Teams at Vantor

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How Vantor’s People Are Driving Its Transformation

When Chief HR Officer Anat Gan Eden thinks of “growth,” she considers more than standard metrics like revenue and market share. “Sustainable growth is really the outcome of three things working in harmony: a resilient culture, a strong leadership pipeline and a workforce that can adapt at speed,” she said. Her employer, spatial intelligence technology company Vantor, is operating on all of those cylinders — and more. Fresh on the heels of an exciting rebrand, Vantor is ready to lead as an end-to-end spatial intelligence company and double down on the factors that will help it reach its next phase of growth.

Recently posted jobs

7 Hours AgoSaved
In-Office
Reston, VA, USA
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design and recommend structured analytic strategies for defense intelligence questions. Develop and maintain domain ontologies and knowledge graphs using semantic web standards, optimize queries (SPARQL/GraphQL/SQL), automate ontology generation, and collaborate to integrate, version-control, and evaluate analytic workflows supporting predictive/anticipatory intelligence.
7 Hours AgoSaved
In-Office
Reston, VA, USA
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Perform all-source strategic analysis of emerging and disruptive technologies (AI, quantum, biotech, autonomy) to assess national security impacts. Produce OBI-focused assessments, ontologies, early-warning indicators, and briefings for senior leaders. Integrate analytics, ML, and semantic technologies into workflows, document processes for automation and knowledge-graph integration, and support long-term defense planning and DCIP threat assessments.
7 Hours AgoSaved
In-Office
McLean, VA, USA
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Develop, deploy, and operate containerized geospatial, imagery, and AI/ML backend services and data pipelines. Build CI/CD, infrastructure automation, and Kubernetes-based platforms; integrate and operationalize ML models; support geospatial visualization and analytics; troubleshoot Linux, containers, networking, APIs, and data services in secure hybrid and classified environments.