Engineering Manager (Data Science)

About the role

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