Engineering Manager (Data Science)

Job details

Work model

Not provided by source

Salary

Not listed by source

Location

Berlin

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 Compensation: €120K – €160K • Offers Equity • • €120K – €160K • Offers Equity Find more English Speaking Jobs in Germany on Arbeitnow

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