🛠 Tech Stack

💼 About This Role

This role offers the opportunity to lead high-impact machine learning teams working at the intersection of AI, geospatial intelligence, and climate resilience. You'll manage and grow a group of ML engineers and data scientists, focusing on team performance and delivery excellence. The position combines technical leadership with people management, directly contributing to improving grid resilience.

🎯 What You'll Do

• Lead and scale multiple ML and data science teams delivering AI-driven geospatial products
• Oversee delivery of ML systems built on satellite imagery and large-scale geospatial datasets
• Build, coach, and develop high-performing teams through regular feedback and mentoring
• Drive hiring and talent strategy to attract top ML and data engineering talent

📋 Requirements

• 8+ years of experience building ML or data-driven systems
• 3+ years of experience managing ML engineers or data science teams
• Strong technical background in machine learning, data systems, or applied AI
• Experience with Python-based ML workflows and working with data scientists and engineers

✨ Nice to Have

• Product mindset with ability to connect technical work to business impact
• Interest in climate-related challenges and technology-driven environmental impact

🎁 Benefits & Perks

• 💰 Competitive salary and benefits package
• 🏠 Flexible remote-first work environment
• 🖥️ Home office stipend and coworking support
• 📚 Learning and development budget
• 🤝 Collaborative and inclusive team culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Offer· 15 min