Note: The job is a remote job and is open to candidates in USA. TurbineOne is building Mission-AI for the Frontlines, focusing on delivering AI software for military and national security operations. The Field Engineering Manager will lead the Field Engineering function, overseeing technical leadership for field integrations and managing a team of Field Engineers to ensure reliable deployment of the Frontline Perception System.
Responsibilities
- Manage and mentor a high-performing team of field engineers, fostering a culture of ownership and technical excellence
- Define and standardize deployment workflows and integration playbooks to improve repeatability and reliability
- Ensure the operational readiness of field personnel through continuous training, robust documentation, and deployment guides
- Set the technical strategy for field integrations, identifying gaps in current processes and implementing scalable solutions
- Lead the implementation and improvement of field engineering tooling, scripts (Python, Go, Bash), and automation workflows
- Serve as the primary escalation point for complex technical integration challenges and troubleshoot high-stakes mission issues
- Oversee the provisioning and configuration of FPS deployments within customer-owned tactical edge systems
- Ensure secure software delivery into comms-contested environments where speed and operational resilience are paramount
- Partner with Security and Product teams to align field implementation patterns with government compliance and mission requirements
- Work closely with Engineering, Product, Security, Mission Operations, Field Engineering, and executive leadership
- Translate business priorities into actionable Field Engineering initiatives
- Clearly communicate priorities, risks, dependencies, timelines, and technical tradeoffs
- Support customer deployments, demonstrations, exercises, and mission events as needed
- Ensure every Field Engineer is fully prepared before customer deployments, including technical readiness, certifications, and required training
- Maintain readiness tracking for personnel, specialized technical skills, software versions, deployment kits, and customer-specific requirements
- Develop and maintain standard operating procedures supporting field operations
- Establish metrics and dashboards for deployment readiness, utilization, customer support, and operational performance
- Conduct post-deployment reviews to capture and implement operational lessons learned
Skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline, or equivalent practical experience
- 7+ years of experience in Field Engineering, Systems Integration, Solutions Architecture, or related technical deployment roles
- 4+ years of experience leading or managing technical teams
- Extensive experience with Linux systems, networking, and deploying software in complex or edge-based infrastructure
- Experience with Docker and containerized application deployment
- Strong proficiency in scripting languages (e.g., Python, Bash) for automation and data routing
- Experience supporting production software deployed into customer-controlled, hybrid, or mission environments
- Demonstrated ability to prioritize competing technical work while leading high-performing engineering teams
- Strong understanding of networking, cloud infrastructure, infrastructure-as-code, automation, monitoring, logging, and operational reliability
- Excellent written and verbal communication skills
- U.S. Citizenship
- Ability to obtain and maintain a U.S. Security Clearance
- Active Top Secret or Secret Security Clearance
- Experience supporting Department of Defense or Intelligence Community software programs
- Experience supporting software accreditation activities, including RMF, ATO, and IATT processes
- Experience with Terraform, Helm, or similar modern infrastructure tooling
- Experience deploying software into tactical edge, disconnected, or customer-hosted environments
- Familiarity with secure software supply chain practices and modern DevSecOps principles
- Experience working in high-growth startup environments
- Experience supporting AI/ML platforms, edge computing, or mission software
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