🛠 Tech Stack

💼 About This Role

You'll lead engineering managers and ML teams building platform systems for large-scale personalization and recommendation use cases. Your work will directly impact how hundreds of millions of users experience recommendations across digital surfaces. This role offers the chance to define the technical vision for core ML infrastructure at massive scale.

🎯 What You'll Do

• Lead engineering managers and ML teams building platform systems
• Define technical vision for targeting, serving, and evaluation systems
• Establish platform capabilities balancing shared infrastructure and product autonomy
• Partner with product and data science leadership to align priorities

📋 Requirements

• Extensive experience building ML systems in large-scale consumer products
• Strong background in recommendation or ranking systems
• Proven ability to lead platform engineering teams
• Experience with AI-assisted development tools

✨ Nice to Have

• Experience driving organizational transformation
• Background in agent-based systems
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 🌍 Flexible remote work within EMEA
• 🚀 Large-scale ML systems impacting global users
• 📈 Career growth and leadership development
• 🤝 Cross-functional international environment
• 💡 Cutting-edge AI and personalization technologies

📨 Hiring Process

Estimated timeline: 4-6 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3On-site interview· 90 min