🛠 Tech Stack

💼 About This Role

You'll lead and scale machine learning teams building AI-driven geospatial products that transform satellite imagery into actionable insights for critical infrastructure and climate resilience. This high-visibility role combines technical leadership with people management, directly contributing to reducing climate-related risks.

🎯 What You'll Do

• Lead and scale multiple ML and data science teams delivering AI products
• Define technical direction aligned with product strategy
• Oversee delivery of ML systems on satellite imagery and geospatial data
• Build, coach, and develop high-performing engineering talent

📋 Requirements

• 8+ years building machine learning or data-driven systems
• 3+ years managing ML engineers or data science teams
• Strong background in Python-based ML workflows
• Experience in high-growth startup or scale-up environments

✨ Nice to Have

• Interest in climate-related challenges and environmental impact
• Experience with geospatial data and satellite imagery
• Product mindset connecting technical work to business impact

🎁 Benefits & Perks

• 💰 Competitive location-based salary and benefits
• 🏡 Remote-first work environment with high autonomy
• 📚 Learning and development budget
• 🤝 Collaborative and inclusive team culture
• ⚖️ Strong focus on work-life balance

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Hiring manager interview· 45 min
3. 3Technical interview· 60 min
4. 4Leadership interview· 45 min