CareerOS is a B2B2C career platform serving 100+ top universities worldwide, including Oxford, INSEAD, London Business School, Georgetown, and Notre Dame. We’re a small, high-output team based in Barcelona, operating with American startup intensity. We’re looking for a Product Engineering Intern who’s geeky about coding, loves building prototypes, and wants to ship real AI features that help thousands of students land their dream jobs. This isn’t a typical internship where you work on toy projects. Use Cursor, Replit, v0, and Claude Code to quickly build and test new product ideas. You’ll help teams make data-driven decisions by building the tools they need.
Data engineering and analysis : Write SQL queries to analyze user behavior, build data pipelines, and create activity reports. You’ll work directly with our Postgres database to surface insights that drive product decisions.
Own end-to-end development of focused AI features: recommendation improvements, data analysis tools, automation workflows. You’ll touch frontend (React), backend (Node, Go), database (Postgres),



and AI infrastructure. This is a chance to get broad exposure to modern product engineering.
Currently pursuing undergrad or master’s degree in Computer Science, AI/ML, or related field.
Experience with modern AI coding tools : Strong SQL skills : You’re comfortable writing queries, analyzing data, and building dashboards. You’ve built your own tools, apps, side projects, or participated in hackathons. You code because you love it, not just for assignments.
You can take a loosely defined problem and figure out how to solve it. Fluent English : Experience with Node, Go, or React (our tech stack)
You’ve shipped something to production before (personal project, hackathon, internship)
Familiar with Postgres or other SQL databases
Experience with DevOps, CI/CD, or cloud infrastructure (AWS, GCP)
You contribute to open source projects
Previous startup or fast-paced engineering environment experience
Not a

📌 Product Engineering Internship (España)
🏢 Product
📍 España