Catalog is building environments that help push frontier intelligence forward. We work on how AI systems learn from experience and become capable of increasingly complex, useful work.
Our focus is reinforcement learning and post-training. Better environments and feedback can unlock new capabilities, and we want to help define what the next generation of AI can do. The work is early, the questions are open, and there is room to make a lasting contribution.
RoleAs a Founding Engineer, you’ll work across research and engineering to turn ambitious ideas into working systems. You’ll help decide which problems matter, explore new approaches, and build the foundations of Catalog.
You’ll have meaningful ownership over the technical direction, product, and engineering culture, working closely with the founders from the earliest stages.
What you’ll doTake on open-ended problems at the intersection of AI research and engineering.
Build systems that help models learn, improve, and perform more reliably.
Move between experiments, prototypes, and production as the work evolves.
Help shape our technical approach and the team we build around it.
Have strong engineering instincts and a track record of building things that work.
Are deeply curious about intelligence, how models learn, and what they could become capable of.
Enjoy ambiguous problems and can turn an idea into something concrete.
Move quickly, think independently, and care about the quality of your work.
Want high ownership in a small, ambitious team in San Francisco.
Experience with AI agents, machine learning, reinforcement learning, or post-training.
Built early products, research tools, or technical infrastructure.
Research, open-source contributions, or independent projects that show how you think.
Small team, high trust, high intensity. We bias to in-person collaboration in North Beach, San Francisco. We debate, decide, and ship.
If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
Skills Required
- Strong engineering instincts and a track record of building things that work
- Curiosity about intelligence, how models learn, and their potential capabilities
- Ability to work on ambiguous problems and turn ideas into concrete systems
- Ability to move quickly and think independently
- Experience with AI agents, machine learning, reinforcement learning, or post-training
- Experience building early products, research tools, or technical infrastructure
- Research, open-source contributions, or independent projects demonstrating technical thinking
What We Do
Catalog is the bridge between retailers and AI shopping agents, transforming product pages into structured objects that models can understand, rank, and buy from across any platform.
