AI Solutions Engineer [Earth Observation/GIS]

Role overview Turn customer challenges into practical AI workflows for satellite, aerial, drone, and other geospatial data. You’ll guide enterprise implementations from onboarding through production, combining hands-on model and workflow work with customer collaboration and feedback that informs product development.

Responsibilities - Lead technical onboarding and implementation for enterprise customers. - Configure projects, prepare spatial datasets, and train computer vision models. - Design and improve geospatial workflows, model performance, and data quality. - Guide customers from initial data upload through production deployment and workflow integration. - Run product training and technical workshops; support sales evaluations and pilots. - Share implementation feedback with product and engineering teams, and develop reusable solution materials.

Requirements - Degree in GIS, remote sensing, computer science, AI, machine learning, data science, engineering, or a related field. - Experience with geospatial technologies, Earth observation, computer vision, or machine learning. - Hands-on work with satellite, aerial, drone imagery, or other spatial datasets. - Familiarity with model training, data annotation, and computer vision or machine learning pipelines. - Strong problem-solving skills and ability to translate customer needs into technical approaches. - Excellent English communication; German is an advantage.

Nice to have - Experience with SaaS, cloud platforms, or startup environments.

Benefits and work setup The role is based in Germany and requires eligibility for a German employment contract. It starts remotely, with an expected transition to a hybrid arrangement that includes regular time in Berlin or Darmstadt. The source describes a permanent contract, flexible hours, performance bonus and equity, and occasional travel to customer sites and industry events in Europe.