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Mid-level generalist QA role in a Bangalore Series A startup increases applicant competition moderately.
Core QA skills transfer across industries, but AI/non-deterministic product context adds moderate domain specificity.
Explicit 2–4 year requirement plus mandatory QA skills and tools creates moderate shortlisting filters.
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Own the quality and reliability of AI-powered research automation products by designing, executing, and maintaining manual test plans for complex, non-deterministic workflows.
Identify and test edge cases, conduct functional and regression testing, and perform end-to-end checks on critical components during QA production release cycles.
Lead defect documentation, verify automation test failures, and contribute decisively to release sign-offs ensuring customer trust in product reliability.
2–4 years of QA or software testing experience, preferably on web-based products.
Experience with test case design, regression testing, and release validation processes.
Proficiency with bug tracking and test management tools like JIRA or TestRail.
Strong written communication skills for clear bug reporting and test documentation.
Experienced in QA for SaaS or AI products, particularly those with complex, non-deterministic outputs or workflows related to market research or survey programming.
Detail-oriented and analytical with a focus on identifying subtle edge cases and preventing functional defects in production.
Collaborative with product and engineering teams, able to influence release quality standards and improve upstream quality through recurring defect feedback.