Hybrid C2C Role: AI Quality Engineering Lead at Secaucus, NJ

Role Overview
We are looking for a QA / Quality Engineering Lead who can own end-to-end quality delivery while driving QE transformation and continuous improvement. The role requires a tool-agnostic automation mindset, strong leadership skills, and experience balancing BAU delivery with modernization initiatives, including AI-led quality practices.

Key Responsibilities

• Lead QA/QE teams and own quality outcomes across releases and programs
• Drive day-to-day BAU delivery (planning, execution, defect management, release readiness)
• Conduct QE assessments and define continuous improvement / transformation roadmaps
• Drive test automation strategy and optimization across UI, API, and E2E testing
• Lead adoption of AI-assisted QE practices to improve speed and effectiveness
• Partner with Product, Engineering, and DevOps teams to embed quality early
• Provide clear quality status, risks, and metrics to stakeholders

Required Skills & Experience

Must Have

• 14+ years of experience in QA / Quality Engineering
• Experience leading QA teams and managing delivery in Agile / DevOps environments
• Strong hands-on experience across test automation tools, including:
• Selenium, Playwright, Cypress, or similar frameworks
• Exposure to Tricentis Tosca (one of the tools, not mandatory focus)
• Experience with API and integration testing
• Proven experience performing QA/QE assessments and defining improvement roadmaps
• Ability to manage BAU delivery alongside transformation initiatives

Good to Have

• Experience with AI-led or intelligent QE practices
• Experience driving QE transformation or modernization programs
• Exposure to cloud-based testing and CI/CD pipelines
• Experience working with distributed (onshore/offshore) teams

Soft Skills

• Strong communication and stakeholder management skills
• Leadership mindset with hands-on capability
• Outcome-driven and continuous-improvement oriented
• Ability to influence without authority