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# Product Owner

- **Company:** Tipo De
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Software Quality, Data Integration, Data Integrity, Performance Tuning, Requirements Management, Software Engineering, Api Design
- **Published:** August 20, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ 3 to 4 years' experience as a Product Owner or Business Analyst within an agile delivery team.
 + Strong written specification and requirements documentation skills.
 + Hands-on experience working with APIs and data.
 + Working understanding of evaluating AI-driven features and balancing accuracy trade-offs.
 + Experience writing acceptance criteria for AI-enabled products and services.
 + Strong aptitude for working with data quality and data integrity challenges.
 + Experience using Agile and Scrum methodologies.
 + Exposure to travel disruption management, reservation data, anomaly detection, or alerting systems is highly advantageous.
 + Degree in Technology, Data, or a related field preferred.

## Description

ABOUT THE OPPORTUNITY We're looking for a Product Owner to own our AI- and data-powered disruption early-warning system, designed to proactively identify travel risks before they become problems. This is a hands-on, technically demanding role where you'll work closely with software engineering teams to transform real-time disruption signals into alerts that travellers and operational teams can trust and act on. You'll help shape a product with a genuinely proactive and protective mission, leveraging data, AI, and operational insight to improve customer experiences. If you're passionate about agile product ownership, data-driven decision-making, and delivering meaningful outcomes, this is an exciting opportunity to make a real impact. KEY RESPONSIBILITIES

 + Own and groom the product backlog, ensuring priorities are aligned to real disruption patterns and operational needs.
 + Write user stories and acceptance criteria covering software quality, AI performance, alert accuracy, timeliness, and safe fallback behaviour.
 + Partner closely with the Tech Lead, engineers, and QA teams to validate delivery outcomes and model performance.
 + Manage and reduce alert fatigue, ensuring alerts remain trusted, relevant, and actionable.
 + Drive production readiness, including clear operational guidance for support and operations teams.
 + Lead new alert types and data integrations from pilot phases through to full deployment.
 + Maintain continuous feedback loops with users and stakeholders who receive and respond to alerts.
 + Monitor delivery metrics and model-health metrics, including accuracy, coverage, and timeliness.
 + Identify and escalate model degradation risks early.
 + Translate product strategy and real-world disruption patterns into clear, development-ready requirements.
 + Make sound, informed in-sprint decisions whilst escalating critical issues when required.
 + Contribute to a safe, inclusive, and accessible work environment where all Flighties feel welcomed, respected, and supported to thrive.


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