Engineering Manager, Machine Learning

The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes. The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change. One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid. Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good. Join us to help us build a more resilient world together. Role & Team As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities. Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain. You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work. Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making. Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST) What You'll Do Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions Grow the teams by attracting and hiring great Data and ML talent Foster an inclusive, supportive, and caring culture where everyone can do their best work Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals Ensure the technical approaches within your domains support future product and modelling needs Work closely with other Product, Design and Engineering leaders on strategy, technology, and people Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning Skills & Experience 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams Passionate about climate and the role technology can play in addressing environmental challenges Experience working in a high-growth scale-up or startup environment Product-minded, with the ability to