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Product Engineer
Workwize · Amsterdam, Netherlands
About The Role
Join our team as a Product Engineer, where you'll take ownership of product ideas from conception to launch. You'll work with AI and agents to design, build, test, and ship products, making key product decisions along the way. This is an early-career role, and we value what you've built and how you think over years of experience. Enjoy a dynamic work environment with flexible options, a diverse global team, and a centrally located headquarters in Amsterdam.
- Ownership of product ideas from initial concept to customer use, including rapid prototyping and iteration.
- Utilization of AI and AI tooling to design, build, test, and ship products, while making informed product decisions.
- Collaboration with customers, support, and the product team to identify and prioritize high-leverage features.
- If you get a kick out of taking a rough idea to a working version by the end of the week, putting it in front of real users, and then making it better, you'll feel at home here
- 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've worked in a team. You know how to take feedback, review and get reviewed, and move something forward with other people
- 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 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 have around 1–2+ years of experience and a solid technical foundation. 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 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
- 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
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