHub traction
Hands-on understanding of how AI agents select and use tools, and what makes prompt-based browser interaction reliable versus fragile
Key Success Drivers
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.
Why Join?
Compensation & Equity
Base salary $235,000–$260,000
Competitive equity, with details shared during the process
Benefits
100% medical, dental, and vision coverage (100% for employees, 50% for spouse/kids)
Employer-paid short-term disability, long-term disability, and life insurance
401(k) plan
12 weeks fully paid parental leave
$1,000/year learning and development stipend
Monthly wellness stipend
Generous PTO plus a 3-month paid sabbatical after 4 years
Pet insurance — Because fur babies are family too
Snacks, drinks, team lunches, intense ping pong, and peak startup energy
A loaner electric bike to get you around the city
Location
Hybrid from the San Francisco Bay Area office, with regular team offsites
Visa Sponsorship Details
Open to visa transfers (e.g., OPT, H-1B transfers)
Interviewing 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.
Compensation Range: $235K - $260K
Originally posted on Himalayas
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Where this listing came from
- 12 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.