Accountabilities

• Design and build the end-to-end testing pipeline, including pre-merge checks, nightly test runs, release validation, and production quality gates.
• Define the quality strategy for AI-generated code, identifying high-risk areas, establishing appropriate test coverage, and ensuring the approach remains sustainable as the product scales.
• Build and maintain continuous automated UI testing across browsers and mobile devices, including AI-agent-driven testing approaches.
• Evaluate, select, and integrate external testing tools and services where they can improve reliability, coverage, or efficiency.
• Own product reliability from a technical QA perspective, with particular attention to critical financial workflows.
• Collaborate closely with engineering and DevOps teams to embed quality throughout the development lifecycle and balance delivery speed with appropriate safeguards.
• Use AI coding agents such as Claude Code, Codex, Cursor, or similar tools on a daily basis to create, maintain, and evolve testing solutions.
• Proactively identify quality risks, introduce improvements, and share testing practices and knowledge across the team.
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