VP of Defense & Intelligence Solutions Engineering

Planet Labs PBC

Arlington (VA)

Hybrid

USD 257,000 - 322,000

Full time

6 days ago
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Benefits offered by this job

Medical, Dental, Vision
HSA with company contribution
PTO + holidays

Job summary

Planet Labs PBC is seeking a Vice President of Defense and Intelligence Solutions Engineering to lead the software engineering organization responsible for dual-use products such as Global Monitoring Service (GMS) and Marine Domain Awareness (MDA).

You will own architecture, delivery, and ITAR/EAR compliance across cloud-based platforms, directing teams across software, AI/ML, analytics, and forward deployed engineering.

Qualifications

  • Requires 15+ years in software engineering and systems architecture.
  • 8+ years leading and scaling multi-disciplinary engineering orgs.
  • Experience managing teams and data handling under ITAR/EAR regulations.
  • Track record in end-to-end dual-use or defense software at scale.

Responsibilities

  • Lead multi-disciplinary software engineering teams (software, data/ML, platform, infra).
  • Define software architecture, data models, and technical standards for high-throughput geospatial analytics.
  • Ensure ITAR/EAR compliance in deployment pipelines and development standards.
  • Translate market vision and defense requirements into scalable engineering roadmaps and sprints.
  • Direct integration of ML models and agentic workflows into the product stack.
  • Drive reliability, SLA adherence, and secure cloud deployment across environments.

Skills

Leadership
ITAR/EAR compliance
Security clearance
Distributed cloud

Education

Bachelor's degree in CS/Engineering

Job description

Planet Labs PBC is seeking a Vice President of Defense and Intelligence Solutions Engineering to lead the software engineering organization responsible for dual-use products such as Global Monitoring Service (GMS) and Marine Domain Awareness (MDA).

You will own architecture, delivery, and ITAR/EAR compliance across cloud-based platforms, directing teams across software, AI/ML, analytics, and forward deployed engineering.

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