QA Specialist
Posted Updated
Description
We are looking for a QA Specialist who treats quality like a craft: fast, precise, and relentless. You will work across manual and automation testing on an AI-native SaaS platform where features ship fast and customer trust is everything. This is not a box-ticking role. You own what reaches the customer, no matter how quickly the roadmap evolves.
The core responsibilities for the job include the following:
Manual Testing:
- Design and execute detailed test cases for AI-powered features, agent workflows, and report outputs.
- Perform functional, regression, exploratory, and UAT across web and API layers.
- Validate AI-generated insights for accuracy, consistency, and hallucination outputs that enterprise clients act on.
- Test database integrity queries and validate data across SQL/NoSQL stores.
Automation:
- Build and maintain automation test suites using Java + Selenium and Playwright.
- Automate regression, smoke, and sanity test pipelines to support fast release cycles.
- Integrate test automation into CI/CD pipelines; flag failures before they reach production.
- Leverage AI testing tools to improve coverage, generate test cases, and detect anomalies faster.
Quality Ownership:
- Shift gears as priorities change: validate a demo at noon and regression test a release by evening.
- Log, track, and triage bugs in JIRA with precision; collaborate tightly with engineers and PMs.
- Identify gaps in test coverage and proactively raise quality risks before they become incidents.
- Contribute to building a quality culture in a team that ships like founders.
Requirements:
- Solid experience in both manual and automation testing on SaaS or AI products.
- Hands-on with Java + Selenium and/or Playwright for test automation.
- Database testing experience: writing and validating SQL queries, understanding data flows.
- Familiarity with AI or LLM-based products, understanding non-deterministic outputs and how to test them.
- Experience with bug tracking tools (JIRA) and test management platforms.
- Strong instinct for what to test first, depth, and speed, not just coverage.
Good to Have:
- Experience using AI tools for testing test case generation, visual testing, or anomaly detection.
- Prior exposure to social analytics, consumer intelligence, or data-heavy SaaS platforms; API testing experience using Postman or REST-assured.
- Comfort working in fast-paced, startup environments with evolving requirements.
