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Gallatin AI

Defense logistics platform with AI-driven 3PL

Mission Operations Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Candidates should have a track record of success in a hybrid customer-facing engineering role and be comfortable wearing multiple hats.
  • Candidates should have prior hands-on technical experience working with clients in pre-sales, post-sales, implementation, or program delivery contexts.
  • Candidates should be proficient in Python, JavaScript, or similar modern programming languages.
  • Candidates should have a strong engineering background, preferably in Computer Science, Mathematics, or a related quantitative field.
  • Candidates should have strong project management and interpersonal skills.
  • Candidates should be able to communicate technical concepts clearly to senior executives and front-line engineers.
  • Candidates should be comfortable operating across internal and external organizations in fast-moving, ambiguous environments.
  • Candidates should hold an active clearance or be eligible to obtain and maintain an active U.S. security clearance.
  • Candidates should be willing to travel up to 50% of the time.

Responsibilities

  • 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 application programming interface 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 Product and Engineering teams to remove blockers.
  • Be the technical owner of the customer experience throughout the lifecycle of the 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 domain expertise in defense logistics, artificial intelligence and machine learning applied to sustainment operations, and enterprise system integrations such as MSS, Advana, Vantage, and Envision.
  • Represent Gallatin at customer sites, program reviews, and key industry events.

Desired Qualifications

  • Experience in artificial intelligence, machine learning, 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 continuous integration and continuous delivery.
  • Hands-on experience with Kubernetes and Helm charts.
  • CompTIA Security+ certification.
  • Familiarity with enterprise defense systems such as MSS, Advana, Vantage, and Envision.

About the Company

Gallatin AI

Defense logistics platform with AI-driven 3PL

Gallatin AI builds an AI-powered defense logistics platform to improve supply chain efficiency across the first, middle, and last mile for defense clients. It acts as a secure 3PL, handling vendor qualification, transportation, inventory, storage, and fulfillment, while delivering real-time demand insights. Tools like Navigator and Burrow collect and analyze logistics reports so battalion-level personnel can make informed decisions; AI forecasts needs and optimizes resupply. Its goal is to support domestic modernization and international deployment by providing compliant, end-to-end logistics that sustain regional operations and combined missions.

Company size
51-200
Company stage
Series A
Total funding
$65M
Headquarters
El Segundo, CA
Founded
2024

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