Lead AI-Driven GEOINT Mission Orchestration

Voyager Technologies, Inc.; Denver (CO); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Flexible Time Off

Medical, Dental, Vision

401(k) company match

Wellness programs

Job summary

Voyager Technologies, Inc. seeks an Agentic GEOINT Mission Management Lead to own the technical vision and hands-on execution of a platform that turns operator intent into actionable collection plans, leveraging orbital mechanics and AI agents.

The role sits at the intersection of GEOINT tradecraft, sensor models, and live mission data, requiring leadership of a small engineering team and close collaboration with domain experts to deliver accredited capabilities.

Qualifications

• 7+ years in software engineering, mission systems, or GEOINT on IC/DoD projects.
• Deep knowledge of GEOINT tasking and collection lifecycles, access windows, and sensor phenomenology.
• Hands-on experience building LLM-powered agents and API backends.

Responsibilities

• Serve as PI for Agentic Mission Management; own vision, roadmap, and execution.
• Design an agentic architecture where an AI orchestrator calls mission capabilities as tools.
• Develop production-ready AI agents translating operator intent into structured collection requests.
• Build explainability and trust into the platform with auditable AI recommendations.
• Maintain MCP servers exposing mission systems to agents as robust tools.
• Create evaluation harnesses scoring agents on realistic tasking scenarios.
• Collaborate with GEOINT domain experts to encode tradecraft and safety constraints.
• Mentor a small AI/mission software team and set engineering standards.

Skills

Python

GEOINT / remote-sensing

AI/LLM agents

Systems engineering leadership

Security clearance

Education

Bachelor’s or advanced degree

Tools

STK

Orekit

GMAT

Job description

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 accelerate development rather than writing all boilerplate by hand.
• Strong proficiency in Python and experience building or directing backend services and APIs.
• Strong ability to decompose complex, ill-structured mission problems into structured, solvable sub-problems.
• Experience carrying a capability across the prototype-to-production gap: hardening, testing, security, and the discipline to be blunt about what is real, what is staged for demos, and what remains to be built.
• Multi-disciplinary collaborator who enters unfamiliar domains and establishes useful working depth in days-to-weeks rather than quarters, and who thrives in a short-cycle, high-tempo environment with real customers on the other end.
• Active U.S. Top Secret / SCI security clearance (or TS with SCI eligibility).

Preferred Qualifications:

• Bachelor’s or advanced degree in Computer Science, Aerospace Engineering, Physics, Mathematics, or a related field; or equivalent experience.
• Prior service as a GEOINT collection manager, imagery analyst, or mission operator in the IC or military — or sustained work alongside them — sufficient to speak the operators’ language and earn their trust.
• Familiarity with astrodynamics and access-calculation tools (STK, Orekit, GMAT, SGP4/SDP4 propagation) and with constellation scheduling or optimization approaches.
• Experience integrating commercial imagery tasking APIs and orchestrating collection across government, commercial, and allied constellations.
• Experience with agentic frameworks, MCP, evaluation harnesses, and growing autonomy in operational systems under human-in-the-loop and human-on-the-loop constructs.
• Familiarity with classified software development and IC accreditation — developing in and deploying to secure environments, and designing systems with an Authority to Operate (ATO) path in mind.
• Zeal for AI and national security space (and other cool tech)

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employeesbenefitfrom a flexible and comprehensive rewards program that supports both professional and personal well-being.

• Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance
• Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
• Flexible, affordable gym memberships with 12,700+ options nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness, and more! No long-term contracts and FREE on-demand workout videos before you enroll
• 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security
• Company wellness programs that support physical and mental well-being
• Additional voluntary benefits and employee support resources
• The opportunity to work alongside a highly talented team in an innovative, mission-driven environment

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120–130) and the Export Administration Regulations (EAR) (15 CFR Parts 730–774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.

Minority/Female/Disabled/Veteran

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

$170,000 - $230,000 USD

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