🛠 Tech Stack

💼 About This Role

You'll lead high-impact machine learning teams at the intersection of AI, geospatial intelligence, and climate resilience. You'll manage and grow ML engineers and data scientists building systems that transform satellite imagery and environmental data into actionable insights for critical infrastructure. This role offers the opportunity to shape strategy and scale teams in a mission-driven environment.

🎯 What You'll Do

• Lead and scale multiple ML and data science teams delivering AI and geospatial products
• Define technical direction aligned with product strategy and long-term modeling needs
• Oversee delivery of ML systems on satellite imagery and large-scale geospatial datasets
• Build, coach, and develop high-performing teams through feedback and mentoring

📋 Requirements

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

✨ Nice to Have

• Interest in climate-related challenges
• Product mindset connecting technical work to business impact

🎁 Benefits & Perks

• 💰 Competitive salary based on location
• 🏡 Remote-first work environment
• 💻 Home office stipend and coworking support
• 📚 Learning and development budget
• 🌍 Mission-driven work focused on climate resilience

📨 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