Job Summary

Lead the engineering team behind the Orbis AI portfolio — the Agent Catalog, the OSINT Agent Harness, and Pulse Analytics — and be accountable for what it puts in front of users. You will grow a team of software and research engineers, set the cadence that turns applied research into deployed capability, and hold the line on the accuracy, explainability, and reliability that mission work demands. This role exists because Orbis AI is measured on capability delivered to users, not on experiments run.

Travel: Up to 20% for customer engagement, integration support, and team collaboration.

Key Responsibilities

• Lead, coach, and grow a team of software and research engineers, owning hiring, onboarding, performance, and career development.
• Own the team's delivery commitments end to end — scope, sequence, and land work each cycle, surfacing status and risk early rather than at the deadline.
• Drive the research-to-product path: set direction with product management, define what a result must demonstrate to become a roadmap commitment, and stop work that is not paying off.
• Enforce the Orbis AI product principles — accuracy and trustworthiness, security and data sovereignty, rapid iteration, deploy anywhere, explainability, and performance — in design review rather than after release.
• Establish engineering standards that hold under pressure: design and code review, testing, observability, on-call, and incident follow-through.
• Guide architecture for systems that must run in cloud, on-premises, and edge environments from a single codebase.
• Clear cross-team blockers — dependencies, interface contracts, and competing priorities — with the product teams that consume Orbis AI capabilities.
• Travel up to 20% for customer engagement, integration support, and team collaboration.

Required Qualifications

• 6+ years of professional software engineering experience, including 2+ years directly managing engineers
• Bachelor's degree in Computer Science, a related technical field, or equivalent professional experience
• Track record of delivering meaningful product surfaces on committed timelines
• Technical depth in distributed systems, backend services, or AI and data platforms sufficient to lead design review credibly
• Demonstrated ability to grow engineers, including leveling, performance conversations, and hiring against a bar
• Clear written and verbal communication with both engineering and non-engineering audiences
• Willingness to travel up to 20%

Desired Qualifications

• Experience managing teams building agentic AI, LLM-backed products, or knowledge-representation and retrieval systems
• Experience managing or partnering closely with applied research, and judgment about when a result is ready to productize
• Experience shipping software into constrained environments such as on-premises, disconnected, or edge deployments
• Familiarity with containerized deployment (Docker, Kubernetes) across cloud, on-premises, and edge targets
• Prior experience in a government, national security, or otherwise regulated environment
• Experience with high-performance analytics or data-intensive systems operating close to the user and the data

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer
• Participation in virtual and in-person meetings
• Ability to attend planned meetings and/or work in classified spaces for extended periods within the specified work regions
• Travel: Up to 20% for customer engagement, integration support, and team collaboration.