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Engineering Manager (Data Science)

Peec AI· Engineering
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Berlin€120k - €160kFull-timePosted 3mo ago

About the role

Leadership role overseeing a data science team, responsible for designing, training, deploying and maintaining ML systems powering Peec AI’s AI Search, and driving end-to-end ML lifecycle, from research to production.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:PythonApplied machine learningSystem design for MLCloud-native environments (GCP)Communication

Benefits

  • A 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 Dinner & Uber home when working late
  • The most beautiful office space and work environment in Berlin
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Peec AI

AI Search Analytics for Marketing Teams

Peec AI helps marketing teams analyze brand performance across ChatGPT, Perplexity, and Gemini. Track visibility, benchmark competitors, and optimize AI search presence.

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