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Engineering Manager (Data Science)

peec

Berlin Full-time€120k–€160k / year Posted 3w ago
Market rate. This role pays around the €115k median for similar EUR roles (13 comparable postings in our corpus).
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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

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