Director of QA

We are a fast-growing, mission-driven healthcare technology company building modern software for organizations that serve large and diverse populations across the U.S. Our platform helps healthcare and community-focused organizations improve engagement, streamline workflows, surface important insights, and coordinate services more effectively. By combining automation, data, and user-centered product design, we help our customers operate more efficiently and deliver better outcomes. We are in a high-growth stage and are expanding our product, engineering, and technical leadership capabilities as we scale our platform, customer base, and enterprise partnerships. ABOUT THE ROLE We’re looking for a highly technical and operationally strong Director of QA to lead our quality strategy, QA processes, automation framework, and release-readiness function. This is a senior quality leadership role for someone who can operate at the intersection of quality engineering, test automation, healthcare technology, platform reliability, AI-enabled product validation, compliance, and engineering execution. The ideal candidate has deep experience building and scaling QA practices for complex B2B SaaS platforms and can partner closely with Engineering, Product, Data, AI, Security, Customer Success, and Executive Leadership to ensure we deliver reliable, secure, high-quality products at speed. This role is U.S.-based, with preference for candidates working on EST or CST. The Director of QA will help evolve our QA function into a mature, automation-first, data-driven quality organization that supports rapid product development, enterprise customer expectations, and regulated healthcare environments. WHAT YOU’LL DO Define and own our overall QA strategy across web applications, backend services, APIs, integrations, data workflows, AI-enabled features, and multi-product platform capabilities. Build, lead, and scale a QA function that supports multiple engineering teams and product workstreams. Establish quality standards, test strategies, release gates, defect management processes, and QA metrics across the engineering organization. Partner with Engineering and Product leadership to ensure quality is built into the software development lifecycle from planning through release and production monitoring. Create a strong quality culture focused on accountability, automation, prevention, and continuous improvement. Test Automation & Quality Engineering Design and mature an automation-first QA framework across UI, API, integration, regression, performance, and end-to-end testing. Increase automated test coverage, reduce manual regression burden, and improve release confidence. Implement best practices for CI/CD-integrated automated testing, test data management, environment management, and quality reporting. Evaluate and implement QA tools, frameworks, and processes that improve engineering speed, predictability, and product reliability. Partner with engineers to ensure testability, maintainability, and quality are considered early in the development process. Release Readiness & Execution Own QA readiness for major releases, roadmap commitments, customer launches, integrations, and platform changes. Partner with engineering teams to identify risks early, prevent escaped defects, and improve delivery predictability. Drive improvements in defect triage, root cause analysis, regression planning, and production issue prevention. Ensure release decisions are grounded in clear quality data, risk assessment, and customer impact. Help teams move faster without compromising quality, security, compliance, or customer trust. AI & Data Quality Develop QA strategies for AI-enabled product experiences, including workflow automation, intelligent recommendations, conversational or messaging workflows, decision support, and data-driven product capabilities. Partner with AI, Data, Product, and Engineering teams to validate model behavior, output quality, guardrails, edge cases, monitoring, feedback loops, and production reliability. Ensure AI-powered features are tested for accuracy, consistency, safety, usability, explainability, and customer impact. Support quality processes for data pipelines, integrations, analytics workflows, and customer-facing reporting. Platform Reliability & Operational Excellence Partner with Engineering and DevOps to improve observability, monitoring, incident response, SLOs/SLAs, and production health. Ensure QA contributes to broader operational maturity, including performance testing, load testing, reliability testing, and failure-mode analysis. Create clear quality dashboards and metrics around defect trends, automation coverage, release quality, test stability, escaped defects, and customer-impacting issues. Use data to identify systemic quality risks and drive continuous improvement across engineering teams. Cross-Functional Partnership Serve as the senior QA partner to Engineering, Product, Customer Success, Security, Data, AI, Operations, and Executive Leadership. Work closely with Product to clarify acceptance criteria, edge cases, customer workflows, and release expectations. Partner with Customer Success and Support to understand customer pain points, recurring defects, and production quality issues. Communicate quality risks, tradeoffs, and release readiness clearly to technical and non-technical stakeholders. Compliance & Security Ensure QA processes support healthcare privacy, security, and compliance requirements. Partner with Security and Engineering to validate secure-by-design practices, privacy controls, access controls, auditability, and regulated data workflows. Support documentation, testing evidence, and process maturity required for compliance audits and enterprise customer expectations. WHAT WE’RE LOOKING FOR Requirements Significant QA leadership experience in B2B SaaS, healthcare technology, fintech, enterprise software, or another complex regulated technology environment. Proven experience building or scaling a QA function across multiple engineering teams or product workstreams. Deep hands-on understanding of QA automation, test frameworks, CI/CD-integrated testing, API testing, regression testing, integration testing, performance testing, and end-to-end testing. Strong technical credibility with engineering teams, including the ability to understand architecture, APIs, cloud systems, data flows, integrations, and complex platform dependencies. Experience improving QA processes within the software development lifecycle, including test planning, acceptance criteria, defect management, release readiness, root cause analysis, and quality metrics. Experience testing complex platform products, multi-product systems, workflow automation, data-intensive applications, or enterprise integrations. Experience working with distributed engineering and QA teams, with India-based team experience strongly preferred. Strong cross-functional collaboration skills with Engineering, Product, Security, Customer Success, Data, AI, and Operations teams. Ability to balance speed and quality in a fast-moving startup or growth-stage environment. Excellent communication skills, with the ability to clearly explain quality risks, release readiness, tradeoffs, and process improvements to executives and technical teams. Strong people leadership skills, including hiring, coaching, performance management, team development, and building a high-accountability QA culture. Preferred Qualifications Healthcare technology experience, especially within payer, provider, public sector, care coordination, member engagement, or value-based care environments. Experience testing healthcare integrations, interoperability standards, claims data, eligibility data, referral workflows, or other complex healthcare data workflows. Experience working in HIPAA-regulated environments. Experience supporting SOC 2, HITRUST, NIST, or similar compliance frameworks. Experience testing AI/ML-powered or LLM-enabled products, including workflow automation, conversational systems, model outputs, guardrails, monitoring, and production AI reliability. Experience with tools and technologies such as Cypress, Playwright, Selenium, Postman, REST APIs, GCP, AWS, MongoDB, PostgreSQL, Node.js, CI/CD pipelines, and test management platforms. Experience introducing QA automation into organizations that previously relied heavily on manual testing. Prior experience helping scale engineering quality through a major growth phase. IDEAL CANDIDATE PROFILE The ideal candidate is not just a QA manager. They are a technical quality leader who can build the systems, processes, automation, and culture that help Engineering move faster while reducing risk. They should be comfortable going deep into test architecture, automation strategy, platform dependencies, AI-enabled workflows, healthcare compliance, release quality, and production reliability. This person should bring strong execution discipline, high technical judgment, and the ability to turn QA into a strategic advantage for the company. #J-18808-Ljbffr Confidential Jobs