Head Data & AI

About our Head of Data & AI

Join our Data Science team and become a key part of our product squads, delivering features that enrich our product and uphold the first-class experience we're known for. As a Head, you will balance hands-on technical work with managerial responsibilities, having the opportunity to make a significant impact through both technical excellence and strategic leadership. You will drive high-impact projects, mentor team members, and play a crucial role in shaping the technical direction of our data science and machine learning solutions.

On top of being a great Head of Data & AI, we expect you to:

• Manage a team of Data Scientists and Machine Learning Engineers, fostering a high-performance culture and continuously raising the bar for technical excellence.
• Act as a technical reference for the team, architecting, developing, and deploying machine learning systems to production when needed.
• Discuss business requirements with Product Managers and other senior leaders to align data strategy with business goals.
• Guide the team in designing and executing experiments, ensuring robust analysis of structured and unstructured data to improve current models.
• Focus on recruiting great talent and helping them grow through regular performance feedback and development opportunities.
• Set clear goals and objectives for the team and ensure they are aligned with the overall business objectives.
• Advocate for the value of data and AI within the organization and foster a data-driven culture.

What we are looking for:

• You have a proven track record of leading teams and managing careers within the data field for at least 4 to 5 years.
• Deep understanding of machine learning concepts, including regression, classification, clustering, neural networks, cross-validation, and model explainability.
• Strong knowledge of probability and statistics, including experimental design, optimization, and causal inference for A/B testing.
• Solid understanding of the engineering challenges required to deploy and maintain machine learning systems in production.
• Proficiency in Python and experience with software engineering best practices.

You'll stand out if you:

• Have experience building solutions with Large Language Models (RAG, fine-tuning) and developing AI agents or agentic frameworks (LangGraph, LangChain).
• Hold an MSc. or PhD in Computer Science, Statistics, or a relevant technical field.
• Have solid experience with Deep Learning and NLP techniques.
• Have experience working in fast-growing startups or high-tech companies.
• Excellent written and verbal communication skills in English are mandatory.