We build and operate the infrastructure that the entire company relies on to work with data effectively — ingestion infrastructure, a reliable lakehouse, the tooling that data engineers build on top of, and increasingly, AI-powered interfaces (MCP connectors, workflow skills, and integrations) that bring data directly into how people and AI agents get work done across DeepL. Our customers aren't just data teams; they're the whole company.

Scale and lead a multi-team organization spanning Orchestration, Data Engineering, Analytics, and Governance; recruit, mentor, and develop engineering managers and technical leads — and raise the bar on the leaders you inherit. Build the AI-native data platform — a foundation with CDC pipelines, a semantic layer designed for LLM consumption, lineage, freshness SLAs, and a quality framework that makes agent outputs trustworthy by default.

Pioneer AI Data Foundations: Architect the data strategy required to unlock AI capabilities. You will structure and expose usage and business data so we can programmatically build automated, intelligent outputs - such as dynamically generated, data-backed presentation decks for our clients. Own the Business "Single Source of Truth": Partner closely with Finance, Revenue Operations, and Product to define, standardize, and track critical SaaS metrics (e.g., ARR, NDR, Gross Retention, CAC, LTV, Magic Number) via a robust semantic layer.