Staff Product Manager, Machine Learning

🔥 50 minutes ago

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Overstory

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚡ Energy

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Overstory is a company that provides software solutions for utilities to optimize resources, mitigate vegetation risk, and manage infrastructure more intelligently, particularly to prevent power outages and wildfires. The company offers actionable vegetation intelligence by leveraging advanced technology such as artificial intelligence and remote sensing, combining satellite and aerial imagery with local data such as asset locations and wildfire maps. Overstory aims to improve safety and reliability of power delivery by enabling data-driven decision-making and future-proofing utilities' operations programs.

📋 Description

• 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

🏖️ 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