Engineering Manager (Data Science)

About Peec AI

Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.

We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.

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