--- title: 'Engineering Manager, Machine Learning at Overstory' canonical: 'https://feeny.ai/job/engineering-manager-machine-learning-overstory-united-states-canada-united-e26enc28tqve' type: 'job' last_seen: '2026-09-13' --- # Engineering Manager, Machine Learning at Overstory - **Company:** Overstory - **Location:** United States / Canada / United Kingdom / Netherlands / Denmark / Estonia / France / Ireland / Portugal / Sweden / Switzerland - **Work type:** remote - **Posted:** 2024-12-18 - **Last confirmed live:** 2026-09-13 - **Apply:** https://job-boards.eu.greenhouse.io/overstory/jobs/4488307101 ## Job description 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 demonstrate meaningful business impact through technology - Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions - Experience working with python-based ML or data workflows and collaborating closely with data scientists - Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels - Excellent communication skills and the ability to collaborate effectively in cross-functional environments - Passion for learning and staying current with evolving technologies and industry trend ## Nice To Have - Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments) Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description. ## What We Offer - 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 ## About Our Team We are a fast-growing team of about 100 people from all over the world. Fifteen nationalities are represented and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Finnish, Estonian, and Afrikaans. We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. 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. Diversity & Inclusion The climate crisis is a human crisis that requires diverse perspectives to solve. We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future. ## Our Values Tackling the climate crisis is our greatest mission. We act with urgency. Our curiosity fuels our growth. We recognize that change is constant, and we find joy and power in exploration. We’re rooted in diversity. Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences. We care for each other. We love the power of machines but we nurture each other as humans. Trust is fundamental. We assume the best in everyone, and we share ideas openly so that we have a positive impact. _________________________________ Use of AI in Our Hiring Process We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our [Privacy Notice](https://www.overstory.com/privacy-policy). ## About Overstory ## Company Overview - **One-liner**: Overstory provides AI-powered vegetation intelligence software to help electric utilities reduce wildfire risk, prevent power outages, and build a more resilient grid. - **Entity Type**: Private (Series B) - **Headquarters**: Amsterdam, Netherlands (with offices in Somerville, Massachusetts, USA) - **Founded**: 2018 - **Founders**: Indra den Bakker and Anniek Schouten ## Core Business - **Primary industry/industries**: Climate Tech, Utility Software, AI & Remote Sensing - **Target customers**: Investor-owned utilities, electric cooperatives, and grid operators (B2B, Enterprise) - **Mission or purpose statement**: To harness cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes. ## Products & Services - **Vegetation Intelligence Platform (SaaS)**: An AI-driven platform that combines satellite and aerial imagery with local data (asset location, wildfire maps, terrain) to provide utilities with actionable insights for data-driven vegetation management programs. It helps prioritize risk, optimize trimming budgets, and shift from reactive to proactive maintenance. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of $52 million (as of Series B in 2023) - **Notable Investors/Partners**: B Capital, Ecosystem Integrity Fund (EIF), Pale Blue Dot, CapitalT, and Moxxie Ventures. - **Growth Signals**: - Trusted by 6 of the 10 largest utilities in North America and over 50 investor-owned utilities and cooperatives across The Americas and Europe. - Headcount has grown to over 100 employees across Europe and North America. - Actively hiring for new senior roles including a CTO, Directors of Engineering, and Staff-level ML engineers, indicating a scaling phase. ## Competitive Advantages - **Proprietary AI & Remote Sensing**: Combines advanced computer vision with multiple remote sensing sources (satellite, aerial) to create a unique, real-time view of vegetation risk that manual inspections cannot match. - **Deep Industry Verticals**: Highly specialized for the utility sector, solving a specific, high-stakes problem (wildfire prevention, grid reliability) with significant regulatory and cost implications. - **Data Network Effects**: As more utilities use the platform, the dataset on vegetation growth and risk under various conditions improves, making the predictive models smarter and more accurate over time. ## Strategic Focus - **Geographic Expansion**: Building on its strong base in North America and Europe to onboard more utilities globally. - **Product Depth**: Currently hiring for a Staff Machine Learning Engineer focused on Wildfire, signaling a strategic push to deepen wildfire risk modeling capabilities. - **Customer Success**: The company is investing heavily in Enterprise Customer Success and Delivery Operations to support its large, complex utility clients and ensure high retention. ## Why Work Here - **Mission-Driven Impact**: Employees work directly on combating the climate crisis by making the electrical grid safer and more resilient against extreme weather and wildfire threats. - **Remote-First & Flexible**: The company is remote-first, with employees across the US, Canada, and Europe (UK, Netherlands, Portugal, etc.). They emphasize organizing work around life, not the other way around. - **Benefits & Culture**: Offers a competitive salary, equity, a remote working budget, an educational budget, and an annual company gathering. Culture values are rooted in diversity, curiosity, trust, and caring for each other. - **High Autonomy**: Described as having a culture of flexibility and a lot of autonomy, suitable for self-starters who want to own a piece of a critical climate problem. ## Sources 1. [overstory.com](https://www.overstory.com/) 2. [overstory.com/about-us](https://www.overstory.com/about-us) 3. [overstory.com/careers](https://www.overstory.com/careers) 4. [job-boards.greenhouse.io/overstory](https://job-boards.greenhouse.io/overstory) 5. [builtin.com/company/overstory](https://builtin.com/company/overstory) ## Other roles at Overstory - [Staff Data Scientist - Wildfire](https://feeny.ai/job/staff-data-scientist-wildfire-overstory-9pxgm1jt0wg0) — :, United States / Canada - [Enterprise Account Executive, Canada](https://feeny.ai/job/enterprise-account-executive-canada-overstory-canada-y8k25d88s4k6) — Canada - [Staff Technical Recruiter](https://feeny.ai/job/staff-technical-recruiter-overstory-united-states-canada-east-coast-europe-1968htmz37hs) — United States / Canada East Coast / Europe - [Staff Product Manager, Machine Learning](https://feeny.ai/job/staff-product-manager-machine-learning-overstory-united-states-canada-united-jweetrmseyar) — United States / Canada / United Kingdom / Netherlands / Denmark / Estonia / France / Ireland / Portugal / Sweden / Switzerland - [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-overstory-snjxb8qm2vvp) — :, United States / Canada - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-overstory-5yehmzp0q5yy) — :, United States / Canada - [Enterprise Customer Success Manager](https://feeny.ai/job/enterprise-customer-success-manager-overstory-san-francisco-bay-area-kvejbb8yme0k) — San Francisco Bay Area, CA - [Chief Technology Officer](https://feeny.ai/job/chief-technology-officer-overstory-united-states-canada-united-kingdom-bnr375c7r290) — United States / Canada / United Kingdom / Netherlands / Denmark / Estonia / France / Ireland / Portugal / Sweden / Switzerland - [Staff Machine Learning Engineer - Wildfire](https://feeny.ai/job/staff-machine-learning-engineer-wildfire-overstory-hyesrv5dytph) — :, United States / Canada - [Engineering Manager, Machine Learning](https://feeny.ai/job/engineering-manager-machine-learning-ziprecruiter-remote-pvcne9wd2w73)