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Bluebird Linkedin · Posted 1mo ago

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

Berlin, Berlin, Germany

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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


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