Sr. Manager Quality Engineering - myQ

Job Responsibilities

• Own the vision and roadmap for automation and quality engineering practice across Mobile, Web, and API surfaces, with an AI-first approach to test generation, execution, and maintenance.
• Lead the design and delivery of internal tools, agents, and self-service applications that enable 30+ squads to independently write test cases, author BDD scenarios, build automation, and run their own regression testing.
• Champion a relentless focus on customer experience — partnering with Product, Platform, and Engineering leaders to ensure quality signals reflect real-world usage, not just pass/fail test counts.
• Modernize and refresh existing automation frameworks, retiring brittle or manual approaches in favor of scalable, AI-augmented testing patterns (e.g., self-healing tests, generative test-case creation, intelligent test selection).
• Define and drive adoption of quality engineering standards, patterns, and guardrails that squads can adopt without requiring central bottlenecks.
• Establish meaningful quality metrics (escaped defects, coverage, flake rate, MTTR for test failures, regression cycle time) and use them to drive continuous improvement across the organization.
• Evaluate and integrate emerging AI/agentic tooling for test authoring, visual validation, synthetic data generation, and autonomous regression.
• Act as a hands-on technical leader — staying close to the code, architecture, and tooling decisions your team makes, not just the roadmap.
• Partner cross-functionally with Platform, SRE, Mobile, and Cloud engineering leaders to embed quality earlier in the SDLC (shift-left) and reduce escaped defects in production.
• Represent Quality Engineering in architecture reviews, planning ceremonies, and executive reporting on release readiness and quality health.
• Foster a coaching culture within squads — enable embedded engineers to build genuine automation and testing capability rather than depending on a central QE team.
• Support Engineering Managers in the evaluation and performance management expectations in a “dotted line” supervisory structure for Quality Engineering roles.

Job Requirements

• Bachelor's Degree in Engineering, Computer Science or related field
• 7+ years in quality engineering, test automation, or SDET roles, including 2+ years leading or managing a technical team
• Proven track record building automation frameworks across Web (e.g., Playwright, Cypress, Selenium), Mobile (Appium, XCUITest, Espresso), and API/contract testing (Postman/Newman, REST Assured, Pact)
• Hands-on experience applying AI/LLM concepts to quality engineering — e.g., agentic test generation, self-healing locators, AI-assisted BDD authoring, visual regression via computer vision, or using LLM copilots (Claude, Copilot, Cursor) inside test pipelines

Skills and Abilities

• Strong grasp of core QE fundamentals: risk-based test strategy, BDD/Gherkin, shift-left testing, test data management, flaky test triage, and CI/CD-integrated regression
• Experience designing self-service tooling or platforms that decentralize quality ownership to feature/product squads at scale (30+ teams a strong plus)
• Familiarity with modern CI/CD and DevOps tooling (GitHub Actions, Jenkins, Azure DevOps) and observability/quality metrics platforms
• Working knowledge of cloud-native and IoT/connected-device testing considerations a plus (device simulators, firmware-in-the-loop, network variability)
• Excellent communication skills — able to translate quality strategy into a compelling narrative for both engineers and executive stakeholders

The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements).