Engineering Manager (Data Science)

Lead and build an elite data science team while personally designing and deploying the ML models that power Peec AI's search recommendations. You'll take hands-on responsibility for business-critical AI systems while mentoring a team and communicating complex technical concepts to stakeholders.

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 you'll need

• 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
• World-class data science leader with deep technical mastery and proven leadership, who has built and shipped category-defining ML products in high-growth or frontier environments
• 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
• 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

Nice to have

• 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 they offer

• Defining leadership role 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 Uber Eats & Uber home when working late
• Beautiful office space and work environment in Berlin
• Hybrid work model with minimum three days in office