🛠 Tech Stack

💼 About This Role

You'll lead platform teams building large-scale ML systems for personalization and recommendations. Your work will directly impact how hundreds of millions of users experience content. This role blends strategic leadership with deep technical challenges.

🎯 What You'll Do

• Lead engineering managers and ML engineering teams building platform systems for personalization.
• Define technical vision for core ML infrastructure including targeting, serving, and evaluation.
• Partner with product, data science, and engineering leadership to align priorities.
• Recruit, develop, and mentor engineering leaders and contributors.

📋 Requirements

• Extensive experience building and scaling machine learning systems in consumer-facing products.
• Strong background in recommendation systems or ranking platforms with full ML lifecycle.
• Proven ability to lead platform engineering teams and define long-term technical strategy.
• Experience integrating modern AI tools into engineering workflows.

✨ Nice to Have

• Experience with agent-based systems or evaluation infrastructure.
• Track record of driving organizational or technical transformation initiatives.
• Exposure to large-scale personalization technologies.

🎁 Benefits & Perks

• 🏡 Flexible remote work within the EMEA region
• 🌍 Global impact on large-scale ML systems
• 📈 Career growth and leadership development
• 🤝 Collaborative international environment
• ⏰ Flexible hours aligned with CET/GMT

📨 Hiring Process

Estimated timeline: 4-8 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 60 min
3. 3Technical Presentation· 90 min
4. 4Executive Interview· 60 min
5. 5Offer· 30 min