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Serve as the primary client contact and subject matter expert for Waystar revenue cycle implementations. Manage setup and design issues, ensure contractual deliverables, build trusted client relationships, communicate challenges and solutions, recommend remediation and costs, and report on customer success and project status.

Manage a queue of EDI enrollment cases, process enrollment requests, communicate with payers and clients, document case progress, meet SLAs/KPIs/QA goals, and analyze and resolve enrollment issues.

As a Senior Software Engineer, you'll design, implement, and improve scalable healthcare solutions, work collaboratively in technical discussions, and ensure engineering excellence.

Entry-level sales training role to learn Waystar products and sales techniques, generate leads, prospect customers, prepare presentations/contracts, manage accounts, and execute territory strategies to drive market penetration.

Entry-level sales training role that develops selling skills, generates leads, prospects and closes accounts, prepares presentations and proposals, manages daily sales activities, builds account relationships, implements territory strategies, and supports marketing-driven referrals and competitive awareness.

The Manager Solution Adoption leads a team to enhance client onboarding and satisfaction for healthcare payment services, focusing on operational efficiency and quality improvement.

Drive consultative sales of Waystar's healthcare payments platform by prospecting, preparing proposals and presentations, managing territories and relationships, tracking activity, and meeting quota.

Develop and optimize ML pipelines and Language Models, implement agentic AI systems, deploy ML components on GCP, and improve models based on feedback.

The Software Engineering Manager will oversee software engineering and QA teams, ensuring project success, coaching team members, and collaborating with product and technology leadership.

The position involves building AI systems using language models, managing ML pipelines, and requiring expertise in MLOps and cloud services.