Solutions Architect

Join Planet's Professional Services team as a Solutions Architect. In this role, you will leverage your remote sensing, geospatial, and scientific background to design and architect solutions that provide customers with long-term value. You will work closely with customers to understand their problems and guide them to success with Planet's product offerings. Your efforts will directly impact customers' ability to make global change actionable.

• Architect, design, pilot and operationalize solutions, transforming customer requirements into robust solution architectures that align with your customer’s business and technology strategies.
• Deliver workshops, tailored demo-apps, and workflows, designing user experiences for solution prototyping and continuously improving the applications that customers experience.
• Support pre-sales and customer expansions on solution ideation and design by leveraging your remote sensing, geospatial, and geoinformatics knowledge, alongside technology experience in AI, machine learning, image processing, and geo-programming.
• Experience working in Agile, cross-functional teams, with knowledge and familiarity of efficient, metrics-based planning and delivery
• Bachelor’s degree in GIS, Computer Science, Remote Sensing, Geography, or a related field
• Ability to run workshops or training sessions with users, including working directly with end-user troubleshooting
• Experience using AI for productivity, coding, and demo app creation (e.g., using Streamlit)
• Industry-specific knowledge and experience in domains such as forestry, natural disasters, sustainability, and agriculture
• 4+ years of relevant work experience in a technical geospatial or remote sensing role
• Experience with solution design, requirement gathering, product user story ideation, solutions design documentation, architecting and prototyping
• Familiarity with cloud-computing environments such as GCP, AWS, and Azure
• A background in remote sensing, geoscience, or geoinformatics
• Proficiency with QGIS, ArcGIS, GDAL, ENVI or other common geospatial software
• Extensive programming ability with Python for geospatial applications, applying code best practices to process imagery, manipulate vector data, and build data pipelines
• Knowledge of the Challenger methodology for liaising with clients - supporting them and helping them see what they are not seeing, especially as you guide them on the solutions journey
• Advanced experience with machine learning algorithms applied to geospatial data, and the use of Claude and AI for geospatial application
• Working knowledge of modern cloud tools and pipelines, including Google Functions, CI/CD integrations, Vertex AI and Amazon Bedrock
• Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript) as well as web development frameworks like React