Staff Product Manager, Machine Learning

Overstory develops AI and satellite-imagery solutions that help electric utilities prevent outages, reduce wildfire risks, and build a more resilient grid. The Staff Product Manager will own the end-to-end strategy and roadmap for Vegetation Intelligence, advancing machine learning models and translating their outputs into customer-focused products and actionable insights.

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