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Delinea • Redwood City, California, United States
Role & seniority: Director of Quality Assurance (split from traditional QA leadership; leading transformation to AI-native QA)
Stack/tools: AI/ML testing tools; automation frameworks; CI/CD; DevOps/Agile; Selenium; Playwright; Azure DevOps; GitHub; AI coding assistants; security-focused testing (PAM, cloud/hybrid)
Define and drive the AI quality roadmap; evaluate and implement AI tools for test generation, self-healing tests, and intelligent defect triage; set AI-specific KPIs
Lead organizational transition from manual testing to quality architects orchestrating AI-driven systems; upskill through prompt engineering and meta-QA practices; foster rapid, experimental iteration
Deliver measurable quality improvements (defect rates, severity), implement AI-prioritized testing, provide real-time quality dashboards for execs and operations; embed quality early in SDLC
10+ years QA experience; 5+ years leading 20+ engineers
Proven track record shifting from manual to automated/AI-augmented quality
Hands-on with AI/ML testing tools; strong automation, CI/CD, DevOps/Agile
Experience testing complex security-sensitive products across cloud/on-prem/hybrid
KPI definition, cross-functional leadership, stakeholder buy-in
Cybersecurity/identity security/PAM domain experience
Track record deploying AI test generation, self-healing tests, or intelligent defect triage
Experience tes
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.
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.