Own end-to-end customer implementations of Spherecast’s supply chain platform, from technical discovery and data integration through deployment, go-live, and adoption. Configure customer data, workflows, and planning parameters; troubleshoot synchronization and data-quality issues; build backend, frontend, dashboards, and workflow improvements; and lead customer communications. Create reusable tooling and documentation while coordinating with product and engineering teams.

Own the integration layer connecting Spherecast with ERPs, FTP and S3 sources, data warehouses, and custom sheets. Build scalable, fault-tolerant, near-real-time pipelines handling large data volumes; orchestrate syncs; validate, normalize, and upsert data; and implement safe write paths for AI-approved ERP actions. Develop round-trip tests, monitoring, structured logging, alerting, auditability, and reusable connector architecture while working directly with customer operators and IT teams.

Build and operate Spherecast OS, a real-time platform for consumer-goods supply chains. Own full-stack features from data models and APIs through data-dense planning interfaces. Design scalable architectures, optimize SQL queries over large datasets, write backend and frontend tests, and work directly with supply-chain operators to deliver product outcomes. The role uses Python, FastAPI, Vue or React, TypeScript, and Tailwind CSS, with bonus exposure to data ingestion, DevOps, and AWS.