Solutions Engineer

Overstory

Solutions Engineer using geospatial analysis and Python to mitigate utility vegetation risks at Overstory. Driving technical outcomes and collaborating with customers across North America and beyond.

Posted 5/15/2026full-timeRemote • California • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Passionate about tackling climate challenges with data-driven solutions.

Benefits

Comp & perks

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.

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Hard Skills & Tools

PythonJupytergeospatial datasetsdata processingdata analysisdebuggingdata validationAI toolingproject managementanalytical workflows

Soft Skills

attention to detailproblem-solvingcollaborationcommunicationrapport buildingcustomer-facing skillsstakeholder engagementadaptabilitycreativityorganizational skills