Top Tech Jobs & Startup Jobs

The Client Success Manager serves as a key contact for clients, enhancing satisfaction by monitoring performance metrics, leading project management tasks, and supporting client engagement with Waystar's technology. Responsibilities include relationship building, delivering training, and conducting data analysis to improve processes.

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

The Solution Adoption Consultant ensures successful implementation of Waystar products in healthcare, managing client relationships and addressing issues to drive satisfaction.

The Sr. Systems Engineer II leads the architecture and implementation of enterprise systems, focusing on security and scalability. Responsibilities include overseeing cloud services, mail systems, and change management, mentoring engineers, and driving architectural discussions across teams.

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

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 Manager leads a team focused on delivering high-quality service to trading partners, utilizing AI tools for operational efficiency and continuous improvement. This involves coaching, performance management, and cross-functional collaboration to achieve set metrics.

The Enterprise Technical Support Analyst provides front-line support for strategic clients, addressing inquiries via phone and web portal, ensuring timely issue resolution, and maintaining professionalism throughout communications.

The Machine Learning Engineer will design and develop ML models, manage data pipelines, collaborate with teams, and improve model performance in healthcare applications.

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