Teams at Ursa Space Systems

Conduct end-to-end GEOINT and geospatial analysis using SAR, EO, RF, AIS, and secondary data. Create and validate maps, spatial layers, and intelligence products; audit data quality; investigate anomalies; and support machine learning validation. Collaborate with engineering, product, operations, sales, and marketing teams on production workflows, customer requirements, troubleshooting, documentation, and SOPs. This virtual role supports 24/7 operations and requires flexible shifts, including evenings, weekends, or on-call work.

Build and own the company’s Revenue Operations function, including CRM administration, GTM technology management, forecasting, pipeline and funnel reporting, planning, quota and territory support, deal desk operations, and lead-to-cash process improvement. Partner with Sales, Marketing, Customer Success, Finance, and executive leadership to establish scalable systems, data standards, and processes from the ground up.

The Senior Data Engineer will architect and enhance data infrastructure, create dependable data pipelines, oversee cloud-based data warehouses, and mentor engineers to enable scalable solutions for analytics and machine learning.