Staff Product Manager, Machine Learning

Overstory is addressing the climate crisis by utilizing cutting-edge technology to enhance the resilience of the electrical grid. The Staff Product Manager for Machine Learning will lead the Vegetation Intelligence product area, focusing on leveraging machine learning models to provide actionable insights for utility partners in order to prevent outages and wildfires.

Responsibilities:

• Own the roadmap for Vegetation Intelligence, spanning from the ML models that produce our risk data to the products that turn it into customer action
• Push our detection models further, and help fold their outputs into Overstory’s broader outage and ignition risk models
• Contribute towards increasing the number of actionable insights: run user research, ground priorities in the operational decisions customers actually make, and make sure what we ship drives real action in the field
• Shift the roadmap from scaling- and technical-led to customer-driven, without losing the technical rigor that got us here
• Work closely with data scientists and ML engineers to turn model capability into shipped product value, and define what 'good' looks like for a model in production
• Explore how feedback from customers and end users, like arborists, can improve model performance over time
• Communicate clearly and often with the broader product and engineering team, so trade-offs, model limits, and priorities stay visible
• Contribute to Overstory’s broader product strategy so Vegetation Insights supports where the rest of the product is headed

Requirements:

• 8+ years of product management experience, with a track record that proves both craft and shipping speed
• Hands-on experience building and shipping products powered by machine learning models. You understand how models get built, trained, evaluated, and improved, and you can talk model performance and trade-offs directly with data scientists and ML engineers
• Experience turning a scaling- or technical-led roadmap into a customer-driven one, including running user research and translating it into product priorities
• Experience working in a fast-paced startup, comfortable with ambiguity and making calls before everything's fully defined
• A track record building B2B products that customers rely on daily, including products where the value comes from turning data or model outputs into decisions customers can act on
• Strong written and verbal communication. You bring clarity to technical trade-offs and bring teams along as priorities shift
• Experience leading product strategy and roadmapping, and building consensus across product, engineering, and data science
• Experience building geospatial products or working with GIS technologies
• Experience with complex data products, especially data pipelines and platforms, including ingesting and processing large, diverse datasets from multiple sources
• Experience building machine learning products for image-based applications, like computer vision or image recognition