Remoto: Teletrabajo

Hello!Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora.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?At Factorial we're looking for a Product Engineer to help us build and scale our AI- Driven Talent Domain to the next level. As part of this team, which is in charge of providing tools to managers and HR managers in the areas of recruitment, performance, engagement, and trainings, you'll be at the forefront of developing tools and help to improve the way companies take care of their people, their most valuable asset.Ready to be part of the challenge?About the teamOur 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.The mission of our Talent Domain is to help companies develop their employees, keeping them engaged and delighted at the same time, helping the company’s teams become the best versions of themselves.To do this, we provide tools to managers and HR managers in the areas of recruitment, performance, engagement, and trainings. But we know there is space for more! That's why we need talented people to go faster.What are we 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 stay current: RAG patterns, agentic frameworks, what's actually working vs. what's hype and you apply that judgment to real product decisions.- 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.What You’ll Be Doing?- 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 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, adaptable schedule.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.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.Our Hiring Process1.



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 FactorialFactorial 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! xcgbitx Perks of being part of our teamWe care about people and we also offer a lot of benefits for employees:- 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- Nora discounts- Free caffeine and theine- Pet Friendly- Much more that we'll spill during the interview process!

📌 Senior Product Engineer - Talent Domain (Barcelona)
🏢 Factorial
📍 Barcelona