Product Engineer - AI Infrastructure / Devtools

lavendo; United States; Hybrid; USD 235,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Parental leave

Learning stipend

Wellness stipend

Sabbatical

Electric bike

Job summary

Lavendo is hiring a Product Engineer to build the core browser-automation and AI-agent tooling that developers rely on. You’ll ship end-to-end features, ensure reliability as the web evolves, and translate tough problems into clean APIs used by thousands of developers.

You will sit with the engineering team in a hybrid setup in the San Francisco Bay Area, taking ownership of features with minimal PM input and strong focus on developer experience.

Qualifications

• 3–8 years of experience in product engineering, shipping browser automation, web scraping, or AI agent tooling to external developers.
• Strong proficiency in TypeScript and Node.js (required).
• A track record of owning features end-to-end with no PM and no designer, ideally at a sub-200-person startup (Series A–C).
• Demonstrated obsession with developer experience—latency, response format, error messages, and docs as first-class design concerns.
• 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.

Responsibilities

• 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.

Skills

TypeScript

Node.js

Browser automation

Web scraping

Developer experience

Tools

Playwright

Puppeteer

Chromium internals

Stagehand

Job description

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.

We are proud to be an equal opportunity workplace and consider all qualified applicants