Role Overview

• Lead development and improvement of core vegetation intelligence ML models.
• Manage full ML lifecycle from training, evaluation, inference, to production monitoring.
• Work with ML engineers, data scientists, and software engineers to enhance model performance, reliability, and speed.
• Define model success criteria, prioritize enhancements, and integrate with data and product teams.
• Translate customer and product needs into ML priorities and guide trade-offs balancing accuracy, speed, cost, and complexity.

Requirements

• 5+ years of product management experience tied to key product metrics.
• Experience working directly with ML teams and owning ML-powered features or platforms.
• Strong technical fluency with ML engineers, researchers, and data scientists.
• Familiarity with the ML lifecycle from training to deployment and monitoring.
• Understanding of balancing data quality, speed, and scalability.
• Ability to align engineering, science, and product stakeholders around goals.
• Excellent communication skills in technical environments.
• Passion for climate impact and mission-driven work.
• Based in Europe or on the East Coast of the US.

Nice-to-haves

• Experience with imagery, geospatial data, and/or MLOps.
• Background in technical product roles involving automation or orchestration.
• Success working with platform and customer-facing teams.

Benefits

• Mission-driven work addressing wildfires and climate crisis.
• Flexible working environment with autonomy.
• Remote working budget, educational budget, and skill development time.
• Inclusive, supportive team culture.
• Equity and competitive salary.