Clad is construction management software for building infrastructure.
We’re looking for a full stack engineer to join the team.
Last year, we 7x’ed revenue and 3x’ed customers. We shipped 3 new products, people use what we’ve built every day to power 10’s of millions of construction, and we’re just getting started.
What's the role?
A product-oriented, full stack engineer.
You'll be responsible for building out every aspect of Clad's product. Ideally, you shape not just the code, but also the direction of the business - informing how we work, the products we build, and the team that we'll assemble to achieve our vision.
The details.
You are a full-stack, product-oriented engineer with a focus on craft, continuous learning, and a whole lot of energy.
Tech stack - full stack TypeScript using React/Remix/Node
Location - in-person in NYC.
About us
~5 years of runway, raised $2.7M from Y Combinator, Better Tomorrow Ventures, and others. Most of it is still in the bank.
4 people - Jason (McKinsey, Instagram), Daniel (Cash App, PagerDuty), Devin (Read AI), and Nikolay (Capital One)
In-person team in NYC
Interested? Reach out and let's chat.
Why Clad
We are in the early innings of a generational upgrade to our country’s infrastructure.
Against the backdrop of enormous demand from AI (data centers, power transmission), expanding renewable energy networks, and insatiable demand for internet bandwidth, our country’s builders are racing to keep up.
But there’s a problem - the tools to handle this demand are inadequate.
Most construction software wasn’t built for infrastructure projects, and industry-specific options are either too hard to use or too narrow to have a real impact.
We’re setting out to change this. Our goal - to build the tools to accelerate infrastructure deployment.
Skills Required
- Full-stack engineering experience
- Product-oriented engineering approach
- TypeScript
- React
- Remix
- Node.js
- Ability to work in person in New York City
What We Do
Clad Labs develops a unified platform for Claude Code, Cursor, and Codex, helping software teams coordinate multiple AI coding agents in parallel. Its platform keeps agent work isolated, compares outputs across tools, and merges clean changes back into a shared codebase. The mission is to help developers move faster, avoid conflicts, and combine the strongest results from several AI development environments.
