Sr QA Engineer (Founding QA Opportunity), AI SaaS Platform

• →Build the first formal quality program for a growing AI SaaS business, spanning manual testing, automation, release readiness, and measurable quality standards.
• →Lead end-to-end validation across browser-based workflows, APIs, integrations, data flows, and AI-enabled product experiences.
• →Create practical test plans, release checklists, regression coverage, defect triage practices, and reporting that support confident product launches.
• →Strengthen automated test coverage for critical user journeys, service layers, and integration points using modern QA tools and frameworks.
• →Test complex SaaS workflows with a sharp eye for UI detail, design consistency, workflow accuracy, edge cases, and overall user experience.
• →Partner closely with engineering, product, and leadership to make quality a repeatable operating discipline rather than a last-minute checkpoint.
• →Evaluate AI-supported features for consistency, explainability, fallback behavior, and overall trust in user-facing outputs.
• →Review APIs, integrations, cloud application behavior, and network activity to identify issues before they reach customers.
• →Produce clear bug reports, validate fixes thoroughly, and help teams reduce repeat defects over time.
• →Contribute to a strong quality culture by improving testing standards, release habits, and shared accountability across the organization.

• Experience in QA, quality engineering, software testing, or a related product quality function.
• Proven background supporting SaaS products, web applications, and release testing in fast-paced environments.
• Strong attention to detail and the ability to spot UI inconsistencies, broken workflows, design drift, and usability issues.
• Hands-on experience with API testing, integrations, cloud-based applications, and network request analysis.
• Ability to balance manual testing depth with modern automation thinking.
• Comfort working cross-functionally with engineering, product, and business stakeholders.
• Customer-first mindset with the ability to think like end users and understand how product quality affects adoption and trust.
• Experience with modern QA tools such as Playwright, Cypress, Selenium, Postman, Pytest, or similar solutions is highly valued.
• Experience working with enterprise software, process automation tools, or intelligent technology solutions is highly valued.
• Interest in joining a high-ownership environment where quality is a visible and strategic function.

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