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Delinea • Ciudad de México, Mexico
Role & seniority: Director of Quality Assurance; senior leadership role responsible for transforming QA with AI-driven practices.
Stack/tools: AI/ML testing tools; automation frameworks; CI/CD; DevOps/Agile; Selenium; Playwright; Azure DevOps; GitHub; AI coding assistants.
Lead the AI quality roadmap; implement AI-driven test generation, self-healing tests, and intelligent defect triage; define AI KPIs.
Evolve QA organization from manual testers to quality architects; upskill teams via prompt engineering and AI orchestration.
Deliver measurable quality improvements; establish executive dashboards; ensure AI-driven testing meets enterprise security standards; embed quality throughout SDLC.
10+ years in QA; 5+ years leading teams of 20+ engineers.
Proven track record transforming quality delivery (manual → automated/AI-augmented).
Hands-on with AI/ML testing tools; strong automation, CI/CD, DevOps/Agile knowledge.
Experience testing complex, security-sensitive products across cloud/on-prem/hybrid.
Ability to define and drive KPIs; strong leadership for organizational change.
Background in cybersecurity, identity security, or PAM.
Experience deploying AI test generation, self-healing tests, or intelligent defect triage.
Experience testing AD/LDAP/SSH/RDP and cloud APIs; familiarity with Selenium, Playwright, Azure DevOps, GitHub; distributed teams; SOC 2, FIPS, FedRAMP,
This role reports to the Senior Director of Engineering and works closely with product management, development leadership, and security teams to embed quality throughout the software development lifecycle. This is a hybrid role that is based in Mexico City, Mexico and reports to the Director of Governance, Risk, and Compliance.
Strategic Leadership: Lead the AI quality roadmap, progressively integrating AI across all QA functions. Evaluate and implement AI tools for test generation, self-healing suites, and intelligent defect triage. Define AI-specific KPIs to track the shift from manual to AI-driven quality practices.
Evolve the organization through leadership: Lead the transition of QA engineers from manual testers to quality architects who orchestrate AI-driven systems. Upskill the QA org through targeted training in prompt engineering, AI orchestration, and meta-QA practices. Drive innovation by fostering an experimental culture focused on piloting AI capabilities, measuring results, and rapid iteration.
Quality Strategy & Execution: Own and deliver measurable improvements in customer-reported defects and critical severity rates. Implement AI prioritization to focus testing on high-impact code changes and defect-prone areas. Transition from current manual burdens to near-zero through AI-generated automation and intelligent execution. Executive visibility with built-in real-time dashboards providing quality health insights for executive and operational teams.
Cross-functional impact: Embed quality practices early in the SDLC, shifting the focus from "test-and-find" to "prevent-and-detect." Align AI-generated acceptance criteria and test coverage with customer use cases and security needs. Partner with security teams to ensure AI-driven testing meets the high-security standards of PAM products. Required Qualifications 10+ years in QA with 5+ years leading teams of 20+ engineers. Proven track record of fundamentally changing quality delivery (e.g., manual to automated/AI-augmented) rather than just maintaining teams. Hands-on experience with AI/ML testing tools; ability to critically evaluate and implement emerging AI technology. Strong knowledge of automation frameworks, CI/CD pipelines, and DevOps/Agile methodologies. Experience testing complex, security-sensitive products across cloud, on-prem, and hybrid environments. Ability to define and drive KPIs that create accountability and measurable outcomes. Strong leadership skills to navigate teams through significant organizational shifts and build cross-functional buy-in. BS in Computer Science or related field (Master’s preferred). Preferred Qualifications Experience in cybersecurity, identity security, or PAM. Track record of deploying AI test generation, self-healing tests, or intelligent defect triage in production. Experience testing AD, LDAP, SSH, RDP, and cloud provider APIs. Familiarity with Selenium, Playwright, Azure DevOps, GitHub, and AI coding assistants. Experience managing geographically distributed teams. Knowledge of SOC 2, FIPS, FedRAMP, or GDPR. Why work at Delinea? We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities. We invest in people who are smart, self-motivated, and collaborative. What we offer in return is meaningful work, a culture of innovation and great career progression.