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Overstory

Solutions Engineer

Posted Yesterday
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Remote
Hiring Remotely in Canada
Mid level
Remote
Hiring Remotely in Canada
Mid level
As a Solutions Engineer, you'll transform vegetation intelligence into actionable insights for utility customers, utilizing geospatial analysis and machine learning to enhance power grid resilience against climate challenges.
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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 a 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 use geospatial analysis, Python, and Overstory's data products to solve real utility problems today, and help shape what becomes a scalable product capability tomorrow.

This role is a great fit for someone who loves working with large geospatial datasets and wants to grow into customer advisory, product, or operational work at a high-growth mission-driven company. Highlights:

  • Ownership: Innovate on, deliver, and grow a critical capability for a fast-growing business — from customer delivery through scalable productization.
  • Impact: Make a tangible, scalable contribution to climate resilience in the power sector.
  • Skills: Use your geospatial and technical toolkit while building product judgment, customer-facing depth, startup operating experience, and your craft with AI tools.
  • 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)

What You'll Do

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.
Skills & Experience
  • Passionate about tackling climate challenges with data-driven solutions.
  • 2–4 years of professional experience working with large, complex geospatial datasets in a customer- or stakeholder-facing capacity.
  • Proficiency with a Python-driven analytical and engineering stack — Python, Jupyter, git/GitHub, and command-line workflows.
  • Experience successfully managing multiple projects simultaneously.
  • Demonstrated attention to detail and care with data.
  • Demonstrable experience (or at a minimum a serious interest in) leveraging AI tooling to amplify your work.
  • 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.
Nice To Have
  • Background in utility operations, infrastructure, or vegetation management
  • 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
About Our Team

We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.

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 ValuesTackling 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.

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