• Test new features and bug fixes across Employee, Client, and Admin portals before release • Perform full regression testing before deployments • Create detailed bug reports in Asana, including reproduction steps, severity, environment details, and supporting evidence • Validate bug fixes before closing tickets • Proactively test edge cases across devices, user roles, and environments • Conduct daily check-ins with the development team to track progress and resolve blockers • Maintain a log of known issues and provide weekly status updates to the CEO • Review user stories and acceptance criteria to ensure proper testing coverage • Own the end-to-end QA process and ensure platform quality before release

• Developing and implementing global security strategies • Overseeing security architecture and enablement • Delivering regional security services • Supporting secure digital transformation initiatives • Collaborating with member firms to ensure consistent security standards • Conducting testing of AI models to find vulnerabilities • Developing new evaluation frameworks • Communicating risks to stakeholders across global teams • Collaborating with defensive and development teams.

• Develop, document, and execute test plans, test cases, and test scripts for web and mobile applications. • Perform manual testing to ensure software meets functional, performance, and security requirements. • Identify, record, and track software defects using bug tracking tools. • Collaborate with developers, product managers, and other stakeholders to clarify requirements and ensure quality standards are met. • Validate bug fixes and software enhancements to ensure proper implementation. • Continuously improve testing processes and contribute to QA best practices. • Monitor and report test results, metrics, and quality trends to management.

• We are looking for a QA Engineer to join a small, high-impact team working on AI-driven and agent-based product features. • This role combines classical QA practices with testing of cutting-edge AI systems, including LLM logic and agent workflows. • You will be responsible for ensuring quality, consistency, and reliability of both traditional product functionality and AI-driven outputs.