The Sr. Data Engineer will design and implement data pipelines for healthcare analytics, ensuring compliance and optimizing systems for AI application. Responsibilities include managing databases, collaboration with teams, and applying healthcare data standards.

The HR Business Partner will lead employee relations, performance management, and cultural initiatives, ensuring alignment with business objectives and a positive employee experience globally.

The Client Success Manager oversees client relationships, drives adoption, ensures satisfaction, and collaborates with cross-functional teams to enhance client experience.

The role involves designing and automating scalable cloud platforms, improving SDLC efficiency, managing CI/CD workflows, and ensuring operational readiness.

The Director of Financial Solution Sales will develop and execute sales strategies, manage quotas, mentor team members, and collaborate with leadership to drive growth.

The Sales Executive is responsible for generating sales, maintaining client relationships, and collaborating with teams to ensure service delivery, requiring strong negotiation and communication skills.

The Client Success Manager II oversees enterprise client satisfaction and retention, collaborates with stakeholders, manages strategic accounts, and identifies growth opportunities.

The Executive Administrative Assistant supports executive leadership by managing calendars, coordinating travel, handling correspondence, and ensuring efficient operations.

The Technical Product Owner collaborates with product managers and engineering leads to deliver AI-based healthcare solutions, ensuring technical soundness, compliance, and operational standards through precise specifications and oversight.

The Principal Data Engineer defines the enterprise data architecture, drives modernization initiatives, establishes governance frameworks, and mentors engineers, ensuring strategic alignment with business objectives.

The Sr. Staff Data Engineer will lead architecture design for enterprise data platforms, mentoring teams, and ensuring compliance while driving complex initiatives for scalability and reliability.

The Staff Engineer, Data Modeler will design data models and architecture for healthcare data, ensuring data governance, quality, and implementing real-time ingestion processes. The role includes collaboration with stakeholders to optimize data architecture solutions and document technical decisions and data mappings.

The Manager, Software Development oversees the entire software development process, manages the agile teams, and ensures compliance with established objectives.

The role involves overseeing cloud infrastructure, guiding various engineering teams, and architecting scalable cloud platforms while ensuring alignment with business goals.

The VP, Sales will develop sales strategies and ensure revenue goals are met, requiring strong leadership and market research skills. He/She will also collaborate with cross-functional teams and manage customer relationships while overseeing significant sales operations with frequent travel.

The Sales Executive is responsible for selling company products, maintaining customer relationships, and executing sales plans and presentations.

The MLOps Engineer will streamline deployment, monitoring, and scaling of machine learning models, collaborating across teams to optimize operations and ensure reliability.

The VP of RCM Sales strategizes and drives growth in sales, leads a sales team, establishes quotas, and collaborates with senior executives to maximize client outcomes.

The role focuses on infrastructure automation using AI tools like AWS and Python, managing CI/CD pipelines, and database maintenance. Responsibilities include incident response, configuration management, and service monitoring while ensuring reliable deployments and application performance.

The Data Modeler is responsible for designing, implementing, and managing data models and architecture, enabling efficient large-scale healthcare data utilization, ensuring data governance, quality, and real-time data ingestion.