What we’re looking for

• 8+ years of professional data science experience, with at least 3+ years in a leadership or managerial role at a top-tier high growth startup, or FAANG level tech company (e.g., Tech Lead, EM, SDM)
• A world-class data science leader with a rare combination of deep technical mastery and proven leadership, who has built and shipped category-defining ML products in high-growth or frontier environments
• A demonstrable history of personally owning and scaling complex ML systems from raw research ideas to reliable, high-impact production deployments
• Exceptional command of Python and applied machine learning, with strong systems-level instincts spanning APIs, data pipelines, ML infrastructure, and production reliability
• A deep, first-principles understanding of LLMs and AI search systems, including the ability to rigorously evaluate, reverse-engineer, and reason about emergent model behavior
• Experience making consequential architectural and modeling decisions in cloud-native environments (preferably GCP), using tools like FastAPI, Docker, and modern data platforms
• Outstanding judgment, communication, and problem-solving ability, with the credibility to set direction, earn trust, and lead through extreme ambiguity

Our Data Science Stack

• Languages: Python, SQL
• Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX
• Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery
• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, and others

Bonus Points

• Widely recognized contributions to open-source projects or foundational ML tooling
• Publicly visible side or research projects demonstrating exceptional technical depth
• Publications or talks at top-tier ML or AI conferences
• Founder experience or senior technical leadership in high-growth startups
• Fluency in TypeScript

What we offer

• A defining leadership role with with real impact and ownership at one of Europe’s fastest-growing Series A startups
• Regular team events and off-sites
• Aggressive equity compensation package
• Paid Uber Eats & Uber home when working late
• The most beautiful office space and work environment in Berlin
• Hybrid (minimum three days in the office)