Voyager Technologies
Agentic GEOINT Mission Management Lead
$170K–$230K
El Segundo, CA +2 · Full-time · Posted Jul 28, 2026
- Location
- El Segundo, CA
El Segundo, California, United States
Washington, District of Columbia, United States - Experience
- 7+ years.
- Education
- Bachelor’s or advanced degree in Computer Science, Aerospace Engineering, Physics, Mathematics, or a related field; or equivalent experience (preferred).
- Visa sponsorship
- Applicants must be a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual) and eligible to obtain required export authorizations.
About the job
Leads the design and delivery of an AI-native GEOINT mission management platform that translates operator intent into explainable, physically valid satellite collection plans.
What you'll do
- Own the technical vision and execution, representing the effort to customers and advancing it from prototype to fielded, accredited capability.
- Design and deploy agents, mission-system integrations, and evaluation suites that support collection planning and operator trust.
- Lead and mentor a small engineering team and collaborate with GEOINT, scheduling, and security experts.
What they ask for
- 7+ years of relevant professional experience, including technical leadership on R&D or prototype efforts for IC or DoD customers.
- Deep working knowledge of the GEOINT tasking and collection lifecycle.
- Hands-on experience building LLM-powered agents or tools; strong Python proficiency and experience with backend services and APIs.
- Active U.S. Top Secret / SCI clearance, or TS with SCI eligibility.
Nice to have
- Bachelor’s or advanced degree in a related field, or equivalent experience.
- Experience with astrodynamics and access-calculation tools, constellation scheduling, agentic frameworks, or classified software development.
Pay
$170,000–$230,000 USD (base salary)
Tools
Python, Model Context Protocol (MCP), STK, Orekit, GMAT, SGP4/SDP4, Google, OpenAI
AI focus
Builds and deploys agentic AI systems using LLMs to turn natural-language operator intent into collection requests and physically valid plans; includes explainability, evaluation, and human-on-the-loop trust.
Model-written summary · the original posting is authoritative