• Execute manual test plans, test cases, and test scripts for frontend and backend systems • Perform functional, smoke, regression, and exploratory testing across mobile and web platforms • Identify, document, and track software defects using tools such as JIRA or TestRail • Run existing automated test scripts and analyze output for defects or inconsistencies • Collaborate with QA Engineers to identify areas for automation coverage expansion • Contribute to test data setup and validation of test environments • Validate bug fixes and assess regression impact before releases • Work closely with developers and product managers to clarify requirements and expected behaviors • Participate in Agile ceremonies including sprint planning, stand-ups, and QA reviews • Maintain up-to-date documentation of test results and report test coverage and defect trends

• Perform manual tests • Identify bugs • Draft documentation

• Run daily/weekly test cycles across multiple products and environments • Build, maintain, and extend automated test frameworks integrated into CI/CD pipelines • Author, update, and optimize test cases across product lines • Partner with product squads to enable feature validation and regression coverage • Participate in release readiness reviews and provide test evidence for release evaluation and qualification • Hunt for failure modes beyond the “happy path” • Contribute to QA dashboards and track product-level KPIs • Help map production issues into regression tests

• Own QA Strategy & Execution: Define and execute the cross-product test strategy (manual + automated) with daily/weekly validation cycles. • Build & Lead Team: Manage, mentor, and grow a QA team spanning engineers and specialists. • Cross-Engineering Alignment: Partner with product and engineering managers to embed testing into every release pipeline. • Test Infrastructure & Tooling: Drive strategy and adoption of frameworks, automation platforms, and CI/CD quality gates. • Governance & Compliance: Own QA oversight for HIPAA, PCI FedRAMP, and all applicable quality standards. • Quality Metrics & Reporting: Define KPIs, publish regular dashboards, and lead quality reviews with engineering and product leadership. • Release Candidate Qualification: Be the final gatekeeper for release signoff, balancing risk and velocity for our frontier AI services. • Customer Feedback Integration: Tie production monitoring and support feedback into QA strategy and iteration cycles. • Exploratory Testing: Foster edge-case discovery and testing creativity to prevent regressions and long term improvement for frontier research based products.