Solutions Engineer, Overstory

• Geospatial Expertise: Strong knowledge of GIS concepts and tools
• You’ve worked with large-scale spatial data (e.g., shapefiles, GeoTIFFs) and understand how to assess, process, and deliver insights from it
• Technical Fluency: Proficiency in Python for geospatial or data engineering tasks
• You’re familiar with GitHub, Jupyter notebooks, and comfortable in a command-line workflow
• Multi-Project Management: Demonstrated experience managing several projects simultaneously, juggling bespoke customer needs alongside standardized delivery pipelines
• Customer-Facing Communication: Confident in working with utility stakeholders, from vegetation managers to execs
• You can explain technical details with clarity and empathy
• Ownership and Autonomy: You take initiative and deliver independently, flagging risks early and finding paths forward when things aren’t clear
• Collaborative Mindset: You enjoy working across teams, seeking out feedback and contributing ideas to improve how we deliver

Desirable

• As a Solutions Engineer you’ll be working in a team that delivers analysis to our customers, bridging the gap between our technical capabilities and our customers’ operational goals
• You’ll be responsible for planning and executing technical deliveries across multiple utility clients, balancing a mix of standard implementations and tailored, high-impact solutions
• From early feasibility assessments to post-contract implementation, your work ensures that Overstory’s data and insights integrate seamlessly into customer workflows
• You’ll collaborate with data scientists, engineers, and business teams to deliver meaningful results—on time, and at scale
• Whether it’s preparing a custom model input, adjusting a data pipeline, or presenting technical outcomes to a utility operations team, you’ll be at the core of translating vegetation intelligence into real-world value
• Manage multiple customer deliveries, prioritizing workstreams across standardized and bespoke implementations
• Analyze large geospatial datasets (vector and raster), using your GIS knowledge to assess data quality, identify insights, and adapt solutions to specific utility use cases
• Write and debug Python code to process data, build proof-of-concept tools, and ensure smooth technical execution
• Work with business and delivery teams to define technical scope, assess feasibility, and shape successful delivery plans
• Serve as the technical voice to the customer, clearly communicating progress, trade-offs, and recommendations in both technical and accessible language
• Coordinate across projects, self-managing your time and adapting to shifting priorities while keeping stakeholders informed
• Collaborate with or guide small teams of engineers or data scientists to deliver complex components of customer solutions
• Support operational scalability, identifying where we can templatize or standardize delivery to accelerate implementation across new customers
• On a typical day you could be: running a satellite image through a pipeline, checking the quality of the output, and working with a specialist team to tweak the input parameters
• Writing Python code to explore, process and analyze GIS data; reviewing data accuracy and finding ways to improve it; updating a technical project plan; preparing images and statistics for a customer presentation
• You will have responsibility for your own projects, and we’ll expect you to take initiative to deliver a great product to our customers, and help us improve overall