1 day ago
Berlin, GermanyEntry Level
Responsibilities
- Architect, design, pilot, and operationalize solutions that align customer requirements with business and technology strategies.
- Deliver workshops, tailored demo applications, user workflows, and solution prototypes.
- Support pre-sales, customer expansions, technical proposals, and solution ideation using remote-sensing, geospatial, AI, machine-learning, image-processing, and geo-programming expertise.
- Act as technical lead for solution-development teams and collaborate with product, project-management, engineering, sales, legal, proposals, and business-development stakeholders.
- Own customer-success activities from discovery and scoping through delivery, training, value realization, and expansion.
- Champion Planet’s products through training, conferences, technical tutorials, articles, and videos.
Requirements
- 4+ years of relevant work experience in a technical geospatial or remote-sensing role.
- Bachelor’s degree in GIS, Computer Science, Remote Sensing, Geography, or a related field.
- Background in remote sensing, geoscience, or geoinformatics.
- Extensive Python programming ability for geospatial applications, imagery processing, vector-data manipulation, and data pipelines.
- Experience with solution design, requirements gathering, user-story ideation, design documentation, architecture, and prototyping.
- Proficiency with QGIS, ArcGIS, GDAL, ENVI, or comparable geospatial software.
- Industry knowledge in areas such as forestry, natural disasters, sustainability, or agriculture.
- Familiarity with GCP, AWS, and Azure cloud-computing environments.
- Experience working in Agile, cross-functional teams and with metrics-based planning and delivery.
- Experience using AI for productivity, coding, and demo-app creation, including Streamlit.
- Ability to run user workshops and training sessions and provide end-user troubleshooting.
- Preferred: advanced machine learning applied to geospatial data; experience with Claude, Google Functions, CI/CD integrations, Vertex AI, Amazon Bedrock, JavaScript mapping libraries, and React.
Benefits
- Paid time off including vacation, holidays, and company-wide days off.
- Employee Wellness Program.
- Home Office Reimbursement and monthly phone and internet reimbursement.
- Tuition reimbursement and access to LinkedIn Learning.
- Equity and Volunteering Paid Time Off.
- Full-time hybrid role requiring work from the Berlin office three days per week.
- Application deadline: November 30, 2026 at 11:59 p.m. CET.
Categories
Solutions Engineering