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Career Experts · posted 7 months ago
Test strategy and governance, QA leadership, Enterprise testing, SaaS platform testing, API and integration testing, Automation frameworks, CI/CD testing, AI or ML testing exposure, Security and compliance testing, UAT management, Stakeholder communication
This role is critical to ensuring that the AI solution is safe, reliable, compliant, and production-ready. The Test Manager will work closely with HR Operations, Product Management, Engineering, Information Security, and Compliance teams.
Own the overall test strategy, test plans, and quality governance for the AI agent
Define and drive functional, integration, regression, performance, and security testing
Establish go/no-go criteria and provide clear risk-based recommendations
Validate AI quality, including response accuracy, safety, groundedness, and behavior consistency
Oversee testing of enterprise integrations, APIs, workflows, and data flows
Implement test automation and observability for regression and release readiness
Lead and manage UAT with business stakeholders
Provide transparent reporting on quality, risks, and release readiness
8+ years of experience in QA or testing roles with leadership responsibility
Proven experience leading enterprise-scale testing initiatives
Strong background in SaaS platform testing and complex system integrations
Hands-on experience with API testing, automation frameworks, and CI/CD pipelines
Exposure to AI or ML systems testing, including validation of model outputs
Experience managing UAT, stakeholder communication, and test governance
Solid understanding of security, compliance, and data quality considerations
Experience testing HR or enterprise workflow platforms
Familiarity with AI guardrails, prompt validation, or retrieval-based systems
Background working with regulated or compliance-heavy environments
Prior experience working closely with InfoSec and compliance teams
Our client is a technology-focused organization that builds practical, enterprise-ready solutions for large businesses. They work closely with internal operations teams to simplify complex processes using automation and AI, while keeping reliability, security, and compliance at the center of everything they do.