🛠 Tech Stack

💼 About This Role

You'll lead engineering teams building foundational ML platforms for large-scale personalization systems that reach hundreds of millions of users. You will define the technical vision and strategy for core infrastructure including targeting, serving, and evaluation. This role offers direct impact on user experience and the future of AI-driven recommendations.

🎯 What You'll Do

• Lead ML engineering teams building platform systems for personalization
• Define and evolve technical vision for core ML infrastructure
• Establish platform capabilities balancing shared infrastructure with autonomy
• Drive incremental evolution of ML platforms with continuous delivery
• Partner with product, data science, and engineering leadership to align priorities

📋 Requirements

• 10+ years building scaling ML systems in large-scale consumer products
• Experience leading platform engineering teams and defining long-term strategy
• Strong background in recommendation or ranking systems with full ML lifecycle
• Proven ability to drive organizational transformation initiatives

✨ Nice to Have

• Experience with AI-assisted development tools
• Cross-functional collaboration across engineering, product, and data science
• Commitment to building inclusive engineering cultures

🎁 Benefits & Perks

• 🌍 Remote work within EMEA region
• 🤖 Impact on large-scale ML systems used globally
• 📈 Career growth and leadership development programs
• 🤝 Collaborative international environment with cutting-edge AI tech
• ⏰ Flexibility aligned with CET/GMT working hours

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Leadership Interview· 60 min