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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.

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.

Maintain and operate CI/CD pipelines, containerized infrastructure, and AWS cloud environments (ECS/ECR Fargate). Monitor systems, support incident response, perform steady-state operational work, and ramp into existing tooling. Use Terraform/IaC and Python for automation; Kubernetes and cybersecurity experience are valuable. Collaborate with platform team to keep deployments reliable while scaling.

Design, develop, and deploy state-of-the-art deep learning models for multimodal and satellite imagery; own ML architecture, infrastructure, model registries, and inference services; mentor the team, translate product vision into technical roadmaps, and integrate research into production-ready, scalable geospatial AI systems.