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Mid-level manual QA in metro with generalist requirements increases applicant competition.
Manual QA skills are transferable, though required AI/ML testing experience raises domain-specific preference.
Explicit 4–7 years plus mandatory AI/ML testing and API experience enforces strict candidate filtering.
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Own end-to-end product quality for web and core workflows, including test planning, execution, and release decisions.
Conduct comprehensive manual testing of user journeys, verifying cross-browser/device consistency and AI-powered feature output quality.
Establish and execute regression testing, bug triage with precise repro steps, and implement quality practices including bug-tracking.
4–7 years of hands-on manual QA experience on SaaS or consumer products.
Experience testing AI/ML features with ability to identify model-behaviour bugs.
Working knowledge of API testing tools like Postman.
Comfortable working in Agile teams with frequent release cycles.
Detail-oriented tester with a focus on finding edge-case and model-specific bugs beyond UI issues.
Experienced in fast-moving, often ambiguous environments with incomplete specs, able to ask clarifying questions.
Familiarity with BDD frameworks or automation scripting understanding is a plus, enhancing manual testing precision.