🛠 Tech Stack

💼 About This Role

You'll lead engineering managers and ML teams building foundational platforms for large-scale personalization and recommendation systems. Your work will shape core ML infrastructure including targeting, serving, and evaluation systems that power user experiences for hundreds of millions. This role offers a unique opportunity to define long-term technical strategy for AI-driven systems at massive scale, working across multiple engineering, product, and data science teams.

🎯 What You'll Do

• Lead engineering managers and ML teams building platform systems for personalization
• Define technical vision for ML infrastructure including targeting and serving
• Establish platform capabilities balancing shared infrastructure with team autonomy
• Drive incremental evolution of ML platforms avoiding disruptive rewrites

📋 Requirements

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

✨ Nice to Have

• Experience driving organizational or technical transformation initiatives
• Track record of building inclusive high-performing engineering cultures

🎁 Benefits & Perks

• 🏠 Flexible remote work within the EMEA region
• 🌍 Global impact on large-scale ML systems
• 📈 Career growth and leadership development
• 🤝 Collaborative international environment
• 🛠️ Exposure to cutting-edge AI and personalization technologies

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Deep Dive· 60 min
4. 4Leadership Panel· 60 min
5. 5Offer· 30 min