Agentic GEOINT Mission Management Lead

About this role

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.

Forge the Future: Join Voyager Technologies

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. 

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality.

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,  forge the future with Voyager.

Job Summary:

We are seeking an Agentic GEOINT Mission Management Lead to lead the technical effort building Voyager’s Agentic Mission Management platform — an AI-native system that lets intelligence operators task and orchestrate large, heterogeneous satellite constellations through natural conversation instead of manual planning tools. In this role, you will own the technical vision and hands-on execution for a platform that turns operator intent into physically valid, explainable, executable collection plans — and matures it from working prototype to accredited operational capability.

You will sit at the intersection of GEOINT tasking tradecraft, collection orchestration, and agentic AI. This role is a fit for someone who has lived the tasking-to-dissemination cycle and gets impatient with monolithic, opaque, manual planning workflows — who knows that the target deck now changes by the hour while constellations have grown from a handful of exquisite assets to hundreds of government, commercial, and allied satellites, and who wants to see their agents task real sensors against real physics, not just push text around. The work also involves decomposing the judgment of collection managers and mission planners into agent definitions, tool integrations, scheduling and astrodynamics couplings, and evaluation suites.

You will be joining a specialized group within our Advanced Technology Development organization responsible for building Voyager’s Agentic Mission Management platform — the AI-native system that translates human intent into mission management action. We design agentic AI systems that pair deeply with orbital mechanics, sensor models, and live mission data so that physical feasibility, explainability, and operator trust are built into every recommendation from the very first request — and so that autonomy grows deliberately, as the system earns it.

Responsibilities:

• Serve as Principal Investigator (PI) for the Agentic Mission Management effort — own the technical vision, technical roadmap, and execution; represent the work to Intelligence Community and national security space customers; and carry it from working prototype to fielded, accredited capability.

• Lead the design of an agentic architecture in which an AI orchestrator calls mission capabilities as tools, in whatever order the mission needs.

• Design, implement, and deploy production-ready AI agents (using state-of-the-art models from Google, OpenAI, etc) that translate operator intent expressed in plain language into structured collection requests and physically valid collection plans, checked against real orbital mechanics, sensor phenomenology, and access constraints — not just geometry.

• Build explainability and human-on-the-loop trust into the platform: every AI recommendation traceable, auditable, and defensible to the operator, with autonomy that expands as the system demonstrates reliability.

• Develop and maintain Model Context Protocol (MCP) servers that expose mission systems — target decks and collection requirements, satellite catalogs and ephemerides, orbit propagation and access-calculation services, tasking interfaces, and imagery archives — to agents as robust, secure tools.

• Build evaluation suites that score agents on realistic tasking scenarios: collection-deck satisfaction, revisit and timeliness, sensor-to-target pairing quality, schedule validity against high-fidelity astrodynamics and sensor phenomenology, and operator-trust metrics.

• Collaborate closely with GEOINT domain experts, former collection managers and operators, scheduling experts, and security/accreditation staff to encode tradecraft, policy, and safety constraints directly into agent behavior.

• Mentor and lead a small, high-tempo team of AI and mission-software engineers, and set the engineering standards — code, evaluation, and documentation — the platform is built to.

• Build a system that takes all-source inputs to generate context that informs collection needs.

• Use LLMs as a development accelerator for scaffolding code, writing tests, and generating documentation — you should be shipping with agents, not just building them.

Required Qualifications:

• 7+ years of professional experience in software engineering, mission systems, or GEOINT / remote-sensing systems, including demonstrated technical leadership (PI, tech lead, chief engineer, or equivalent) on R&D or prototype efforts for IC or DoD customers.

• Deep working knowledge of the GEOINT tasking and collection lifecycle — collection requirements and decks, access windows, sensor phenomenology (EO/IR, SAR, RF), constellation scheduling, and the operational realities of multi-source collection management.

• Hands-on experience building LLM-powered agents or tools (professional, research, or serious personal projects), and a demonstrated habit of using LLMs and agents to acce

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