About the RoleWe're looking for a
Mission Operations Engineer to join our
Field Engineering team and play a foundational role in deploying Navigator, our AI-first defense logistics platform, across our most strategic public sector accounts. As a Field Engineer at Gallatin, you sit at the intersection of customer delivery, engineering, and product, owning the technical relationship with our largest customers and ensuring they unlock the full operational value of what we're building.
You will work alongside customer engineering and logistics teams to integrate Navigator into their existing systems and workflows, from initial onboarding through production-grade deployment. You are a generalist software engineer who thrives in ambiguity, builds trust quickly with both front-line operators and senior program leadership, and finds genuine satisfaction in solving hard problems alongside the people they affect.
What You'll Do- Implement end-to-end data integrations, connecting customers' existing logistics and sustainment systems to Navigator and back
- Partner with customer engineering teams to optimize data pipelines, including advising on API endpoint design and input/output schemas suited to defense logistics data
- Design, develop, and maintain playbooks, internal tooling, and documentation to help customers onboard quickly and scale sustainably
- Debug technical issues impacting delivery, own technical escalations, and partner with Gallatin's Product and Engineering teams to remove blockers
- Be the technical owner of the customer experience throughout the lifecycle of their engagement, from onboarding to daily operational use
- Work with Engagement Managers to surface customer-specific feature requests and feed them into the product roadmap
- Build deep domain expertise in defense logistics, AI/ML applied to sustainment operations, and enterprise system integrations (e.g., MSS, Advana, Vantage, Envision)
- Represent Gallatin at customer sites, program reviews, and key industry events
What We're Looking For- Track record of success in a hybrid customer-facing engineering role, comfortable wearing multiple hats
- Prior hands-on technical experience working with clients in pre- or post-sales, implementation, or program delivery contexts
- Proficiency in Python, JavaScript, or similar modern languages
- Strong engineering background, preferably in Computer Science, Mathematics, or a related quantitative field
- Strong project management and interpersonal skills
- Ability to communicate technical concepts clearly to both senior executives and front-line engineers
- High comfort level operating across internal and external organizations in fast-moving, ambiguous environments
- Intellectual curiosity, empathy, and the ability to operate with high velocity
- Hold an active clearance or eligible to to obtain and maintain an active U.S. security clearance
- Willingness to travel up to 50% of the time
Bonus Points- Experience in AI/ML or data engineering
- Prior work in logistics, sustainment, or supply chain operations
- Experience working in classified environments
- Previous experience as a technical implementation or go-to-market resource
- Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD
- Hands-on experience with Kubernetes and Helm charts
- CompTIA Security+
- Familiarity with enterprise defense systems (e.g., MSS, Advana, Vantage, Envision)
