Design and deploy end-to-end multimodal geospatial AI models and scalable ML infrastructure. Provide technical leadership and mentorship to the team while translating product vision into technical roadmaps.
Neural Earth
9 Remote Job Openings at Neural Earth
Architect the go-to-market positioning and messaging strategy to translate AI and geospatial technology into value propositions for enterprise buyers. Develop sales enablement programs and high-quality market content to support the full buyer journey and drive pipeline growth.
Serve as the technical bridge between the platform and customers by owning the technical win from discovery through proof of value. Partner with account executives to deliver tailored demonstrations and translate customer feedback into product roadmap input.
Lead the end-to-end design of a geospatial intelligence platform, focusing on map-based risk dashboards and AI-assisted workflows. Collaborate with engineering and data science teams to translate complex spatial data into intuitive interfaces for non-technical users.
Lead the weather and atmospheric analytics function by designing and deploying Python-based geospatial models to quantify atmospheric hazards. Translate complex scientific findings into actionable intelligence products for insurance, government, and infrastructure clients.
Design and scale a cloud-native platform optimized for geospatial and AI/ML workloads. Own the internal developer platform, including CI/CD pipelines, infrastructure-as-code, and observability systems.
This is an open submission for various roles across Product Engineering, Data Science, Revenue, and G&A. Candidates will contribute to a decision intelligence platform that unifies planetary, governmental, and asset-level data.
Design and deploy state-of-the-art AI models for satellite imagery analysis, change detection, and hazard prediction. Lead the ML strategy, mentor engineers, and establish model governance practices for scalable production inference.
Develop and maintain full stack web applications, focusing on the front-end architecture and user interface for complex geospatial data. Own the back-end logic and database integration to ensure scalable application performance and seamless API delivery.
