Top Tech Jobs & Startup Jobs in Seattle, WA

Configure and optimize a healthcare software platform across customer implementations and live environments. Responsibilities include data conversions, document digitization, workflow configuration, troubleshooting, validation, ticket management, documentation, and coordinating with Implementation, Customer Success, Product, and Engineering teams. The role requires translating customer requirements into accurate system changes, assessing downstream impacts, managing competing priorities, and improving configuration processes and tools.

Own account strategy, renewals, and expansion for enterprise customers. Build executive relationships, identify growth opportunities, lead discovery and negotiations, develop business cases and account plans, and connect customer outcomes to commercial recommendations. Maintain pipeline and forecast accuracy while partnering with Customer Success, Sales, Product, and Implementation. Help scale account management processes, reporting, playbooks, and renewal workflows.

Own post-go-live customer relationships to drive adoption, engagement, and renewal. Assess customer workflows/configuration, run strategic reviews, monitor health metrics, address risks, identify expansion opportunities, surface data-driven insights, and advocate product improvements. Travel to customer sites and conferences up to 25%.

Leads and scales the Implementation function, managing people, strategy, processes, systems, and customer go-lives. Oversees implementations for new and existing customers, develops playbooks and operating metrics, resolves complex configurations, improves automation, and partners cross-functionally with Sales, Customer Success, Support, Product, Engineering, and Data. Coaches Implementation Managers while ensuring successful transitions to Customer Success and scalable delivery as the company grows.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.