Intern Product Engineer (Artificial Intelligence)

• Turning a problem into a working prototype fast, then hardening the ones that prove their worth into production features
• Using agents and AI tooling to design, build, test, and ship, and knowing exactly where to trust the output and where to check it yourself
• Making product calls, not just taking tickets. You’ll decide what’s worth building, what to cut, and what “good enough to ship” looks like
• Setting up the evaluation and monitoring that tells you whether what you shipped is actually working once it’s live, then iterating
• Working directly with customers, support, and the rest of the product team to find the highest-leverage thing to build next

Benefits

• Dynamic Work Place: Work flexibly with hybrid and remote options, plus the ability to work from anywhere for up to four weeks each year.
• Diverse, Global Team: Collaborate with a diverse team across cultures, unified by English, and anchored by our Amsterdam headquarters.
• Heart of Amsterdam: Enjoy the centrally located headquarters in Amsterdam with scenic views of the iconic canals.
• Monthly Team Events: Connect and celebrate with regular team events, meet-ups, and milestone celebrations in Amsterdam..
• Time to Recharge: Take advantage of vacation policies tailored to your region, ensuring work-life balance wherever you are.
• Home Office Budget: Receive a MacBook and a home office budget to ensure you’re set up for success anywhere.- You’ve actually built and shipped things. Side projects, internships, a first job, hackathon wins, small tools people use. You can point to them and walk us through the choices you made
• You use AI and agents as your default way of working, and you keep up as the tools change. You treat a model like a fast but unreliable teammate whose work you always check
• You have real product sense for someone early in their career. You can look at a half-formed request and see the job to be done, and you have taste about what makes something good to use
• You move fast and take ownership. You’d rather ship something small and learn than plan something big and wait. You’re direct, curious, and happy to challenge how things are done. That fits how we work
• You understand how software systems fit together, how data flows, and why things break. You don’t need to be the strongest raw coder in the room, but you can read, reason about, and debug what you and your agents produce
• You’ve worked in a team. You know how to take feedback, review and get reviewed, and move something forward with other people
• A first role or internship at a SaaS or product company
• Side projects or small products you built mostly on your own and got into people’s hands
• Any hands-on experience running evals, watching inference cost, or dealing with model failure modes like hallucination. If you don’t have this yet, we’ll teach you