🛠 Tech Stack

💼 About This Role

You'll lead high-impact machine learning teams at the intersection of AI, geospatial intelligence, and climate resilience. You will manage ML engineers and data scientists building systems that transform satellite imagery into actionable insights for critical infrastructure. This role combines technical leadership with people management in a mission-driven environment focused on grid resilience and reducing climate 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
• Build, coach, and develop high-performing teams
• Partner with Product Managers to balance delivery and scalability

📋 Requirements

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

✨ Nice to Have

• Experience in high-growth startup or scale-up environments
• Interest in climate-related challenges and environmental impact

🎁 Benefits & Perks

• 💰 Competitive salary and benefits package
• 🏡 Flexible remote-first work environment
• 🖥️ Home office stipend and coworking support
• 📚 Learning and development budget
• 🌿 Mission-driven work on climate resilience

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

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