Engineering Manager (Data Science)
Peec AI
Engineering Manager (Data Science) at Peec AI is a full time role based in Berlin, State of Berlin, Germany. Listed skills: Engineering. It was published on 4 August 2026 and was open at last check.
| Role | Engineering Manager (Data Science) |
|---|---|
| Company | Peec AI |
| Location | Berlin, State of Berlin, Germany |
| Employment type | Full Time |
| Skills listed | Engineering |
| Published | 4 August 2026 |
| Status | Open at last check |
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
Compensation: €120K – €160K • Offers Equity
- €120K – €160K • Offers Equity
Create your free OnJob profile to apply — we'll take you to Peec AI's application after sign-up. · Posted 4 Aug 2026.
Engineering Manager (Data Science) at Peec AI — questions answered
What does the Engineering Manager (Data Science) role at Peec AI pay?
Peec AI does not publish a salary on this Engineering Manager (Data Science) listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Engineering Manager (Data Science) role at Peec AI based?
Peec AI lists this Engineering Manager (Data Science) role in Berlin, State of Berlin, Germany, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Peec AI before you apply.
What skills does the Engineering Manager (Data Science) role at Peec AI require?
The Engineering Manager (Data Science) at Peec AI listing names Engineering. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Engineering Manager (Data Science) role at Peec AI still open?
The Engineering Manager (Data Science) posting at Peec AI was open at OnJob's last check of the employer's careers page, having been published on 4 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Engineering Manager (Data Science) role at Peec AI?
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