About Caddy At Caddy, we’re building software that makes AI feel simple, natural, and useful in the flow of everyday work. Most AI products today are powerful, but they still feel like tools for the technical 1%. Backed by Y Combinator.
About the role
We are a small, high-trust team. Everyone has a lot of ownership, a lot of autonomy, and a lot of responsibility. All current team members are former founders. We’re looking for full-stack engineers who are extremely technical, product minded, and care deeply about craft.
What they're looking for
- You will own large, ambiguous problems end-to-end: choosing the approach, building the system, shipping to users, and iterating based on data and feedback
- Experience with TypeScript
- Systems Builder: You build scalable systems, not vibe-coded features. You think clearly about how problems evolve as usage grows, and you know when to move fast versus when to build the right foundation
- Strong opinions, loosely held: You care a lot about the work and the output. You’re direct, thoughtful, and willing to disagree, but it never gets personal
- Determination: Startups are messy. The hours are not for everyone. You are excited by the intensity required to build something excellent, and you want to help build a generational company
- Product Taste: You care about how the thing feels, not just whether it works. You notice details. You want users to feel like Caddy is simple, useful, and alive
More about this role
Culture
We are a small, high-trust team. Everyone has a lot of ownership, a lot of autonomy, and a lot of responsibility. All current team members are former founders.
We work in person from our SoHo, New York office. We’re deeply bought into the same goal: building a product and company we’re proud to share with our friends, families, and the world.
We work hard. The pace is fast, the problems are messy, and the standards are not for everyone.
The Role
We’re looking for full-stack engineers who are extremely technical, product minded, and care deeply about craft.
- You will own large, ambiguous problems end-to-end: choosing the approach, building the system, shipping to users, and iterating based on data and feedback.
- Caddy sits at the frontier of memory, personalization, and proactive AI. You’ll work on problems that do not have obvious answers yet, from agent reliability, and context retrieval to user trust, integrations, and new interaction models.
- Experience with TypeScript
What we are looking for
- Systems Builder: You build scalable systems, not vibe-coded features. You think clearly about how problems evolve as usage grows, and you know when to move fast versus when to...
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