🛠 Tech Stack

💼 About This Role

You'll lead high-impact ML teams building geospatial AI systems that transform satellite imagery into climate resilience insights. You will manage technical direction, team growth, and delivery excellence while partnering with product and engineering leaders. This role combines technical leadership with people management in a mission-driven environment focused on reducing climate-related risks.

🎯 What You'll Do

• Lead and scale multiple ML and data science teams
• Define technical direction aligned with product strategy
• Oversee delivery of ML systems on satellite imagery
• Coach and develop high-performing ML engineers

📋 Requirements

• 8+ years building ML or data-driven systems
• 3+ years managing ML engineers or data science teams
• Strong technical background in machine learning
• Experience with Python-based ML workflows

✨ Nice to Have

• Interest in climate-related challenges
• Startup or scale-up leadership experience

🎁 Benefits & Perks

• 🌍 Remote-first work environment with high autonomy
• 🏠 Home office stipend and coworking support
• 📚 Learning and development budget
• 🤝 Collaborative team culture
• ⚖️ Focus on work-life balance

📨 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