🛠 Tech Stack

💼 About This Role

You'll lead engineering managers and ML teams building platform systems for large-scale personalization. You'll define the technical vision for ML infrastructure that powers recommendation and targeting systems serving hundreds of millions of users.

🎯 What You'll Do

• Lead engineering managers and ML teams building platform systems for personalization
• Define technical vision for ML infrastructure including targeting, serving, and evaluation
• Balance shared infrastructure with product team autonomy
• Drive incremental evolution of ML platforms ensuring continuous delivery

📋 Requirements

• Extensive experience building and scaling ML systems in consumer-facing products
• Strong background in recommendation or ranking systems
• Proven ability to lead platform engineering and define long-term strategy
• Demonstrated leadership in driving organizational or technical transformation

✨ Nice to Have

• Experience with modern AI tools and integrating them into workflows
• Cross-functional collaboration skills across engineering, product, and data science

🎁 Benefits & Perks

• 🏖️ Flexible remote work within the EMEA region
• 🎯 Impact on large-scale ML systems
• 📈 Career growth and leadership development
• 🤝 Collaborative cross-functional international environment
• 💡 Exposure to cutting-edge AI and personalization technologies

📨 Hiring Process

Estimated timeline: 3-6 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Leadership Interview· 60 min
4. 4Onsite (Virtual) Interviews· 3 hours
5. 5Offer