Wellabe

Data Engineer

• Implement and optimize ETL process to ensure data accuracy, consistency, and scalability.
• Support the buildout, migration, and maintenance of the company’s Enterprise Data Lake house.
• Work with senior engineers to design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.
• Work closely with Information Technology teams to implement continuous integration and deployment (Cl/CD) pipelines using Azure DevOps.
• Assist in administering and optimizing Azure Databricks clusters and ensure efficient data processing.
• Collaborate with analysts and business units to design and implement efficient data models.
• Determine data tracking and storage needs, perform data auditing and validation, perform data mapping, loading and conversion planning, and resolve data issues or discrepancies.

Product Manager

• Wellabe is looking for a Communications Agent, AI Product Owner to join our team.
• This individual will own the end-to-end strategy, roadmap, delivery, and performance of AI-handled customer interactions (voice and digital), with priority focus on the Intelligent Virtual Assistant (IVA).
• Owns the AI Channel for customer, provider, and agent calls with full accountability for end-to-end performance of AI handled voice and digital customer interactions.
• Build a product strategy & roadmap: Define and track KPIs including containment rate, first contact resolution, escalation rates, customer effort, and cost to serve.
• Treat AI as an operational service channel with continuous improvement accountability.
• Build and maintain a multi-year roadmap for AI enabled service automation.
• Prioritize automation opportunities based on call volume, complexity, experience impact, and risk.
• Focus on high impact use cases such as benefits, eligibility, claims status, payments, ID cards, and provider inquiries.
• Translate business needs into clear product requirements, user stories, and acceptance criteria.
• Coordinate releases with IT and platform teams (telephony, CRM, core systems).
• Establish phased rollouts, testing plans, and post release measurement to validate results.
• Partner with Compliance and Legal to ensure AI interactions meet HIPAA, CMS, and state regulatory requirements.
• Define approved language, disclosures, identity verification rules, and escalation triggers.
• Own remediation and improvements when AI behavior does not meet standards.
• Serve as the primary business owner in vendor engagements related to conversational AI and automation.
• Direct vendor work toward outcomes aligned with Customer Success goals.
• Evaluate new capabilities and enhancements based on business value and operational readiness.
• Provide clear, data driven updates on AI performance, risks, and value delivered.
• Communicate progress in terms of customer experience, expense management, and scalability.

Communications Agent, AI Product Owner

Customer Success Manager

• Receive calls, respond to workflows and chat to answers basic to moderately complex questions from policyholders, medical providers, and sales agents on life, preneed, or health (such as Medicare supplement, dental, vision, hearing, Hospital Indemnity & Ancillary Products) policies such as claims, benefits, and premiums while protecting privacy as outlined by state and federal regulations.
• Receive and process basic to moderately complex changes such as premium refunds, deductible changes, co-insurance changes, network changes, refunds premiums, reconciliation, balancing, removing dependents, standard terminations and other related items.
• Document all aspects of customer claims to ensure file has all information required to fulfill policyholder and/or provider requests.
• Occasionally research systems, websites, and work with internal departments to accurately follow-up with and resolve basic to moderately complex policyholder and provider complaints and concerns, escalating issues appropriately to more experienced peers to resolve more complex issues and assisting peers through chat lines as needed.
• Plan, coordinate, and execute basic to moderately complex projects to support the business.
• Train, mentor, support, and develop less experienced customer success representatives by providing advice, coaching and educational opportunities.

Customer Success Specialist

Claims Specialist

• Review, analyze and process claims, adjustments, coordination of benefits and refunds on routine life or health claims
• Accurate entry of codes and data to applicable system
• Respond to general inquiries by agents, policyholders, and providers concerning policy coverage and other related information

SDET

• Design, implement, and maintain scalable automation frameworks for UI, API, integration, and regression testing, with automation as the default testing approach.
• Perform functional, system integration, regression testing across complex applications.
• Develop and execute automated tests using modern tools and frameworks such as Playwright and AI automation solutions.
• Design and execute test strategies for iterative Agile development, validating individual features and integrations as they are delivered to testing environments, while ensuring full end-to-end system testing is completed prior to production release.
• Lead test reviews, including unit and integration tests, and collaborate with developers to improve test coverage and reliability.
• Perform backend data validation by developing and executing SQL queries to ensure data accuracy and integrity.
• Create comprehensive test plans that include test strategies, timelines, capacity planning, estimates, and test environment planning.
• Establish and operationalize quality assurance standards, governance, and best practices across teams.
• Integrate automated testing into CI/CD pipelines and DevOps workflows using tools such as GitHub Actions to enable continuous testing and fast feedback.
• Introduce and scale AI-driven and intelligent testing solutions, including self-healing automation, test prioritization, and analytics-driven testing.
• Define, track, and analyze quality metrics, KPIs, and risk indicators to improve product quality and release confidence.
• Remain hands-on with complex testing scenarios, framework decisions, and automation design while providing technical guidance and mentorship to other QA team members.
• Ensure compliance with SDLC, regulatory, audit, and risk requirements in regulated or audit-heavy environments.

Data Engineer

Communications Agent, AI Product Owner

Customer Success Specialist

Claims Specialist

Senior QA Automation Engineer