QA Engineer

Hatz AI is building an AI-native platform for Managed Service Providers and the small businesses they serve. They are seeking a QA Engineer who will own the product quality strategy and be responsible for end-to-end testing, utilizing AI to enhance testing processes.

Responsibilities:

• Own product quality strategy: help decide, based on critical customer workflows, where risk-based test coverage matters most
• Be responsible for end-to-end testing, with discretion to choose and evolve your own test frameworks and tooling. Critical workflow coverage is your version of code coverage
• Build AI-assisted rules, skills, and frameworks that let testing judgment scale across the team without requiring manual testing input on every ticket
• Review and get hands-on with the integration tests engineers write. Unit and component-level testing stays owned by engineering; you're encouraged to get involved wherever it strengthens coverage
• File clear, reproducible bug reports, and grow into contributing fixes directly—AI-assisted coding makes this realistic once you're covering the core of the role
• Define and track the quality metrics (critical workflow coverage, defect escape rate, regression trends) that tell us whether the strategy is working
• Build and run evals for our AI features—golden datasets, regression suites, and scoring rubrics that catch hallucinations, accuracy drift, and prompt or model regressions before they reach customers
• Communicate clearly with teammates and customers, translating quality tradeoffs and technical issues into plain language