QA Manager

In this role, your responsibilities would include

• Lead, mentor, and develop a team of 3 QA engineers, setting clear ownership areas, performance expectations, and career growth paths.
• Define and own the QA strategy end-to-end — from test planning and case design through to reporting and continuous improvement — and adapt it continuously to the changing needs of AI-enabled product engineering.
• Design and maintain an automated test framework covering Hiive's core transaction, onboarding, and platform workflows.
• Integrate QA into CI/CD pipelines so that quality gates are automated and regression coverage runs on every build.
• Partner closely with product and engineering to review requirements, identify testability issues early, and advocate for quality throughout the development lifecycle.
• Track and report on defect trends, test coverage metrics, team performance, and release readiness to engineering leadership.
• Triage and investigate production issues, coordinating root cause analysis and ensuring fixes are covered by regression tests.
• Evaluate and introduce new tooling, AI-assisted testing approaches, or processes as Hiive's platform and team scale.

Required skills

• 5+ years of software QA experience, with at least 2 years managing QA engineers.
• Demonstrated experience defining and driving QA strategy.
• Experience evolving QA practices for AI-assisted engineering workflows.
• Strong hands-on experience with test automation frameworks — Playwright, Cypress, Selenium, or equivalent.
• Experience integrating automated tests into CI/CD pipelines (GitHub Actions, CircleCI, or similar).
• Solid understanding of testing methodologies: functional, regression, integration, and end-to-end.
• Ability to write clear test plans, test cases, and quality reports for both technical and non-technical audiences.
• Comfortable working in a fast-paced, high-ownership environment where you define the process, not just follow it.

Preferred skills

• Experience evolving QA practices in environments where engineers use AI coding assistants (Copilot, Cursor, Claude Code, or similar) in their daily work.
• Experience in fintech, marketplace platforms, or other regulated software environments.
• Familiarity with performance testing or security testing practices.
• Experience with API testing tools such as Postman or REST-Assured.
• Background working on small engineering teams where QA and engineering collaborate closely.