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ICEYE

SAR satellite constellation for Earth monitoring

Engineering Team Lead - Geospatial Analytics

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeEspoo, FinlandNo salary listed

About the Job

Requirements

  • A Master's or PhD in Remote Sensing, Machine Learning, Data Science, Electrical Engineering, Geoscience, Physics, Computer Science, or a related field, or equivalent experience.
  • Experience in hands-on leadership as a line manager or tech lead, with a track record of delivery and examples of people who grew under the candidate's leadership.
  • Experience working closely with product and operations teams in a flow-based, outcome-focused way, giving constructive direct feedback and explaining technical trade-offs to non-technical stakeholders.
  • A record of taking analytics from prototype to reliable production against latency, accuracy, and uptime targets, with sound judgment on when a solution is good enough.
  • Experience building, validating, and deploying machine-learning models or analytical pipelines based on SAR or other remote-sensing imagery for tasks such as damage assessment, change detection, or object detection; includes working with noisy or sparse labels, validating against ground truth such as field surveys or claims data, and monitoring model performance in production.
  • A solid grasp of SAR principles, including how backscatter responds to structural change in built environments, and applied experience in change detection using amplitude, coherence, or interferometric (InSAR) methods.
  • Strong Python skills and experience applying modern engineering practices, including Git, code review, testing, continuous integration, and documentation, with deployment using Docker on AWS.
  • Ability to lead cross-functional teams.

Responsibilities

  • Lead and own the product engineering team, including hiring, growth, performance, and wellbeing of team members.
  • Own the team's technical direction across analytics and engineering, taking work from research prototype to production systems that run reliably against customer commitments.
  • Work with the Product Manager on roadmap and priorities, turning customer needs into analytics capability.
  • Design shared change-detection analytics that serve multiple products in the team's portfolio.
  • Collaborate with Operations on event response so delivery workflows, latency, and quality hold up during live events.
  • Contribute directly to analytical development in SAR and geospatial data science or machine learning, as well as validation and code.
  • Set and maintain scientific and engineering standards across the team, including review practices, validation rigor, testing, and documentation.
  • Manage stakeholders, including Product Engineering leadership and product stakeholders.

Desired Qualifications

  • Experience fusing remote-sensing imagery with auxiliary data, such as weather, terrain models, or building attributes, to improve model performance.
  • Experience using geospatial foundation models and embeddings, such as AlphaEarth Foundations, for classification, similarity search, or change detection.
  • Experience with natural hazards, disaster response, insurance, or emergency-management use cases.
  • Hands-on use of AI-assisted development tools in daily engineering work.
  • A publication or patent record, or other evidence of sustained technical contribution.

About the Company

ICEYE

SAR satellite constellation for Earth monitoring

ICEYE builds and operates the world’s largest synthetic aperture radar (SAR) satellite constellation to monitor the Earth continuously, day or night and in any weather. Its SAR satellites capture radar imagery that can see through clouds and darkness, giving customers in defence and intelligence, insurance, emergency management, and environmental monitoring a persistent view of wide areas. Images and analytics are delivered from a network of satellites and, increasingly, sovereign constellations that governments can operate themselves. ICEYE plans to scale up production toward about 100 satellites per year by 2028 and has pursued large funding rounds to expand capacity and sovereign delivery, aiming to grow its revenue and backlog while offering reliable, near-real-time Earth observation data.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.5B
Headquarters
Espoo, Finland
Founded
2012

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