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Senior Product Engineer - Finance Domain

On-site in Barcelona·Full-time·Added over a year ago

First posted a year ago, still open when we checked on 9 Oct

Factorial

117 open roles

Overview

Job details

  • €60,500 - €77,000 a year

    Gross, as stated in the ad.

    About €3,480 - €4,280 a month after tax, or €3,510 - €4,560 under the Beckham regime.

  • Permanent contract

    Full-time.

  • Blue Card threshold

    Indicative — the ad doesn’t promise sponsorship.

Requirements

  • Work in English

    English is required, per the ad.

  • Work on-site in Barcelona

    No relocation package mentioned.

  • Have 4+ years of experience

    Mid-level role.

Benefits

  • Private health insurance

    Per the ad: paid by the employer, or taken through flexible pay.

  • Gym access

    Free or discounted, per the ad.

Skills

Requirements

What we're looking for

  • You've shipped AI-powered features and know that evaluating them in production is the hard part, not building them. You think about reliability and user friction before model complexity.

  • You're comfortable reviewing agentic workflows and have opinions about LLM architecture tradeoffs. Not just theoretical ones.

  • You treat AI features as hypotheses. Build, deploy, measure, adjust. You own that whole loop, not just the build part.

  • You can break down non-deterministic outputs into something the rest of the team can reason about and act on.

  • You're comfortable working with Ruby on Rails & React and understand how to integrate AI models into scalable, cloud-native environments.

  • You help teammates who are transitioning from deterministic to probabilistic thinking, not by lecturing, but by working through it together.

  • 4+ years in software engineering, with some track record (or serious curiosity) around shipping AI features.

  • You can explain a complex technical decision in English to someone who doesn't write code clearly, without condescension.

Pay & benefits

What you'll get

We use our Career Path with a rubric framework where we define what is expected for each experience level and skill. This framework allows you to know your current level and what you need to keep growing. We love transparency, so our Career Path includes the salaries for each level, which we share during the first interview to ensure alignment.

  • High growth, multicultural and friendly environment

  • Competitive ESOP plan

  • 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

  • Much more that we'll spill during the interview process!

The role

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:

  • Treat AI as central to their craft, not a feature to bolt on later

  • Want to build and ship, not debate and document

  • Care about whether the thing they built actually worked - 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- Driven Finance Domain to the next level. Someone who gets involved from problem definition through to measuring whether the thing shipped actually helped, not someone who picks up a ticket, writes the code, and moves on. We want people who are curious about why a feature exists, not just how to build it.

This is not a maintenance role. We're moving fast, the domain is expanding, and there's real engineering work to do.

What you'll do

  • You'll spend more time designing systems than writing syntax. That means breaking down complex tasks, defining architecture, and writing high-level prompts that instruct multi-agent systems to generate the underlying code.

  • You review and validate what the agents produce. Security, scalability, structure - that responsibility sits with you, not the model.

  • You'll work on orchestrating multiple AI agents running in parallel, keeping them in sync and making sure the output is coherent across the whole feature.

  • There's no established playbook for a lot of this. You'll define your own workflows, experiment, and share what works - because the team moves fast enough that information silos are a real risk.

How you'll work

How We Work 💻 (Barcelona or Madrid Office)

At Factorial, we believe the best products are built when people come together, in person to collaborate, challenge ideas, and move fast. That's why our Engineering Teams follows an office-first, flexible approach.

We work on-site several days a week, using that time to connect, align, and innovate as a team. 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.

At Factorial we don't evaluate you by years of experience but by your knowledge and skills.

Hiring process

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

  2. Hiring Manager Interview → Deep dive into your product mindset, teamwork, and problem-solving.

  3. Live Challenge → A collaborative technical exercise based on real-life problems.

  4. 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!

About Factorial

Factorial is a Barcelona-based software company that provides an all-in-one human resources management platform for small and medium-sized businesses. Its cloud-based solution covers HR administration, payroll, time tracking, talent management, and expense management, helping companies digitize and automate their HR processes. Founded in 2016, Factorial has grown rapidly and now serves thousands of customers across Europe, the Americas, and Asia, with a workforce of over 800 employees.

Factorial's headquarters and main engineering hub are in Barcelona, making it a key player in Spain's vibrant tech ecosystem. The company has a strong international presence with offices in Mexico City, São Paulo, and other cities, and its workforce is highly diverse, with employees from over 30 nationalities. For international professionals, Factorial offers a dynamic, fast-paced startup culture, opportunities to work with a global team, and the chance to contribute to a product that is reshaping HR for SMBs worldwide. The company is known for its flat hierarchy, agile work environment, and commitment to employee growth.

Industry
HR Software
Founded
2016
Employees
1,000–5,000
Headquarters
Barcelona, Spain
In Spain
Barcelona

Good to know if you are moving

  • Factorial is headquartered in Barcelona, a top European tech hub with a high quality of life and a large international community.
  • The company has a diverse, multicultural team with employees from over 30 nationalities, making it welcoming for international hires.
  • Factorial offers a hybrid work model, allowing flexibility between remote and office work, which is attractive for relocating professionals.
  • The company provides relocation support and visa sponsorship for qualified candidates, easing the transition to Spain.
  • Factorial has a strong focus on employee development, with opportunities for growth in a fast-scaling startup environment.

In their own words

About the company & team

Our Engineering team is the engine behind Factorial, crafting the tech that makes HR simple, fast, and 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.

Finance is one of the fastest-growing domains at Factorial. Its mission is to be the financial backbone of the companies we serve, handling everything from expenses and invoices to payments, cards, accounting, and analytics so that teams can stop chasing paperwork and processes and focus on the decisions that actually move their business. Where we're going is more ambitious. We're building an AI platform that does the work for you: instead of processing invoices, you oversee a system that reconciles them, negotiates amendments with vendors, and closes out the payment cycle on its own. We're extending our banking-as-a-service platform so companies don't just pay with cards and transfers but also get paid, through products like accounts receivable. And we're turning Finance into an engine for cost reduction: planning headcount, policing spend, catching anomalies in invoices and contracts before money goes out, and surfacing the true cost of projects to protect margins. It's a domain where the work has a direct, measurable impact on every company that uses us and where there's a lot still to build!

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.

Additional information

  • 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!

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