Engineering Manager (Data Science)

What you’ll do

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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

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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

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Develop and ship novel algorithms that reverse‑engineer AI search and LLM behavior, turning deep technical insight into durable, customer‑facing product advantages

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Own the full ML lifecycle end‑to‑end — from first‑principles research and rigorous experimentation to production deployment, monitoring, and continuous improvement

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Architect and evolve scalable data and ML systems, making high‑leverage decisions across data pipelines, modeling approaches, evaluation frameworks, and model serving

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Write and review production‑grade code at an exceptional standard, setting the technical bar for the entire organization

What we’re looking for

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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)

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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

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A demonstrable history of personally owning and scaling complex ML systems from raw research ideas to reliable, high‑impact production deployments

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Exceptional command of Python and applied machine learning, with strong systems‑level instincts spanning APIs, data pipelines, ML infrastructure, and production reliability

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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

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Experience making consequential architectural and modeling decisions in cloud‑native environments (preferably GCP), using tools like FastAPI, Docker, and modern data platforms

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Outstanding judgment, communication, and problem‑solving ability, with the credibility to set direction, earn trust, and lead through extreme ambiguity

Our Data Science Stack

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Languages: Python, SQL

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Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX

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Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery

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AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, and others

Bonus Points

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Widely recognized contributions to open‑source projects or foundational ML tooling

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Publicly visible side or research projects demonstrating exceptional technical depth

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Publications or talks at top‑tier ML or AI conferences

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Founder experience or senior technical leadership in high‑growth startups

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Fluency in TypeScript

What we offer

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A defining leadership role with real impact and ownership at one of Europe’s fastest‑growing Series A startups

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Regular team events and off‑sites

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Aggressive equity compensation package

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Paid Uber Eats & Uber Home when working late

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The most beautiful office space and work environment in Berlin

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Hybrid (minimum three days in the office)