🛠 Tech Stack

💼 About This Role

You'll drive technical excellence and scalable product delivery while embedding AI capabilities across the engineering platform. Your leadership will impact global engineering teams, promoting a culture of innovation and collaboration.

🎯 What You'll Do

• Develop technology strategy aligned with business goals
• Oversee engineering lifecycle from development to maintenance
• Lead, recruit, and retain high-performing engineering teams
• Drive adoption of AI-native development practices

📋 Requirements

• 15+ years in engineering leadership roles
• Managing large SaaS or cloud-native engineering organizations
• Deep understanding of SDLC, agile, DevOps, cloud architecture
• Experience with AI/ML systems

✨ Nice to Have

• Master's degree or higher in Engineering or Computer Science
• Experience with microservices and distributed systems

🎁 Benefits & Perks

• 💡 Culture of innovation and diversity
• 💰 Competitive compensation including base, bonus, equity
• 🌍 Global team collaboration on cutting-edge AI/ML

📨 Hiring Process

Estimated timeline: 3-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Hiring manager interview· 45 min
3. 3Technical interview· 60 min
4. 4Executive interview· 45 min