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Planet Labs

Sells satellite imagery and geospatial analytics

Vice President Defense and Intelligence Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 15 years of experience in software engineering and systems architecture, focused on high-scale data, computer vision, or geospatial applications.
  • At least 8 years of direct experience leading and scaling multidisciplinary engineering organizations across software, data and machine learning, platform, and cloud infrastructure.
  • Direct experience managing engineering teams, software build pipelines, and data handling governed by the International Traffic in Arms Regulations and Export Administration Regulations.
  • A track record of architecting, building, and operating end-to-end dual-use or defense software applications at scale, such as domain awareness, automated change detection, or spatial monitoring platforms.
  • Active high-level government security clearance, or eligibility to obtain top-secret clearance upon hire.
  • Deep technical expertise in distributed cloud architectures, high-throughput data processing pipelines, application programming interface infrastructure, and machine learning model integration.
  • Ability to drive software delivery metrics, maintain high operational availability and service-level agreements, and establish rigorous engineering practices.
  • A bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field, or equivalent practical experience.

Responsibilities

  • Lead, mentor, and scale multidisciplinary software engineering teams across software, data and machine learning, platform, and infrastructure to build and maintain end-to-end dual-use products such as Global Monitoring Service and Marine Domain Awareness.
  • Define software architecture, data models, and technical standards for high-throughput geospatial analytics, real-time alerting, and automated detection platforms at scale.
  • Oversee engineering development standards and deployment pipelines to ensure technical compliance with the International Traffic in Arms Regulations and Export Administration Regulations.
  • Partner with Product Management to translate market vision and defense mission requirements into engineering roadmaps, system designs, and execution sprints.
  • Direct the technical integration of advanced machine learning models, analytics, and agentic workflows into the dual-use product stack.
  • Drive software engineering metrics, system reliability, low-latency processing, and secure cloud deployment architectures across commercial and sovereign environments.

Desired Qualifications

  • A master's degree or Ph.D. in Computer Science, Software Engineering, Machine Learning, or a relevant technical discipline.
  • Direct engineering experience building foundation models for remote sensing use cases, agentic platforms, or automated tip-and-cue execution loops.
  • Background developing software for secure government environments, air-gapped systems, or sovereign cloud deployments, such as AWS GovCloud or C2S.
  • Experience with multi-sensor data fusion workflows, including optical satellite imagery and Synthetic Aperture Radar.

About the Company

Planet Labs

Sells satellite imagery and geospatial analytics

Planet Labs sells satellite imagery, geospatial data and analysis software to businesses, researchers and public agencies. Its Earth observation services help customers monitor changes in land use, infrastructure and natural resources, while tasking lets users request imagery of specific places. Customers access data through subscriptions, web tools and APIs, and can combine imagery with analytic feeds in their own workflows. The company also offers dedicated satellite capacity and constellation services, extending its business beyond image licensing to tailored observation systems. Founded in 2010, Planet Labs is headquartered in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

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