Note: The job is a remote job and is open to candidates in USA. Overstory is addressing the climate crisis by leveraging 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 developing machine learning models and transforming data into actionable insights 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
Skills
- 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
Benefits
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
- We gather once a year in-person for our unforgettable team gathering event
- We also offer the option to occasionally meet up for in-person collaboration
Company Overview