[Hiring] AI Manager @Tuio

Role Description

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
• 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.

• Own the full cycle of one or several agents: problem exploration, goal definition, building, deployment, measurement and continuous optimisation.
• Design and build agents, defining their instructions, information sources, tools, permissions, workflows and escalation mechanisms.
• Connect agents with internal and external tools through APIs, MCP servers, databases, automations and SaaS platforms.
• Create fast prototypes, test them on real cases, and turn errors and results into concrete improvements.
• Define evaluations and control mechanisms to measure the quality, reliability and impact of the agents on decision quality, productivity and customer experience.
• Work shoulder to shoulder with the business teams where the agents are deployed and with the technical teams across AI, Data and Engineering.
• 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.

Qualifications

• You're a top performer wherever you go.
• You're the person your family turns to when there's a problem to solve.
• You become obsessed with problems.
• You believe AI is going to transform the world.
• You love business and have a genuine interest in getting into the technical side.
• You can turn an ambiguous problem into a first solution, test it fast and improve it based on real results.
• 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.

Requirements

• A track record of outstanding performance in high-demand environments.
• 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.

Benefits

• Competitive salary based on your experience and expertise.
• Stock options (ESOP): part of your compensation comes as equity.
• Flexible schedule: freedom to organise your time in the way that works best for you and the team.
• Remote-friendly: office located in Madrid.
• A growth plan in a fast-expanding company.
• Working at a company where AI is a fundamental part of how we build product and improve our work every day.
• Building solutions with real impact: work on real operations and real decisions.
• Top benefits: flexible compensation, health insurance, home office equipment, team building events, and much more.

Selection Process

If you liked what you've read, apply directly. And if you'd like to tell us more about yourself, write to us at [email protected].

• 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.
• 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.

Welcome to the team!