Working Student/Intern
About Dataleap
The business world is going through a massive transformation right now. The way organizations operate tomorrow will be very different from today. Humans will setup and control how work is done, inject creativity and steer if necessary. Most of the raw execution will be done by AI. Chatbots are great at automating single person workflows. The real unlock for organizations starts when team and org wide workflows are automated. At Dataleap we are building the underlying engine for team and org wide workflows. Thousands of our agents are running in production at large enterprise companies everyday.
Our values
Intensity
One reason why we started Dataleap is that we want maximum intensity in life. Life is short and we want to live it to the fullest. At a startup there is no brand you can rely on, no other person to do the work for you, it’s just you. Either you figure it out or it doesn’t get done. Intensity doesn’t mean crazy hours. We operate like athletes who value recovery highly.
Curiosity
Many of the problems we are working on have never been solved before. How can agents collaborate on a deliverable? How can a human supervise 10s of agents without missing important decisions? How can an agent be upgraded to a better version without breaking functionality? Finding the right answers requires a high level of curiosity and playfulness.
Kindness
Intensity only works if the people around you are kind. Otherwise it's just pressure. We push hard on the work and we're careful with each other while doing it. A design can be wrong without the person being wrong.
About the role
We are looking for someone who can help us build and maintain integrations. Integrations are the hands and eyes of an agent. Building a simple version of an integration is easy but crafting an integration in a way that our agents become superhuman is very difficult. Every word in the tool description, every system hint and every additional context makes a difference. The work is very tangible. You see your results immediately the next day when agents either performed better or worse using the tools you built.
Tech stack
We like simple & reliable technology.
- Backend: Golang, Postgres
- Frontend: Typescript (vite, no NextJS)
