Mission Assurance Lead
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate mission assurance processes for aircraft operations. You will independently inspect maintenance, documentation, configuration, equipment, and field execution; identify risks and nonconformances; maintain assurance metrics; support investigations; and verify that corrective actions are resolved.
Requirements
- 7+ years of aviation maintenance, maintenance QA, maintenance control, field service leadership, or equivalent mission-critical operational experience
- Ability to build or mature maintenance QA or mission assurance programs
- Expertise in maintenance procedures, logbooks, work orders, discrepancies, configuration control, service bulletin compliance, equipment control, and aircraft release discipline
- Hands-on experience in operational environments
- Knowledge of audit practices, root-cause methods, CAPA, and safety and quality systems
- Ability to travel and support non-standard operational tempos
Responsibilities
- Build and operate a mission assurance model for aircraft operations
- Define inspection strategies, audit cadence, evidence requirements, data standards, and reporting rhythms
- Conduct independent inspections of maintenance, documentation, configuration, release practices, equipment control, ground handling, and field operations
- Verify maintenance quality, data integrity, critical-step completion, and discrepancy management
- Develop standardized evaluation programs, sampling plans, audits, acceptance criteria, and finding categories
- Maintain dashboards for quality, data errors, findings, CAPA status, discrepancies, equipment events, and readiness blockers
- Escalate safety, compliance, and data-integrity risks and recommend appropriate operational restrictions
- Support investigations of mishaps, near misses, maintenance errors, and field failures
- Perform follow-up inspections to verify findings are resolved
- Maintain evidence trails for safety, governance, quality, and customer assurance
Benefits
- Bonus
- Equity