Engineer, Product Engineering

Do you want to help us redefine how AI powers the future of Business Management software, not as an add-on, but as a core part of how people work, decide and grow?

Are genuinely curious about AI and excited to build with it, not just around it.

As a Product Engineer you'll help us support and scale our AI Business Management Software across different domains. We’re on the lookout for people who get involved beyond the ticket, curious about why a feature exists, not just how to build it. If you love solving hard problems and want to build something that truly matters, come build it with us.

We're a team of 200+ Product Engineers building Business Management solution that actually works for the people using it. Our core stack is Ruby on Rails and React but the interesting work right now is what we're building on top of that: agentic workflows, LLM-integrated features, systems that behave probabilistically rather than deterministically.

You'll work on a product used by thousands of companies across Europe, so your work has real, measurable impact. You'll be in the middle of some genuinely new engineering territory: AI-native product development, not retrofitted AI. You'll grow alongside a strong, experienced team that takes craft seriously!

You have 1 to 4 years of experience in Software engineering and you're comfortable working across the stack. You're curious about AI and have started exploring it, whether in side projects, coursework, or on the job. You want to know if the thing you built actually helped, and you're willing to go back and fix it if it didn't.

You're comfortable, or eager to get comfortable, with Ruby on Rails and React .

You communicate clearly and can explain what you're building and why without overcomplicating it.

And you're a collaborative teammate : you ask for help when you need it and share what you learn.

You'll ship features end to end, from understanding the problem to writing the code to checking whether it worked in production.

Barcelona or Madrid Office)

That’s why our Engineering Teams follows an office-first, flexible approach .

However, we also understand the importance of focus and flexibility, so we support remote work when it makes sense - whether for deep work, personal needs, or just a change of scenery.

This balance helps us stay agile, creative, and closely connected, while giving everyone the space to do their best work.

Intro Call → Chat with our Talent Partner about your journey and goals.

Final Coffee Chat → A relaxed conversation with our CTO & VP of Engineering to explore our vision, culture, and your growth.

The whole process is remote, using videoconferencing tools!

Generic AI can answer questions, but it doesn’t know your company. Every time, you have to give it the context.

Because it’s inside the company, it already knows how it works, including its people, processes, policies, and data. So you can ask it to do real work, from screening candidates and managing expenses to answering questions and creating reports.

We own it : We take responsibility for every project. We're dedicated to learning something new every day and, above all, share it.

Alan](Alan) as private health insurance

• Save expenses with [Cobee](Cobee)
• Breakfast in the office and organic fruit