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)
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
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
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.
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
As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You’ll help shape the next generation of Overstory’s modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.
Reporting to our VP of Product Engineering, you’ll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready – balancing scientific rigor with practical engineering excellence. As a senior technical leader, you’ll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.
Time zone requirement: All north American time zones
In collaboration with data, ML, and science colleagues, you will:
Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
Build reproducible experimentation frameworks and model evaluation workflows.
Scale models from research to production with a focus on performance, reliability, and explainability.
Lead the evolution of ML systems, tooling, and processes — ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
10+ years of experience designing and building production-grade ML pipelines and systems
You have a background in wildfire science, forestry, or remote sensing
Strong background in deep learning, computer vision, or remote sensing
Skilled in designing end-to-end ML systems — from data ingestion and preprocessing to deployment and monitoring
Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
Strong communication skills and ability to collaborate across technical and scientific domains
Comfortable leading architectural discussions and mentoring other engineers
Background in wildfire science, forestry, or remote sensing
Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
Experience in model interpretability and data provenance for environmental ML systems
Experience with deep learning models for weather or climate data
Experience in remote-first or globally distributed teams
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.
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
You’ll lead a core part of our Vegetation Intelligence, the product area that turns remote sensing imagery and data into the vegetation insights that utilities act on every day, through world-class machine learning models. It’s one of Overstory’s most foundational products, live with customers now, and it sits at the center of how we prevent outages and stop wildfires. Every missed tree is an outage or a fire that could have been prevented.
The job is twofold. One is real ML-adjacent work: pushing our detection models further and turning their raw outputs into risk data precise enough for customers to trust and act on. You’ll need to be comfortable with complex machine learning models and geospatial data, close to the data science and engineering teams, and fluent enough in model trade-offs to make good calls with data scientists and ML engineers.
The other side is where you get to build new capabilities: taking that same data and pushing it into new products and capabilities customers don't have yet. You'll run user research, ground new product bets in the decisions customers make in the field, and turn a strong model into products that prevent real fires and real outages.
You’ll report to the Director of Product and own the strategy and roadmap for this product area end to end.
Time Zone Requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST, CST) Comfortable maintaining 3-4 hours of overlap European working hours for collaboration with the broader Overstory team.
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
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.
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.
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 are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.
Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)
Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
Mentor ML engineers on scientific methodology and domain reasoning
8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
Familiarity with GCP, Vertex AI, or similar cloud-based platforms
Experience in remote-first or globally distributed team
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.
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, co-working 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
As a Staff Data Engineer at Overstory, you will lead the design and scaling of the data platform that enables Overstory’s AI-powered vegetation analysis. Our analysis depends on moving enormous volumes of satellite imagery, model inferences, and utility network data through orchestrated pipelines reliably, repeatably, and on time to support customer decision-making. You'll own the architecture of that platform and set the direction for how it evolves.
You'll work closely with data, ML, and product engineers, as well as product teams, to make sure the data flowing into our models and out to our customers balances pragmatic delivery with durability, traceability, and scalability. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and set standards for pipeline design, service boundaries, and data quality across Overstory.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
In collaboration with data, ML, and product colleagues, you will:
Architect and evolve our orchestration layer — asset graphs, quality checks, partitioning strategies, and the patterns that keep it scaling reliably.
Design and maintain production data pipelines for large-scale geospatial and temporal data, from ingestion through transformation to delivery.
Lead system design work across the data platform, including service boundaries, data contracts, and designing around the failure modes that come with each.
Drive the shift toward a service-oriented architecture, decoupling tightly bound components into services that teams can own and deploy independently.
Build event-driven workflows, replacing brittle coupling and manual coordination with durable messaging patterns.
Establish observability, testing, and data quality frameworks so problems surface before customers see them, allowing any result to be traced back and explained.
Mentor engineers and define the standards for how we build, test, and operate data systems.
Experience thriving at the intersection of data engineering, distributed systems, and large-scale scientific data; deeply motivated by the opportunity to reduce wildfire risk and improve grid resilience through better data patterns and infrastructure
10+ years of experience designing and building production-grade data pipelines and systems
Deep hands-on experience with Dagster — asset-based orchestration, partitions, sensors, and the operational side of running it in production (comparable experience with Airflow, Prefect, or similar is a reasonable substitute if you're ready to go deep on Dagster)
Proven track record building and operating data pipelines at scale, with a real feel for idempotency, backfills, and partitioning
Experience in preparing systems to handle periods of high demand with a focus on testability and scalability best practices
Strong system design skills — you can reason about boundaries, contracts, coupling, and failure modes, and explain the tradeoffs to people who'll use and build on them
Practical experience designing service-oriented architecture, including versioning and keeping things operational through migrations
Strong Python skills and experience with Google Cloud
Experience with Pub/Sub and event-driven patterns
Strong communication skills and the ability to collaborate across engineering, ML, and product
Comfortable leading architectural discussions and mentoring other engineers
Experience in remote-first and globally distributed team
Comfort working with geospatial data and the ways that it’s stored
Experience building data pipelines that power ML training and inference
Experience with analytics engineering tooling and warehouse modeling in BigQuery
Infrastructure-as-code experience and comfort owning your systems in production
Background in remote sensing, forestry, or the utility sector
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.
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
Overstory is looking for a Senior Product Marketing Manager to own the core work of product marketing: positioning, messaging, pricing, packaging, and the sales enablement that ties it all together. You’ll shape how we bring products to market, how sales talks about what we build, and how we show up in front of utility leaders who are making high-stakes infrastructure decisions.
The function is new to Overstory, with plenty of low hanging fruit allowing this leader to have an immediate impact. You'll work closely with our VP of marketing, head of sales, head of customer success, product leadership, and the marketing team, building the function's practice and setting the bar for what great product marketing looks like at Overstory.
Time Zone Requirement: North America - Central or Eastern Time Zone
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.
7+ years in product marketing, with meaningful experience in B2B enterprise software, ideally with long sales cycles and multi-stakeholder buying processes.
Demonstrated ability to write for highly technical audiences and craft sharp, accessible narratives for product demos, executive briefings, and field sales conversations.
Demonstrated use of AI in day-to-day work and has integrated AI tools into daily workflows
Experience building and delivering sales training including running enablement sessions, coaching reps, and iterating based on what lands in the field.
Comfort with complexity: custom deals, non-standard packaging, and sales motions that require significant coordination across internal teams.
Strong strategic instincts. You can zoom out to shape category narrative and zoom in to wordsmith a one-pager. You know when each is needed.
Experience supporting a company through a major product or new market launch.
A builder's mindset. You're energized by the opportunity to define a function, not frustrated by the absence of a playbook.
Experience in the utility, energy, or climate tech space.
Familiarity with the regulatory and operational pressures facing electric utilities — particularly around wildfire risk, vegetation management, or grid reliability.
Experience building a product marketing function.
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.
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
As our inaugural Senior Security Engineer, you will play a critical role in safeguarding Overstory’s systems, data, and reputation. Partnering closely with your manager - the Director of Information Security and Compliance - you will take ownership of our security and compliance posture, and define, implement, and continuously improve our security program.
You will lead initiatives across vulnerability management, compliance, and security operations, while acting as a trusted partner to engineering, product, and business teams. This role is ideal for someone who combines hands-on technical expertise with a strategic mindset and enjoys building scalable security practices in a growing company.
Time Zone Requirement: Eastern North America (NST, AST, EST)
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
5+ years of experience in security engineering, security operations, or a related field
Direct experience with security and compliance frameworks such as SOC 2 and/or ISO 27001, including audit processes
Deep experience with vulnerability management, including tooling, prioritization, and remediation workflows
Fluency working across cloud environments (AWS, GCP, or Azure) and modern SaaS ecosystems
Experience with identity and access management, endpoint security, and IT/security operations
Demonstrated ability to translate security risks into clear, actionable guidance for technical and non-technical stakeholders
Demonstrable experience (or at a minimum a serious interest in) leveraging AI tooling to accelerate business impact.
Strong written communication skills and are comfortable owning documentation and audit artifacts
Demonstrable proactive, pragmatic mindset as well as capacity for balancing security best practices with business needs
Experience working cross-functionally influencing without authority in a remote-first environment
Experience designing or improving SIEM, logging, and alerting pipelines
Familiarity with compliance automation platforms (Drata, Vanta, Tugboat, etc.)
Experience leading or owning SOC 2 / ISO 27001 audits
Background in application or cloud security engineering
Experience mentoring or guiding more junior team members
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
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.
As a Senior Solutions Engineer at Overstory, you'll turn our vegetation intelligence into operational impact for utility customers. Our data products — derived from satellite imagery and machine learning — give utilities a clearer picture of where vegetation poses risk to their power lines. Vegetation-caused outages are a leading cause of power disruption and a growing driver of wildfire risk, and climate change is making the problem harder. You'll deliver analyses with technical and geospatial depth, build tools and workflows that make our work scale, and help customers actually act on what we provide. You’ll own the hardest customer problems from open questions to real-world impact, and turn what we learn in the field into what we productize next.
This role is a great fit for someone who is unreasonably curious about customers’ needs, is motivated to delight customers and push the frontier of our impact, and is excited to grow with a high-growth, mission-driven company. Highlights:
Ownership: Innovate on, deliver, and grow a critical capability for a fast-growing business — from customer outcomes through scalable productization.
Impact: Make a tangible, scalable contribution to climate resilience in the power sector.
Influence: Shape how the team has impact and what product and engineering build next.
Trajectory: Grow your career at a high-growth company, staying in Solutions Engineering or with pathways into Product, Customer Success, Sales, or Strategy.
Time Zone Requirement: North America (EST preferred)
On a typical day, you might be: scoping an open-ended customer question into an analysis plan, helping a teammate consider the best approach, leading a working session with utility operations leadership. turning a pattern seen across several customers into a product proposal, or building an AI-assisted workflow the team adopts.
Own outcomes for complex engagements: identify the insights and functionality that would cause customers to put Overstory to work in the field, deliver them, and course-correct until the customer acts.
Be a trusted technical advisor to utility counterparts up to leadership.
Set ways-of-working others adopt, such as how we approach investigations, document analyses for reuse, and run customer working sessions.
Mentor and coach other team members.
Transform the impact you and the team can have with AI.
Lead the technical work when customer work becomes a product opportunity: prototype, prove value, and hand off to engineering.
Strengthen engineering quality so analytical work is easier to validate, hand off, and scale.
Partner with product and engineering to shape the productization roadmap.
Passionate about tackling climate challenges with data-driven solutions.
6+ years of professional experience working with large, complex geospatial datasets in a customer- or stakeholder-facing capacity.
Track record of driving customer outcomes.
Experience leading through influence: mentoring, reviewing others’ work, and establishing standards.
Experience converting bespoke analysis into reusable tools, pipelines, or product features.
Proficiency with an AI-powered Python-driven analytical and engineering stack — coding agents, Python, Jupyter, git/GitHub.
Demonstrated use of AI tools to change how you or your team works.
Demonstrated attention to detail and care with data.
Proven ability to solve ambiguous problems and collaborate effectively with stakeholders.
Excellent communication, including translating technical findings for non-technical audiences and building rapport with customer counterparts.
Background in utility operations or infrastructure
Experience with remote sensing, satellite imagery, or other earth observation data
SQL or experience with data engineering pipelines
Prior work in a high-growth startup or mission-driven company
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 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.
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.
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.
","descriptionPlain":"SENIOR SOLUTIONS ENGINEER\n\nThe 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.\n\nThe 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. \n\nOne of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. \n\nThat’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.\n\nOur 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.\n\nJoin us to help us build a more resilient world together. \n\n \n\n\nROLE & TEAM\n\nAs a Senior Solutions Engineer at Overstory, you'll turn our vegetation intelligence into operational impact for utility customers. Our data products — derived from satellite imagery and machine learning — give utilities a clearer picture of where vegetation poses risk to their power lines. Vegetation-caused outages are a leading cause of power disruption and a growing driver of wildfire risk, and climate change is making the problem harder. You'll deliver analyses with technical and geospatial depth, build tools and workflows that make our work scale, and help customers actually act on what we provide. You’ll own the hardest customer problems from open questions to real-world impact, and turn what we learn in the field into what we productize next.\n\nThis role is a great fit for someone who is unreasonably curious about customers’ needs, is motivated to delight customers and push the frontier of our impact, and is excited to grow with a high-growth, mission-driven company. Highlights:\n\n\n\n - Ownership: Innovate on, deliver, and grow a critical capability for a fast-growing business — from customer outcomes through scalable productization.\n\n - Impact: Make a tangible, scalable contribution to climate resilience in the power sector.\n\n - Influence: Shape how the team has impact and what product and engineering build next.\n\n - Trajectory: Grow your career at a high-growth company, staying in Solutions Engineering or with pathways into Product, Customer Success, Sales, or Strategy.\n\nTime Zone Requirement: North America (EST preferred)\n\n \n\n\nWHAT YOU'LL DO\n\nOn a typical day, you might be: scoping an open-ended customer question into an analysis plan, helping a teammate consider the best approach, leading a working session with utility operations leadership. turning a pattern seen across several customers into a product proposal, or building an AI-assisted workflow the team adopts.\n\n\nENSURE OUR CUSTOMERS GET THE MOST POSSIBLE VALUE OUT OF OVERSTORY THROUGH TECHNICAL AND ANALYTICAL WORK\n\n - Own outcomes for complex engagements: identify the insights and functionality that would cause customers to put Overstory to work in the field, deliver them, and course-correct until the customer acts.\n\n - Be a trusted technical advisor to utility counterparts up to leadership.\n\n\nSHAPE HOW THE TEAM CREATES IMPACT\n\n - Set ways-of-working others adopt, such as how we approach investigations, document analyses for reuse, and run customer working sessions.\n\n - Mentor and coach other team members.\n\n - Transform the impact you and the team can have with AI.\n\n\nBUILD THE TECHNICAL FOUNDATIONS FOR WHAT WE PRODUCTIZE NEXT\n\n - Lead the technical work when customer work becomes a product opportunity: prototype, prove value, and hand off to engineering.\n\n - Strengthen engineering quality so analytical work is easier to validate, hand off, and scale.\n\n - Partner with product and engineering to shape the productization roadmap.\n\n \n\n\nSKILLS & EXPERIENCE\n\n - Passionate about tackling climate challenges with data-driven solutions.\n\n - 6+ years of professional experience working with large, complex geospatial datasets in a customer- or stakeholder-facing capacity.\n\n - Track record of driving customer outcomes.\n\n - Experience leading through influence: mentoring, reviewing others’ work, and establishing standards.\n\n - Experience converting bespoke analysis into reusable tools, pipelines, or product features.\n\n - Proficiency with an AI-powered Python-driven analytical and engineering stack — coding agents, Python, Jupyter, git/GitHub.\n\n - Demonstrated use of AI tools to change how you or your team works.\n\n - Demonstrated attention to detail and care with data.\n\n - Proven ability to solve ambiguous problems and collaborate effectively with stakeholders.\n\n - Excellent communication, including translating technical findings for non-technical audiences and building rapport with customer counterparts.\n\n \n\n\nNICE TO HAVE\n\n - Background in utility operations or infrastructure\n\n - Experience with remote sensing, satellite imagery, or other earth observation data\n\n - SQL or experience with data engineering pipelines\n\n - Prior work in a high-growth startup or mission-driven company\n\n\nWHAT WE OFFER\n\n - Competitive, location-specific compensation and benefits.\n\n - Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around\n\n - Home office stipend, coworking and ongoing education budgets\n\n - A company culture that genuinely embodies each of our core values\n\n - To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis\n\n\nABOUT OUR TEAM\n\nWe 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.\n\nWe 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.\n\n\n\n\nDIVERSITY & INCLUSION\n\nThe climate crisis is a human crisis that requires diverse perspectives to solve.\n\nWe place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together.\n\nWe 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.\n\nWe are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.\n\n\n\n\nOUR VALUES\n\nTackling the climate crisis is our greatest mission.\n\nWe act with urgency.\n\nOur curiosity fuels our growth.\n\nWe recognize that change is constant, and we find joy and power in exploration.\n\nWe’re rooted in diversity.\n\nJust as ecosystems need biodiversity to thrive, our resiliency comes from our differences.\n\nWe care for each other.\n\nWe love the power of machines but we nurture each other as humans.\n\nTrust is fundamental.\n\nWe assume the best in everyone, and we share ideas openly so that we have a positive impact.\n\n_________________________________\n\nUse of AI in Our Hiring Process\n\nWe 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."}],"apiVersion":"1"}