As an Enrollment Specialist, you will conduct outbound calls to engage eligible members, guide them through the enrollment process, and educate them about chronic disease management while meeting sales goals. You will utilize motivational interviewing and active listening skills, ensuring adherence to PHI and HIPAA regulations.

The Senior Software QA (Manual + Automation) at Dario will design and execute manual and automated test cases, perform various types of testing, develop automation scripts, and ensure high software quality. The role involves working closely with developers in an Agile environment and continuously improving testing strategies.

The Data Engineer is responsible for designing, developing, and maintaining data infrastructure, optimizing performance, collaborating with cross-functional teams, and supporting data-driven decision making. This role requires expertise in data warehousing, ETL processes, and cloud technologies, with a focus on building scalable data pipelines and systems.

The Marketing Manager will oversee marketing automation, manage campaigns, analyze performance, and enhance brand visibility through social media and events, collaborating cross-functionally to support business growth.

The Senior QA Automation Engineer at Dario will design, develop, and maintain automated test scripts for web, mobile, and API testing. Responsibilities include implementing automation frameworks, integrating tests into CI/CD pipelines, and collaborating with cross-functional teams to ensure software quality and strategic testing practices.

The IT Manager at Dario is responsible for designing and maintaining the company's IT ecosystem, overseeing IT budgeting and vendor management, managing IT operations, implementing systems integrations, and promoting efficiency improvements across IT processes while ensuring system security and compliance with regulations.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, optimizing performance, and ensuring the reliability of data pipelines. They collaborate with teams to support data-driven initiatives and build scalable data architectures while staying current with data engineering trends.