Engineering Manager, Data Science - Generative Engine Optimization

Bluebird Germany
Relocation
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AI Summary

Lead a small DS team to design, train, and deploy models for AI search recommendations. Develop novel algorithms and own the full ML lifecycle. Communicate complex technical work to executives and customers.

Key Highlights
Lead a small DS team
Develop novel algorithms
Own the full ML lifecycle
Key Responsibilities
Designing, training, and deploying models
Developing novel algorithms
Architecting scalable data and ML systems
Technical Skills Required
Python SQL PyTorch TensorFlow HuggingFace ONNX GCP BigQuery FastAPI Docker OpenAI Claude Gemini Llama
Benefits & Perks
Base salary up to €150K annually
Equity
Hybrid work with a beautiful Berlin office
Small, close-knit DS team

Job Description


Engineering Manager, Data Science | €150K | Series A | Berlin (Hybrid)


Our customer is a...


$21M-funded Series A startup building in one of the most exciting new categories in tech: generative engine optimisation (SEO, but for AI search). They help 1,300+ brands including Chanel, TUI, and Axel Springer understand and improve how they show up when people ask ChatGPT, Perplexity, or Gemini a question.


Launched in February 2025, they've already crossed $7.5M+ ARR, one of the fastest-growing GEO platforms in Europe.


🌟 What's in it for you? A defining leadership role at one of Europe's most exciting AI startups where you'll personally shape both the technical direction and the product roadmap.


They offer the following...

  • Base salary up to €150K annually + Equity
  • Hybrid work with a beautiful Berlin office as your base
  • A small, close-knit DS team where your decisions genuinely move the needle
  • Working alongside ambitious, technically excellent founders building a category-defining product


💼 What will you do?

  • Designing, training, and deploying models that power AI search recommendations while leading and mentoring a small DS team
  • Developing novel algorithms that reverse-engineer LLM behaviour, owning the full ML lifecycle from research to production
  • Architecting scalable data and ML systems across pipelines, evaluation frameworks, and model serving
  • Writing and reviewing production-grade code


👤 Who we're looking for

  • A senior data science leader who has personally owned and scaled complex ML systems from research to production, not just overseen others who do
  • Deep, first-principles understanding of LLMs and AI search, with solid systems instincts across APIs, pipelines, and production infrastructure
  • The communication skills to translate complex technical work to executives and customers
  • Background in high-growth startups, top-tier tech companies, and/or research


🛠 Skills: Python, SQL, PyTorch, TensorFlow, HuggingFace, ONNX, GCP, BigQuery, FastAPI, Docker, OpenAI, Claude, Gemini, Llama


Relocation possible, Sponsorship possible


Sound like you? Apply directly!


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