Engineering Manager (Data Science)
Peec AI · Berlin
What this role requires
2 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX, GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery, English (B2). Worth having, but their absence is not what gets a CV filtered out.
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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
Read the full description (29 more sections)Show less
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
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