Experteer Overview
In this ML Engineering Manager role, you will lead Growth ML initiatives to personalise prompts, offers, and messaging for over 4M users, driving revenue growth and long-term value. You’ll mentor a team of ML Engineers and partner with Marketing, Product, PMs, and Data Scientists to ship high-impact ML systems. Expect ownership of the ML roadmap, scalable model serving, and experimentation-driven delivery in a fast-growing fintech. This role combines technical leadership with cross-functional influence to shape user experience and financial outcomes at scale.

Compensaciones / Incentivos
• Own the ML roadmap for Growth and prioritise high-impact projects
• Design and deliver personalised prompts, offers, and messaging systems
• Lead the end-to-end ML delivery from concept to production and experimentation
• Recruit, onboard, and develop 3–5 ML Engineers
• Collaborate with Growth Marketing Engineering on infrastructure, experimentation, and deployment
• Partner with Product on feature prioritisation and UX design
• Engage Analytics on metrics, instrumentation, and incrementality testing
• Review ML designs and code; guide architecture for model serving and latency
• Maintain and improve ML infrastructure and tooling




• Lead incident response when models or systems degrade in production
• Champion a test-driven approach to ML and robust experiment design

Responsabilidades
• 5+ years in ML/Data Science with at least 2+ years in leadership or senior IC capacity
• Hands-on experience shipping ML products end-to-end (personalisation, recommender systems, growth)
• Strong fundamentals in statistical inference, experimental design, and causal reasoning
• Production ML experience: model serving, latency optimisation, A/B testing, monitoring
• Comfortable with Python, SQL, and cloud platforms (GCP, AWS)
• Experience with ML stacks (scikit-learn, XGBoost, TensorFlow/PyTorch)
• Track record of building and scaling high-performing teams
• Experience giving technical feedback, code reviews, and architectural guidance
• Ability to balance autonomy with accountability, navigate ambiguity
• Strong communication skills across technical and non-technical audiences
• Growth or marketing domain experience (LTV, CAC, attribution, retention)

Requisitos principales
• competitive compensation package
• equity
• flexible work arrangements
• private medical insurance
• pension plan with employer match
• paid sabbatical after 4 years

📌 Machine Learning Engineering Manager - Growth (España)
🏢 Cleo
📍 España