AI Manager

Job description

¿Cómo será tu día a día en Tuio? You'll embed yourself in different areas of the company and operate part of their processes to understand how decisions are really made: what information is used, what criteria are applied, what exceptions come up and what risks exist. You'll identify where an agent can improve a decision, where human oversight is needed, and where the decision must remain one hundred percent human. You'll design that human-agent orchestration explicitly. You'll own the full cycle of one or several agents: problem exploration, goal definition, building, deployment, measurement and continuous optimisation. You'll design and build agents, defining their instructions, information sources, tools, permissions, workflows and escalation mechanisms. You'll connect agents with internal and external tools through APIs, MCP servers, databases, automations and SaaS platforms. You'll create fast prototypes, test them on real cases, and turn errors and results into concrete improvements. You'll define evaluations and control mechanisms to measure the quality, reliability and impact of the agents on decision quality, productivity and customer experience. You'll work shoulder to shoulder with the business teams where the agents are deployed and with the technical teams across AI, Data and Engineering. You'll work directly with tuio's Head of AI and with the co-founder in charge of AI Deployment . This is a mission-critical role for the company, with visibility and responsibility from day one. During your first months, you'll embed in one of tuio's priority domains. We expect you to: Learn the domain and operate enough of the process to understand its key decisions and exceptions. Identify and prioritise opportunities based on their impact on decision quality, frequency, feasibility, effort and risk. Take ownership of one or two agents, from understanding the problem to a first solution used on real cases. Define a baseline and an evaluation system to measure whether the agents are improving the operation's decisions. Iterate on the solutions based on their errors, metrics and the feedback of the people who use them. The goal won't be to ship a demo, but to prove that an agent improves real business decisions in a way that is measurable, reliable and responsible . Eres lo que estamos buscando si tienes... You're a top performer wherever you go . We don't care about the context: your studies, your job, or even playing a video game. If you do something, you do it to be among the best. You're the person your family turns to when there's a problem to solve . Whatever it is — you make sure it gets solved. You become obsessed with problems : you develop enormous depth in them and don't stop until you've solved them. If that feeling sounds familiar, tuio is your company. You believe AI is going to transform the world and you want to learn to use it in real companies, not just read about it. You love business and have a genuine interest in getting into the technical side: you understand that the best way to deploy AI is to master both worlds. You can turn an ambiguous problem into a first solution, test it fast and improve it based on real results — without needing a fully closed spec to get moving. You know how to work with data and metrics to validate hypotheses, analyse errors and measure the impact of your solutions. You have a high level of Spanish and English. Destacarás si tienes… A track record of outstanding performance in high-demand environments — we don't care which field: it could be strategy consulting, tech-based startups, sports… Experience building agents, automations or internal tools used by real users, from discovery to deployment and measurement. Experience connecting solutions with APIs, MCP servers, databases, internal tools or SaaS platforms . Knowledge of Python, JavaScript or SQL, or experience using AI-assisted development tools to build prototypes autonomously. Experience designing evaluations, monitoring systems or human-in-the-loop mechanisms. Knowledge of the insurance or insurtech industry. ¿Por qué Tuio? Because this is a once-in-a-lifetime opportunity . Very few companies in the world are deploying AI for real — with measurable impact on real decisions — in a traditional industry. tuio is one of them, and you would be at the centre of that deployment, working side by side with the Head of AI and one of the founders. At tuio we believe in end-to-end ownership. Every person is responsible for understanding the problem, proposing a solution, building it, testing it with users and measuring its results. We don't see the people who join us as employees, but as long-term partners in building the company — and we want you to benefit from the value we create together. We prioritise speed and learning, but we don't confuse speed with lack of judgement. We accept technical debt when it helps us validate a hypothesis, and we know when a solution needs more robustness before scaling its scope. Artificial intelligence is not just another tool in our day-to-day: it's a fundamental part of how we build product, operate and improve the company. On top of that, we offer you: Competitive salary based on your experience and expertise. We want to bring in the best talent. Stock options (ESOP): we see you as a long-term partner, not an employee — so part of your compensation comes as equity, letting you share in the value we build together. Flexible schedule: we don't believe in clocking hours from 9:00 to 18:00. We believe in engagement, commitment, and the freedom to organise your time in the way that works best for you and the team. Remote-friendly: although if you feel like coming to the office, we're in Madrid! A growth plan in a fast-expanding company. Working at a company where AI is not a fad , but a fundamental part of how we build product and improve our work every day. Building solutions with real impact: you'll work on real operations and real decisions, not isolated demos. Top benefits: flexible compensation, health insurance, tuio policies, home office equipment, team building events — check out our LinkedIn! — and much more. Proceso de selección If you liked what you've read, apply directly. And if you'd like to tell us more about yourself, write to us at . We'll reach out to get to know each other, and the process will look like this: A conversation with our Head of AI & Data to walk you through the project, the team and the challenges of the role. A video call with our People team — we promise not to ask about your strengths and weaknesses. A conversation with our co-founder in charge of AI Deployment. A practical case where you'll need to understand an operation, identify a decision that can be improved, and build or propose a first agent-based solution. A review of the case with the AI & Data team, covering the decisions you made, the experiments you ran, the metrics and the risks you identified. Welcome to the team!