Senior Engineering Manager-Quality

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

About the role we are hiring a Senior Manager, Engineering - Quality to lead and scale quality engineering for athena Collector within Core Products. You will own quality strategy, governance, and delivery for critical Collector workflows, evangelize a quality-first culture across engineering and product and manage local and remote quality teams. This role will define the roadmap for test automation (including AI-assisted automation), gating and release controls, and partner with engineering and product to raise testability, reliability, and operational readiness of the product.

Team summary:

athenaCollector is a cloud-native, AI-enabled Revenue Cycle Management (RCM) platform that streamlines the end-to-end claims lifecycle and downstream revenue operations for provider customers. Built on a modern, highly scalable stack, the platform combines a rules-driven claims engine to automate triage, reduce denials, and improve first-pass acceptance. athenaCollector provides sophisticated AR follow-up workflows, remittance processing, and payment posting-automatically reconciling remittances, routing exceptions, and surfacing prioritized worklists so teams can focus on high-value recovery. With real-time, explainable analytics and rigorous healthcare security and compliance controls, athenaCollector helps providers accelerate reimbursements, maximize revenue, and concentrate on patient care.

Essential Job Responsibilities:

. Define and own the quality engineering strategy, roadmap, governance and gating criteria for athenaCollector.

. Be an internal evangelist for quality - influence engineering culture and enable teams through tooling, training and playbooks.

. Establish test architecture and standards: test pyramid, CI/CD integration and test data practices.

. Design and deliver automated test suites for end-to-end, API, integration, and UI layers, and set standards for maintainability and observability.

. Drive adoption of quality best practices across teams: testability, shift-left testing, risk-based testing, code-review for tests, and release gating.

. Lead initiatives to modernize automation using AI/ML (e.g., AI-assisted test generation, flaky test detection, smart test selection) to increase coverage and reduce cycle time.

. Define QA governance: release criteria, risk assessments, defect SLAs, and quality metrics/KPIs.

. Partner with Product, Engineering, Security and Operation teams to triage production issues, analyse root causes, and implement systemic fixes.

. Manage local/distributed team of QA engineers and manual testers - set goals, measure outcomes, and ensure alignment to product objectives.

Additional Job Responsibilities:

. Practical experience applying AI/ML to testing (test generation, smart selection, anomaly detection, flaky test triage).

. Experience in revenue cycle management, healthcare domain knowledge or regulated environments.

. Familiarity with observability tooling (e.g., Datadog, Splunk) and chaos or resilience testing approaches.

. Knowledge of test data management and security/compliance considerations in healthcare.

Expected Education & Experience (Required):

. 12+ years in software quality/QA roles with hands-on experience across automation, system testing, and performance testing.

. 3+ years managing and scaling local and remote QA teams track record of hiring, mentoring and developing technical leaders.

. Proven ability to define and execute quality strategy, governance and test architecture for complex, customer-impacting systems.

. Hands-on experience writing and maintaining automated tests across API and modern web UI stacks.

. Experience with test automation tooling and frameworks (Selenium, Selenium Grid, Cucumber or equivalent) and modern JS test frameworks.

. Familiarity with backend/service testing and relevant languages/frameworks (Java, JavaScript/React ecosystem knowledge of Perl is a plus).

. Cloud experience (AWS) and comfort with CI/CD pipelines, containerized test environments, and test infrastructure.

. Strong understanding of Unix/Linux, SQL databases, logging/monitoring and production debugging practices.

. Experience with performance and scalability testing and capacity to incorporate performance gating into release criteria.

. Excellent communicator who can persuade and build trust across functional partners while ensuring accountability for results.