Teams at Ellipsis Health

Own customer-facing analytics and reporting for a voice AI healthcare product. Lead customer data implementations, troubleshoot ingestion and mapping issues, prepare internal teams for campaign execution, develop dashboards, define performance metrics, and standardize reporting. Coordinate data and QA engineers through agile delivery while scaling onboarding workflows, improving implementation velocity, and expanding analytics capabilities for payer and provider customers.

Build and operate highly reliable, scalable production, development, and QA environments for AI/ML services, APIs, and web applications. Responsibilities include Kubernetes cluster management, CI/CD and GitOps automation, security scanning integration, observability, access controls, audit logging, disaster recovery, availability improvements, and cloud cost optimization. The role requires strong cloud, infrastructure-as-code, DevOps, programming, and security experience.

Lead the post-sales lifecycle for enterprise healthcare customers deploying Ellipsis Health’s conversational AI care manager. Own implementation delivery, adoption, retention, expansion, lifecycle operations, sales-to-delivery alignment, product feedback, and customer success playbook development. Partner cross-functionally with Commercial, Product, Engineering, and Operations to deliver measurable clinical and operational value, establish predictable deployment processes, and scale customer success operations.