5-7 years in a hybrid customer-facing engineering role
Hands-on experience in pre- or post-sales contexts
Proficient in Python, JavaScript, or similar languages
Degree in Computer Science, Mathematics, or related field
Strong project management and communication skills
Ability to navigate fast-paced, ambiguous environments
Eligible for an active U.S. security clearance
Willingness to travel up to 50% of the time
Responsibilities
Implement end-to-end data integrations with customer systems
Partner with teams to optimize data pipelines and API designs
Design and maintain documentation for customer onboarding
Debug technical issues and partner with product teams
Own the technical experience throughout customer engagement
Collaborate to surface customer-specific feature requests
Build expertise in defense logistics and AI/ML integrations
Represent Gallatin at customer and industry events
Benefits
Join a mission-driven startup improving defense logistics readiness
Collaborate with passionate engineers and defense experts
Receive competitive compensation with options grant
Enjoy unlimited PTO and a comprehensive healthcare plan
Participate in a 401k plan with company contributions
Benefit from free office lunches and snacks
Full Job Description
About the Role
We'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)
