• Own customer deployments end-to-end • Lead delivery of net-new AI agent deployments as the single accountable owner—from customer requirements through production go-live • Treat every deployment as a product launch: define scope, manage tradeoffs, hit timelines, ensure quality • Own the customer-facing roadmap for each deployment—what are we shipping, in what order, and why • Gather requirements directly from customers and translate them into agent behavior yourself using our internal platform • Do hands-on prompt engineering using AI tools to build the components that make agents work • Ship production-ready agents that handle real healthcare complexity • Continuously improve agent performance using structured evals, live call review, and direct customer feedback • Lead deployments for new workflows, integrations, and verticals where no playbook exists • Identify unknowns early, derisk them, and make tradeoff decisions that keep launches on track • Own requirements and prioritization with the engineering team when net-new platform capabilities are needed • Coordinate with conversational designers and customer engineers on integration scoping and stakeholder communication • Identify patterns across launches and codify them into playbooks • Know when a workflow or integration is ready to transition from zero-to-one ownership to steady-state implementation