Director of Geospatial AI

Role overview

Set the technical direction for AI across satellite-based hyperspectral Earth observation, geospatial intelligence, and autonomous sensing. This senior, hands-on leadership role combines AI strategy and architecture with research direction, team building, and the delivery of dependable production systems that turn complex sensor data into useful operational insights. The role is part of the management team and works across engineering, product, satellite operations, mission, and commercial functions.

Responsibilities - Define the AI vision, technical strategy, and roadmap, prioritizing opportunities across imagery, analytics, mission operations, onboard autonomy, and customer products. - Lead AI/ML design, development, deployment, and operations, including models for image understanding, detection, classification, anomaly analysis, forecasting, sensor fusion, and temporal analysis. - Set architecture and model strategy for scalable AI pipelines, cloud and edge inference, MLOps, and data capabilities. - Guide research and innovation, including foundation models, onboard inference, intellectual property, publications, and external partnerships. - Build and lead multidisciplinary teams; establish development, deployment, monitoring, and improvement practices. - Connect research and technical investment to product delivery, customer needs, business outcomes, and responsible AI expectations.

Requirements - Significant senior AI/ML leadership experience, including building technical teams and delivering production-grade systems. - Deep expertise in machine learning and a relevant area such as computer vision, geospatial AI, remote sensing analytics, or scientific computing. - Experience with hyperspectral imaging and with AI in complex, data-intensive, or sensor-driven settings. - Strong understanding of modern ML practices, model lifecycle management, scalable infrastructure, and production deployment. - Ability to connect technical work to customer and commercial outcomes, and to lead across engineering, product, research, and business teams. - Strong communication and stakeholder skills, fluency in English, and comfort in a fast-moving deep-tech environment.

Nice to have - A master’s or doctoral degree in computer science, machine learning, remote sensing, engineering, applied mathematics, physics, or a related field. - Experience with patents, scientific publications, or advanced research collaborations.

Benefits and work setup - Based in Espoo, Finland, or fully remote within three hours of Eastern European time; occasional travel for customer meetings and industry events. - Health coverage includes dental care and short-term psychotherapy, plus an annual sports, culture, and transport benefit. - Relocation support and help learning Finnish language and culture may be available to those moving to Finland. - The role offers ongoing learning and opportunities to work with satellite, space, Earth observation, and AI technologies.