Overstory, Inc.

• 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

• Own Overstory's core positioning and messaging, from category narrative to product-level value propositions. • Shape the language that defines how utility leaders understand wildfire risk, vegetation-related risks, and the cost of inaction. • Lead pricing, packaging, and GTM strategy for new and existing products, including custom deals with complex, multi-stakeholder buying dynamics. • Build the sales enablement materials (battlecards, pitch narratives, ROI models) that support a sales team navigating long cycles across vegetation managers, engineers, and C-suite. Train reps on how to use them and stay close enough to deals to know when they're not working. • Partner with product and sales leadership on go-to-market decisions; owning product launches end to end, structuring pilots, and determining how to enter new segments. • Run win/loss analysis and competitive intelligence programs to inform how we sell and how we position. • Mentor early career team members including product marketing, content marketing and field marketing.

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis. • Grow the teams by attracting great talent from your network. • Foster an inclusive and caring culture where everyone can do their best work. • Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations. • Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals. • Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals. • Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

• Lead 0-to-1 product development for a new AI-native grid resilience product, from earliest problem framing through to first version shipped and used by customers. • Decide what to build (and just as importantly, what not to) by combining customer discovery, AI feasibility, and Overstory's broader vision. • Design and ship agentic, AI-native workflows in tight loops with engineering and design, favoring prototypes, evaluations, and live customer reactions over long specs. • Define the success metrics for this new area, set what "good" looks like, and hold the team honest as we iterate. • Communicate clearly and frequently with the broader Overstory team, making the bets visible, the learnings shareable, and the trade-offs explicit. • Contribute to the broader product strategy at Overstory as we figure out how this new area connects to, and reinforces, the core product

• On a typical day, you might be: running satellite imagery through a pipeline and validating the output; debugging a geospatial join in Python; reviewing a draft analysis with a Customer Success Manager before it goes to a customer; talking with a utility vegetation manager to walk through findings and adjust based on what you hear; refactoring a notebook into a reusable script for the team; or sketching out how a recurring customer ask could become a product feature. • Ensure our customers get the most possible value out of Overstory through technical and analytical work • Own customer projects end-to-end, from data requests and processing through analysis to customer-ready outputs, in close partnership with Customer Success. • Work with large geospatial datasets (vector and raster) from Overstory's platform, customers, and third-party sources — process, validate, analyze, and turn them into outputs customers can act on. • Build rapport with customer counterparts. Translate technical findings into recommendations that change decisions and lead to better outcomes for our customers. • Build the technical foundations for what we productize next • Identify patterns across customer work that are worth standardizing and productizing. Convert one-off projects into repeatable artifacts. • Strengthen engineering quality so analytical work is easier to validate, hand off, and scale. • Partner with product and engineering to build the productization roadmap. • Strengthen the analytics workflows and infrastructure that support both customer impact and future productization.

• Design, implement and monitor scalable AI systems & workflows (not just manage work) • Drive execution across multi-week customer delivery cycles • Ensure clarity on timelines, dependencies, and ownership across teams • Replace manual status tracking with automated data capture • Create visibility and accountability • Anticipate and surface risks; proactively unblock teams • Drive cross-functional alignment across Customer Success, Product and Engineering teams

• Drive customer impact through analytics • Own end-to-end analytical work for existing and new utility customers • Solve customer problems by structuring and analyzing data • Analyze large, complex datasets from Overstory’s platform • Identify patterns across customer needs and translate them into opportunities for product development

• Own and evolve Overstory’s compliance program, ensuring ongoing alignment with SOC 2, ISO 27001, and other relevant frameworks • Drive vulnerability management end-to-end, from detection to remediation, working closely with engineering teams to prioritize and resolve risks efficiently • Design and improve security processes and controls across infrastructure, applications, and internal systems • Lead security input in architecture and engineering decisions, helping teams build secure-by-design systems • Oversee and improve identity and access management, endpoint security, and core IT security practices • Own vendor security and third-party risk management, including assessments, risk evaluation, and mitigation strategies • Lead audit readiness and execution for SOC 2 and ISO 27001, including control design, evidence collection, and auditor coordination • Partner with customer-facing teams to handle security questionnaires and build scalable, high-quality response processes • Contribute to security awareness and culture, mentoring others and raising the security bar across the organization

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—15 nationalities strong and growing. 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. We’re looking for a USA based mid-career arborist to work closely with our Lead Arborist on analyzing imagery to identify tree species and health. What you’ll do - Identify declining trees on satellite images - Identify tree species on satellite images - Quality control the work of our team (ex. correct tree species, hazard trees, tree height, vegetation encroachment, and overhang, etc.) Your experience - Experience as a forester or arborist, ideally ISA Certified Arborist. - You’re well versed with GIS tools like QGIS and ArcGIS. - Experience interpreting tree characteristics from satellite images. - You have a strong attention to detail. - Exceptional verbal, written and visual communication skills in a fast-paced environment. - You’re a team player that seeks out feedback. - Ability to work independently with minimal supervision. Contract - 10-20 hours per week contract - Indefinite contractor agreement - Seasonal work with busy times and slower times hours will fluctuate accordingly About our team We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from eleven different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada. We meet up 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 We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem. We’re always looking to diversify our team further, but we’re proud of the fact that four out of the nine people on our leadership team are female, 46% of the overall team are female and 20% of the team are people of color. Our team speaks fifteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, Danish and Korean. 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. But don’t worry, 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.

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis. • Grow the teams by attracting great talent from your network. • Foster an inclusive and caring culture where everyone can do their best work. • Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations. • Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals. • Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals. • Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities