🛠 Tech Stack

💼 About This Role

You'll lead AI-native engineering transformation for a high-growth SaaS platform. Your core impact will be building and scaling global engineering teams delivering cloud-native products. This role offers exposure to cutting-edge AI/ML initiatives in a dynamic environment.

🎯 What You'll Do

• Define and execute the technology strategy aligned with business goals.
• Oversee the full engineering lifecycle from development to operations.
• Mentor and lead engineering teams including software, QA, and AI/ML.
• Drive adoption of CI/CD, agile, and observability best practices.

📋 Requirements

• Bachelor's degree in Engineering, Computer Science, or related field.
• 15+ years of engineering leadership, managing large SaaS/cloud organizations.
• Track record of scaling high-performing engineering teams.
• AI/ML experience building machine learning or generative AI systems.

✨ Nice to Have

• Master's degree or higher.
• Experience with cloud architecture and microservices.
• Proven ability to manage engineering budgets and vendor relationships.

🎁 Benefits & Perks

• ✈️ Remote-first culture with global team collaboration.
• 💰 Competitive compensation including base, bonus, and equity.
• 🚀 Cutting-edge AI/ML initiatives exposure.
• 🌟 Innovation-focused culture valuing curiosity and diversity.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min