About Cloud Studios
Cloud Studios is a Berlin-based AI-native product studio. We build focused digital experiences, validate them with real users and develop the strongest ideas into independent businesses.
Our current priority is a managed service and platform helping companies understand and improve how they appear across AI search and recommendation platforms such as ChatGPT, Perplexity, Gemini and Claude.
We are a small team, so you will work close to the product, customers and commercial decisions. You will not spend your internship sitting on the sidelines or working through meaningless tickets.
We are looking for someone who enjoys building with AI. You will work directly with the founder to design, build and improve real product features using Claude Code and other AI-assisted development tools, taking meaningful ownership of clearly defined features from understanding the problem through prototyping, testing and release, with regular guidance and review from the founders.
Day to day, you will:
Your initial focus will be this product rather than a collection of unrelated side projects.
You do not need to meet every requirement, and you do not need a traditional computer-science background. You might come from product, design, UI/UX, software engineering, business or something completely different. What matters is that you are curious, resourceful, comfortable figuring things out and care about the quality of what you ship.
You should:
Experience with Claude Code, APIs, databases, Figma or automation tools is useful, but not required.
You will learn:
You will also walk away with real, shipped work you can point to, not a folder of assignments nobody will ever look at. Strong performance may lead to an ongoing role as a working student, or a future Venture Associate as Cloud Studios grows.
Practical details:
Sound like the internship you actually want? Skip the generic cover letter. Send us a short introduction, something you've built, whether you're applying for a mandatory or voluntary internship, and your preferred start date and weekly availability.