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Own the technical product lifecycle for Navigator: align architecture with product intent, translate partner and government system integrations into engineering requirements, run pre-development sessions, write architecture-aligned specs, participate in sprints, and ensure clean handoffs through deployment.

Manage end-to-end capture and proposal efforts for federal opportunities (DoD/DoW and civilian agencies). Develop proposal plans, write and edit volumes, run color-team reviews, support capture research and win themes, maintain proposal library, and implement process improvements to scale proposal throughput and win rate.

Lead mission-aligned growth in defense, federal, and commercial logistics by identifying opportunities, developing account and capture plans, conducting customer discovery, shaping solicitations, supporting proposals, and translating operational needs into product and partner requirements. Build pipeline, maintain stakeholder relationships, coordinate partners, and ensure product positioning aligns with mission workflows and acquisition realities.

Own technical delivery for defense customers: integrate Navigator with existing logistics systems, build and optimize data pipelines, create onboarding playbooks and tooling, troubleshoot escalations, and feed customer needs into product roadmap while representing Gallatin on-site and at reviews.

Support the Head of Growth by building commercial operating systems: run CRM and sales ops, create account dossiers and playbooks, perform market and competitive analysis, develop partnerships, maintain tooling and integrations, and scale workflows using modern AI tools. Travel up to 25% and work with stakeholders across Product, Engineering, and Legal.

Gallatin is seeking exceptional engineers to build AI systems for logistics decisions in national security. The role emphasizes direct communication, ownership, and problem-solving in a high-stakes environment.

The Engagement Manager for Special Projects at Gallatin is responsible for managing customer relationships, ensuring technology adoption, leading project teams, and delivering AI/ML solutions to support customer objectives.

Design and implement algorithms for packing and allocation in logistics, ensuring operational feasibility. Manage data and integrate solutions into workflows.

The AI Software Engineer will develop and deploy AI-powered solutions, build MLOps pipelines, integrate data sources, and ensure model performance in a logistics context.

Lead design, deployment, and operation of AI platforms in critical government spaces, engaging with stakeholders and enhancing solutions.