Technology Manager
Publicado en 2026-02-10
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TI/Tecnología
Analista de datos, Ingeniero de IA
Technology Manager
As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us!
Why eDreams ODIGEOJoin the world's leading travel subscription platform
Millions of customers every year across 44 markets – 5 brands – 7M members in Prime More than 100 million searches per day - Up to 6 billion daily AI predictions Over 1,600 employees – More than 60 different nationalities from all continents – 99% permanent contracts - 36 average age
We're the world’s leading travel subscription platform. We pioneered Prime, the first and largest travel subscription programme, which has topped over 7.7 million members since launching in 2017. Prime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits.
This entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.
We’re looking for an experienced Technology Manager to join our CRM team in Barcelona to bridge the gaps between massive data and fully automated, best-in-class customer communication empowered by AI.
If you are a hybrid professional who understands both the technical side of AI and the complex but high-intent nature of travel marketing we are looking forward to journeying with you.
What you will do:The Role's Key Responsibilities and Tasks
As a Technology Manger within the CRM team you will drive the implementation of AI technologies to analyse data, automate tasks, create contents, personalise customer experiences and optimise all outbound communication.
Working closely with our data scientists you will help the business to understand consumer behavior even more deeply, avoid repetitive work, generate insights for smarter decisions and deliver tailored messages at scale by applying AI applications into key areas such as:
- Data Analysis:
Process massive datasets to find patterns and insights faster than humans. - Personalization & Segmentation:
Create detailed customer profiles for hyper-targeted touchpoints and contextual messaging. - Predictive Analytics:
Forecast trends, customer behaviour and purchase likelihood. - Content Generation:
Create contents for omnichannel message personalisation. - Marketing Automation:
Automate workflows, campaigns, scheduling and customer growth. - Campaign Optimization:
Adjust the AI decisioning framework to hit budgets and improve user engagement.
Job Requirements
- Fluent in English:
Professional proficiency in English (written and spoken) - AI tool domain knowledge:
Comfortable using AI tools such as Gemini, ChatGPT, Copilot (Git Hub) or other AI-powered assistants and their connectivity with Google Workspace. Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities. - Big Query SQL expertise:
Deep understanding of Big Query SQL and 2+ year experience with complex querying and modelling of large data sets. - Analytical & Problem-Solving Mindset:
Ability to extract, interpret, and translate data into actionable insights. Passion for analytical exploration and continuous innovation in methodology. - Team Player & Communicator:
Excellent communication and collaboration skills. You can effectively articulate with both technical and non-technical audiences. - Project management:
Proficiency in coordinating multi-stakeholder work streams and managing deadlines across teams. - Self-Starter & Organized:
You are organized, proactive, and capable of managing your tasks effectively in a fast-paced environment.
- Active use of AI driven customer engagement platforms like Braze, Hightouch…
- Data Engineering proficiencies in designing, building, and optimizing data pipelines.
- Experience in machine and reinforcement learning (ML/RL).
- Familiarity with data visualization via Looker Studio.
- Understanding of ETL/ELT principles and experience with relevant tools.
- Workflow…
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