Manager, Software Engineering QA

Quality & Technical Leadership Lead end‑to‑end quality strategy across Desktop Applications, Mobile (iOS/Android), APIs, and Hardware‑connected software. Own release readiness, quality risk assessment, and go/no‑go decisions. Define clear expectations for feature, API, and system qualification standards. Remain hands‑on when needed by reviewing test strategies, test plans, automation results, and complex defect investigations. Execute and analyze automation test suites. Debug and triage complex issues across frontend, backend, APIs, and system integrations. AI‑Enabled QA Leadership Use AI tools in day‑to‑day QA activities to improve efficiency and coverage, including:  Change log and release notes validation Fix analysis to verify defect resolutions and prevent regressions Identifying impacted areas across frontend, backend, APIs, and hardware‑integrated workflows Test case generation and optimization Risk analysis and test prioritization Log analysis and defect investigation Guide teams on effective use of AI while maintaining strong engineering and testing judgment. Help adopt AI‑assisted practices to improve QA quality, consistency, and team maturity. People & Team Leadership Manage and mentor QA engineers and QA leads, providing technical guidance, performance feedback, and career growth support. Coach engineers on test strategy, risk‑based testing, automation thinking, and quality ownership. Balance delivery execution with long‑term team development and scalability. Build strong team capability through coaching, standards, and best practices. Help scale QA by improving execution consistency, predictability, and maturity. Cross‑Functional & Stakeholder Leadership Partner closely with Product Management and Engineering to ensure requirements are testable, measurable, and aligned to customer impact. Represent QA in cross‑functional forums, release discussions, and leadership reviews. Communicate quality status, risks, dependencies, and trade‑offs clearly to stakeholders and executive leadership. Present data‑driven quality metrics and insights to support decision‑making. Process & Continuous Improvement Continuously improve QA processes, workflows, and best practices across teams. Contribute to defining and evolving quality metrics, dashboards, and operational reporting. Drive improvements in test efficiency, automation effectiveness, reliability, and release predictability.