About the Position

Hello!

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?

We’re looking for engineers who:

Are genuinely curious about AI and excited to build with it, not just around it.
Want to ship real things and learn fast, not wait until they feel "ready."
Care about whether what they built actually helped, not what their title says.

Ready to be part of the challenge? 🚀

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. Someone who asks questions, digs into the problem, and takes ownership of the outcome. This is not a maintenance role. We're moving fast, our domains are expanding, and there's real engineering work to do.

About the Team 👥

Our Engineering team is the engine behind Factorial, crafting the tech that makes our AI reliable for thousands of companies. 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!

Responsibilities

Ship features end to end, from understanding the problem to writing the code to checking whether it worked in production.
Work alongside experienced engineers on AI-integrated systems: LLM-powered workflows, agentic features, and tools that help Finance teams move faster.
Learn how to evaluate AI features in production, not just build them, because reliability and user impact matter more than model complexity.
Take real ownership of your work. That means being curious about the "why," not just the "how." And you'll grow fast. This is a team that moves quickly, shares knowledge openly, and expects you to level up.

Requirements

1 to 4 years of experience in Software engineering and you're comfortable working across the stack. You don't need to have all the answers, but you ask good questions and follow through.
Curious about AI and have started exploring it, whether in side projects, coursework, or on the job. You want to understand how these systems actually work, not just use them.
Care about outcomes. 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.
Comfortable, or eager to get comfortable, with Ruby on Rails and React.
Communicate clearly and can explain what you're building and why without overcomplicating it.
A collaborative teammate: you ask for help when you need it and share what you learn.

Nice to Have

Experience with other AI technologies or frameworks.

We Offer

Competitive salary: €30,000 - €42,800 Annual
Full-time position
Office-first, flexible approach with on-site and remote work options
High growth, multicultural and friendly environment
Alan as private health insurance
Healthy life with Wellhub (Gyms, pools, outdoor classes)
Save expenses with Cobee
Language classes
Breakfast in the office and organic fruit
Food discounts with Nora
Pet Friendly
And much more that we'll share during the interview process!

About the Company

Factorial is the AI for Business that knows companies, connects how work happens across the business, and turns that context into action.

Founded in Barcelona in 2016, we now have +1,700 employees serving more than 16,000 companies across 112 countries.

Factorial started with a simple idea: companies were spending too much time managing processes and not enough time doing the work they were hired to do: their best work.

But as companies grow, work gets more disconnected. More people, more tools, more information, and more time spent connecting the dots. Generic AI can answer questions, but it doesn’t know your company. Every time, you have to give it the context.

Factorial is different. 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.

AI isn’t the goal. Giving people back their time is.

When work changes, so do we.

We believe in diverse talent: we welcome applicants from all backgrounds and strongly encourage people of diverse experiences and identities to apply.

We believe in inclusion: we are committed to equal opportunities and actively promote workplace inclusion of people with disabilities. If you would like to learn more about our inclusive recruitment processes, you are welcome to indicate so optionally and we will share additional information with you.

Our Values

We own it: We take responsibility for every project. We make decisions, not excuses.
We learn and teach: We're dedicated to learning something new every day and, above all, share it.
We partner: Every decision is a team decision. We trust each other.
We grow fast: We act fast. We think that the worst mistake is not learning from them.

Wanna learn more about us? Check our website!

Apply Now

Apply now

Build my own jobs page

Product Engineer

Job description