Engineering Manager (Data Science)

Responsibilities

• Build, mentor, and lead an elite data science team as a player-coach
• Design, train, deploy, and own models powering AI Search recommendations
• Develop novel algorithms to reverse-engineer AI search and LLM behavior
• Own the full ML lifecycle from research and experimentation to production deployment
• Architect scalable data and ML systems, including pipelines and evaluation frameworks
• Write and review production-grade code to set the technical bar

Requirements

• 8+ years of professional data science experience
• 3+ years in a leadership or managerial role at a high-growth startup or FAANG-level company
• Proven history of scaling complex ML systems from research to production
• Exceptional command of Python and applied machine learning
• Deep understanding of LLMs and AI search systems
• Experience with cloud-native environments (preferably GCP) and tools like FastAPI and Docker
• Strong systems-level instincts spanning APIs, data pipelines, and ML infrastructure

Preferred Qualifications

• Contributions to open-source projects or foundational ML tooling
• Publicly visible research projects or publications at top-tier AI conferences
• Founder experience or senior technical leadership in high-growth startups
• Fluency in TypeScript

Benefits

• Aggressive equity compensation package
• Regular team events and off-sites
• Paid Dinner & Uber home when working late
• High-quality office space in Berlin