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As a Senior Software Engineer at EliseAI, you'll enhance core software that automates patient experience, develop new features, and improve software architecture while driving engineering best practices. Your role will involve collaborating with a team to innovate AI solutions in healthcare, requiring problem-solving and a strong understanding of system design.

As a Data Engineer, you will design, develop, and maintain data infrastructure and ETL pipelines to enable data-driven decision making at EliseAI. You will work closely with various teams to optimize data reliability and efficiency, create reporting solutions, and support data infrastructure needs.

The Brand Designer will develop and refine visual designs that align with brand standards. Responsibilities include creating multimedia narratives, evolving the brand system, and managing design projects to ensure high-quality outcomes that meet user needs and business goals.

The Senior Technical Customer Success Manager will build strategic relationships with clients, ensure successful adoption of EliseAI's products, provide world-class support, and collaborate with internal teams to address customer needs. Responsibilities include understanding customer requirements, communicating product value, and optimizing customer performance while preventing churn.

As a Senior Software Engineer at EliseAI, you will build and improve user-facing features in collaboration with a cross-functional team. Your responsibilities include designing scalable APIs, developing modular components for both frontend and backend, and leading product launches by gathering client feedback for continuous improvement.

The Events Manager at EliseAI will manage and execute various events, ensuring alignment with business objectives and marketing strategies. Responsibilities include planning industry events, overseeing logistics, liaising with vendors, and collaborating with internal teams to enhance brand visibility and sales objectives.

As a Data Analyst at EliseAI, you will drive data-driven decision making across various company sectors, refine ambiguous inquiries into actionable data analysis, develop metrics for success, and collaborate with engineers to improve data integrity. Your goal is to unlock new business opportunities through quantitative insights and support executive decision making with clean, accessible client and performance data.