Jobs at Neural Earth

Lead and build Neural Earth's geospatial data science function: design and deploy Python-based geospatial models, architect production geospatial data pipelines, validate reproducible methods, translate scientific outputs into customer-ready products, and manage and mentor at least one direct report while advising customers and stakeholders.

Own the customer journey from pre-sales solution design through enterprise implementation, onboarding, go-live, adoption, and expansion. Build customer-specific demos and ROI cases for P&C insurance workflows, configure SaaS and data products, coordinate integrations, and ensure rapid time to value. Translate customer feedback into product priorities while partnering with underwriting, finance, technical, and executive stakeholders. Establish scalable scoping, launch, measurement, and customer success processes in an early-stage startup environment.

Open submission for candidates interested in Product Engineering, Data Science, Revenue, or G&A at Neural Earth. Submit your resume and links describing your background and desired roles; submissions are reviewed on a rolling basis. Company focuses on AI research, geospatial science, distributed systems, and enterprise deployment, offering competitive compensation and comprehensive benefits.

Lead end-to-end design for a geospatial AI platform: craft map-based dashboards and AI-assisted workflows, run user research and usability tests, produce production-ready specs and browser prototypes, and partner with engineering and data science to evolve the design system.