Product Manager, Machine Learning

As a Product Manager on the Machine Learning team at Overstory, you’ll lead the development and improvement of the core models that power our vegetation intelligence. This team owns and operates the full ML lifecycle for all vegetation models, from training and evaluation to inference and monitoring in production. The team and technology is scaling, so you will have a strong influence on the long-term development of core MLOps capabilities.

You’ll work closely with ML engineers, data scientists, and software engineers to drive improvements in model performance, reliability, and speed. Your job is to make sure our models are accurate, scalable, and deliver meaningful insights to our customers in a timely way. This includes defining model success criteria, prioritizing model enhancements, and ensuring tight integration with upstream data and downstream product teams. 

This is a highly cross-functional and technically complex role. You’ll translate customer and product needs into ML priorities, help teams evaluate trade-offs in model development, and guide decisions that balance accuracy, speed, cost, and complexity. It’s a mix of technical product strategy, hands-on execution, and tight collaboration with engineering and research.

You’re comfortable operating in deeply technical domains and enjoy working with ML practitioners to build products that have real-world impact. You can balance long-term research efforts with short-term delivery needs, and you’re pragmatic in how you prioritize. You’ve worked on ML-heavy products before and know what it takes to deliver high-quality results to production.

You’re a systems thinker who understands how models fit into the broader product and data ecosystem. You have experience developing product strategy focused on data, ML quality, and business impact. You communicate clearly, bring cross-functional stakeholders along, and are motivated by the opportunity to contribute to real climate solutions.

• 5+ years of product management experience owning key product metrics/indicators tied to company performance
• Experience working directly with machine learning teams and owning ML-powered features or platforms
• Strong technical fluency, able to engage in depth with ML engineers, researchers, and data scientists
• Familiarity with the ML lifecycle, from model training and evaluation to deployment and monitoring
• Understanding of how to balance data quality, speed, and scalability
• Proven ability to align engineering, science, and product stakeholders around shared goals
• Excellent communication skills, especially in technical environments
• Passion for climate impact and mission-driven work
• You are based in Europe (see countries we hire from below) or on the East Coast of the US

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

If you don’t meet all of the above yet feel you have lots to offer, please apply anyway.

• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis.
• A flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around.
• Other benefits like a remote working budget, an educational budget and time to develop new skills.
• To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect.
• Equity and a competitive salary.