GEOINT Analyst

Summary

Ursa Space Systems builds software and AI agents that integrate satellite and geospatial data into customer workflows for global security and commodity markets. The GEOINT Analyst will perform end-to-end geospatial analysis using multimodal imagery and supporting data, validate machine learning outputs, create intelligence products, and support operational workflows and data pipelines.

Responsibilities

• Independently execute end-to-end geospatial analysis across diverse geographies, threat models, and commercial domains
• Use of AI-model workflows in the reporting process leveraging AI agents in daily operations
• Fuse multimodal datasets including Synthetic Aperture Radar (SAR), Electro-Optical (EO), Radio Frequency (RF), and Automatic Identification System (AIS) with secondary and commercially and publicly available data to generate actionable intelligence
• Analyze imagery across a wide range of providers, formats, and satellite constellation orbits
• Create, update, and validate maps, spatial layers, and visual intelligence products for client deliverables and internal projects
• Ensure all output data is accurate, complete, and consistent through rigorous auditing and quality validation standards
• Identify edge cases, anomalies, or quality bottlenecks in production pipelines and escalate them with proposed technical solutions
• Support research, validation, and benchmarking of machine learning algorithms used in production workflows
• Contribute to updating Standard Operating Procedures (SOPs), technical documentation, and workflow design discussions
• Partner with Product and Engineering teams to translate specific customer requirements into operational production steps
• Provide technical troubleshooting and problem resolution for data ingestion and production pipeline issues
• Collaborate with senior team members and cross-functional partners (Sales, Marketing, Prototyping) on custom data processing needs
• Perform other operational duties as assigned

Skills

• 2–4 years of professional experience in GEOINT, Remote Sensing, GIS, or Imagery Analysis
• Proficiency in analyzing multi-source imagery (specifically SAR and EO); baseline understanding of satellite orbits, imagery modes, and geospatial data processing
• Familiarity with standard GIS software (QGIS, ArcGIS), vector/raster data structures, and data visualization techniques. Experience working with machine learning outputs or automated extraction pipelines is a plus
• Curiosity and eagerness to quickly master new software platforms, satellite sensor types, datasets, and evolving technology stacks
• Strong written and verbal communication skills with a proven track record of professional collaboration across technical and non-technical teams
• Willingness and ability to work a flexible shift schedule, including evenings and weekends, based on company operational demands
• Must be a U.S. Citizen due to federal contract requirements
• Experience in programming languages, such as Python, is a plus
• Experience in commodities trading, analysis or related fields
• Familiarity with Google Workspace, Jira, and Slack
• Familiarity or experience with AI applications

Qualifications

Must Haves

• 2–4 years of professional experience in GEOINT, Remote Sensing, GIS, or Imagery Analysis
• Proficiency in analyzing multi-source imagery (specifically SAR and EO); baseline understanding of satellite orbits, imagery modes, and geospatial data processing
• Familiarity with standard GIS software (QGIS, ArcGIS), vector/raster data structures, and data visualization techniques. Experience working with machine learning outputs or automated extraction pipelines is a plus
• Curiosity and eagerness to quickly master new software platforms, satellite sensor types, datasets, and evolving technology stacks
• Strong written and verbal communication skills with a proven track record of professional collaboration across technical and non-technical teams
• Willingness and ability to work a flexible shift schedule, including evenings and weekends, based on company operational demands
• Must be a U.S. Citizen due to federal contract requirements

Nice to Haves

• Experience in programming languages, such as Python, is a plus
• Experience in commodities trading, analysis or related fields
• Familiarity with Google Workspace, Jira, and Slack
• Familiarity or experience with AI applications

Benefits

• Discretionary PTO & Flexible Scheduling
• Stock Options
• 401(k) Match
• Medical, Dental and Vision Coverage for you and your dependents
• FSA & HSA Plans
• Employer-paid Life Insurance
• Employer-paid LTD and STD for Parental and Family Care
• 11 Paid Holidays
• Employee Resource Groups
• Educational Assistance Program
• Professional Development Opportunities