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EncoraAI Powered QA Lead
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Before you apply
LocationManila, Makati, Philippines
Work modehybrid
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentAPAC Billable
Company size5,001–10,000 people
PostedAug 14, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years in Quality Assurance
hands-on experience with AI-powered testing tools and methodologies
Demonstrated track record of implementing 'New Ways of Working' in fast-paced, agile environments
Experience leading digital transformation initiatives in quality engineering
Proven experience with AI/ML tools for software testing, including platforms like Testim, Mabl, Applitools, or similar AI-powered testing solutions
Deep knowledge of contemporary testing frameworks (Selenium, Cypress, Playwright, Appium) enhanced with AI capabilities
Strong background in CI/CD pipelines, containerization, and cloud-native testing environments
Proficiency in at least one modern programming language (Python, Java, JavaScript/TypeScript) for test automation and AI integration
Skills
Testim
Mabl
Applitools
Selenium
Cypress
Playwright
Appium
Python
Java
JavaScript
TypeScript
Position Title: AI Powered QA Lead
Work Location: BGC, Taguig City. (2 x onsite per week hybrid set up)
About the role
We are seeking a visionary Quality Assurance Lead to spearhead the transformation of our quality engineering practices through cutting-edge AI integration and innovative working methodologies. This role demands a strategic leader who can seamlessly blend traditional quality expertise with AI-powered tools while championing “Vibe Engineering” – a philosophy that balances rapid delivery with uncompromising quality standards.
Responsibilities
AI-Driven Quality Excellence
•
AI Tool Architecture: Design and implement comprehensive AI-powered QA strategies, leveraging machine learning models for predictive quality analytics, automated test generation, and intelligent defect prediction
•
Automated Testing Evolution: Build next-generation test automation frameworks powered by AI, including self-healing test scripts, intelligent test prioritization, and adaptive test coverage analysis
•
Quality Intelligence: Develop AI-driven quality dashboards and insights that enable data-driven decision-making, risk forecasting, and continuous improvement initiatives
New Ways of Working Leadership
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Agile Transformation: Lead the adoption of modern agile methodologies tailored for AI-enhanced development cycles, including DevOps integration and continuous testing practices
•
Rapid Delivery Frameworks: Implement streamlined processes that accelerate time-to-market while maintaining rigorous quality gates through intelligent automation
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Cross-Functional Collaboration: Foster a culture of innovation by working closely with development, product, and operations teams to embed quality throughout the entire SDLC
Vibe Engineering Champion
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Quality Culture Builder: Cultivate an organizational mindset where speed and quality coexist harmoniously, emphasizing the “quality at speed” philosophy
•
Innovation Steward: Lead experimental initiatives that explore emerging technologies and methodologies to enhance both delivery velocity and quality outcomes
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Talent Development: Mentor and coach QA team members in AI tools, modern testing practices, and adaptive working approaches
Requirements
Required Qualifications
Technical Expertise
•
AI/ML Proficiency: Proven experience with AI/ML tools for software testing, including platforms like Testim, Mabl, Applitools, or similar AI-powered testing solutions
•
Modern QA Stack: Deep knowledge of contemporary testing frameworks (Selenium, Cypress, Playwright, Appium) enhanced with AI capabilities
•
DevOps & CI/CD: Strong background in CI/CD pipelines, containerization, and cloud-native testing environments
•
Programming Skills: Proficiency in at least one modern programming language (Python, Java, JavaScript/TypeScript) for test automation and AI integration
Experience Requirements
•
5+ years in Quality Assurance
•
hands-on experience with AI-powered testing tools and methodologies
•
Demonstrated track record of implementing “New Ways of Working” in fast-paced, agile environments
•
Experience leading digital transformation initiatives in quality engineering