🛠 Tech Stack

💼 About This Role

You'll lead engineering managers and ML teams building platform systems for large-scale personalization and recommendation use cases. You will define the technical vision for core ML infrastructure, including targeting, ranking, serving, and evaluation systems. This high-impact position directly influences user experience and the future of personalization technology.

🎯 What You'll Do

• Lead engineering managers and ML teams building personalization platforms
• Define technical vision for ML infrastructure including targeting and serving
• Balance shared infrastructure with product team autonomy
• Partner with product, data science, and engineering leadership

📋 Requirements

• 10+ years building and scaling ML systems in consumer-facing products
• Experience with recommendation or ranking systems and full ML lifecycle
• Proven ability to lead platform engineering teams and define long-term strategy
• Strong cross-functional collaboration across engineering, product, and data science

✨ Nice to Have

• Experience with AI-assisted development tools
• Track record of organizational transformation initiatives
• Experience working in a global, multi-timezone environment

🎁 Benefits & Perks

• 🏖️ Flexible remote work within EMEA region
• 🚀 Opportunity to work on large-scale ML systems impacting global users
• 📈 Career growth and leadership development
• 🌍 Collaborative cross-functional international environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 4 hours