Engineering Manager, Data Science
Bluebird
About the role
About
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.
Offerings
- 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
Skills
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