🛠 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'll define the technical vision for core ML infrastructure, including targeting, serving, and evaluation systems. This role blends deep technical leadership with strategic platform thinking, enabling teams to innovate quickly while relying on stable shared infrastructure.

🎯 What You'll Do

• Lead engineering managers and ML engineering teams building platform systems for personalization and recommendations
• Define and evolve the technical vision for core ML infrastructure
• Establish platform capabilities balancing shared infrastructure with product team autonomy
• Drive incremental evolution of ML platforms ensuring continuous delivery

📋 Requirements

• Extensive experience building and scaling machine learning systems in large-scale consumer-facing products
• Strong background in recommendation systems or content delivery platforms 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

• Demonstrated leadership in driving organizational or technical transformation initiatives
• Strong cross-functional collaboration skills across engineering, product, and data science teams

🎁 Benefits & Perks

• 🌍 Flexible remote work within the EMEA region
• 🏆 Opportunity to work on large-scale ML systems impacting global user experiences
• 📈 Strong emphasis on career growth and leadership development
• 🤝 Collaborative, cross-functional 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. 2Technical Screen· 60 min
3. 3On-site Interviews· 4 hours