Xylo Risk, Inc. Senior Geospatial Engineer San Francisco, CA · Boulder, CO · Oakland, CA · Remote · Full time Company website

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XyloPlan’s mission is to use science to guide community adaptation to wildfire in fire dependent landscapes to minimize losses, promote healthy ecosystems, and support successful economic markets. We combine speed-based fire behavior modeling with compelling storytelling to help communities properly prioritize wildfire resiliency efforts.

ABOUT XYLOPLAN

XyloPlan builds physics-based, community-scale wildfire risk modeling and simulation tools. Our Fire Pathways Architecture helps fire agencies, insurance carriers, reinsurers, utilities, and municipalities understand and reduce wildfire risk at the parcel level. We are a seed-stage company preparing for Series A in Q4 2026.

ROLE SUMMARY

We are looking for a Senior Geospatial Engineer to own the platforms around running and rendering our simulations. You will own the data pipelines that transform raw geospatial data (terrain, vegetation, structure footprints, weather) into the inputs for our physics models. Your work will continue through the fire simulations and you will also own the outputs of the models and the rendering methods to the end users. This role directly impacts our ability to deliver parcel-level risk scores and urban conflagration modeling to insurance carrier customers.

REPORTING STRUCTURE

Reports to: Kevin Brashem (Director of Engineering)

KEY RESPONSIBILITIES

- Design, build, and maintain geospatial data pipelines that process terrain, vegetation, fuel, structure, and weather datasets

- Integrate diverse geospatial data sources (e.g LANDFIRE, parcel data, building data, roads, historic fires) into a unified processing framework

- Collaborate with the R&D team on physics-based fire spread simulation and the development of tooling for validation of geospatial outputs against observed fire behavior

- Support customer-facing deliverables including Vulnerability Assessments and Community Mitigation Plans

- Contribute to technical architecture decisions as the engineering team scales

REQUIRED QUALIFICATIONS

- 7+ years of professional experience in geospatial engineering, GIS development, or spatial data science

- Strong proficiency in Python with geospatial libraries (GeoPandas, Rasterio, GDAL, Shapely)

- Experience with large-scale raster and vector data processing pipelines

- Familiarity with cloud-based geospatial infrastructure (AWS, GCP, or Azure)

- Experience with PostGIS or similar spatial databases

- Demonstrated ability to work with messy, real-world geospatial datasets from multiple sources

PREFERRED QUALIFICATIONS

- Experience with wildfire modeling, fire behavior simulation, or natural hazard risk assessment

- Background in remote sensing, LiDAR processing, or satellite imagery analysis

- Experience in an early-stage startup environment

- Knowledge of insurance or reinsurance industry data requirements

- Experience with React and front-end mapping libraries (e.g. Mapbox, ArcGIS, MapLibre)

COMPENSATION

- Base salary: $160,000 - $190,000 (commensurate with experience)

- Equity: Stock option grant four-year vesting with one-year cliff

- Benefits: Health, dental, vision, unlimited PTO

- 401(k) available

LOCATION AND WORK MODEL

- Remote within California or Colorado (required)

- Strong preference for candidates who can join weekly in-person work sessions at a coworking space in the Bay Area or Boulder area

- Occasional travel to customer sites and conferences (~10%)

XyloPlan is an equal opportunity employer.