Engineering Manager (Data Science)

Job description

WHAT YOU’LL DO - Build, mentor, and lead an elite data science team as a trusted, empathetic player-coach, while clearly communicating complex technical ideas to executives, customers, and partners - Personally design, train, deploy, and own the models that power Peec AI’s AI Search recommendations, taking hands-on responsibility for our most business-critical ML systems - Develop and ship novel algorithms that reverse-engineer AI search and LLM behavior, turning deep technical insight into durable, customer-facing product advantages - Own the full ML lifecycle end-to-end — from first-principles research and rigorous experimentation to production deployment, monitoring, and continuous improvement - Architect and evolve scalable data and ML systems, making high-leverage decisions across data pipelines, modeling approaches, evaluation frameworks, and model serving - Write and review production-grade code at an exceptional standard, setting the technical bar for the entire organization 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 Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin