🛠 Tech Stack

💼 About This Role

You'll lead high-impact machine learning teams working at the intersection of AI, geospatial intelligence, and climate resilience. You will manage and grow a group of ML engineers and data scientists building systems that transform satellite imagery and environmental data into actionable insights for critical infrastructure. This role offers the chance to contribute to mission-driven work focused on climate resilience and wildfire prevention.

🎯 What You'll Do

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

📋 Requirements

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

✨ Nice to Have

• Interest in climate-related challenges and environmental impact.
• Experience in high-growth startup or scale-up environments.
• Product mindset with ability to connect technical work to business impact.

🎁 Benefits & Perks

• 💰 Competitive location-based salary and benefits package.
• 🏠 Remote-first work environment with high autonomy.
• 🖥️ Home office stipend and coworking support.
• 📚 Learning and development budget for professional growth.
• 🌱 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· 45 min
4. 4Offer· N/A