Director, eCommerce QA

Overview

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Ready to redefine how quality engineering shapes digital sales at Spectrum? As Director, eCommerce Quality Assurance, you will lead the evolution from traditional QA to an embedded quality engineering model, partnering with developers and product teams to make quality a shared responsibility. Your leadership will ensure every digital product delivers excellence, creating measurable impact across the organization.

• Lead the shift to an embedded quality engineering model, aligning QEs directly with developers in product pods
• Build and maintain test infrastructure and frameworks supporting 15+ product teams, including CI pipeline integration
• Define scalable test strategies across units, integration, E2E and contract testing for consistent quality
• Elevate quality engineers to architects who guide exploration, performance and reliability testing while coaching developers
• Reduce escaped defects and redundant testing, accelerating feedback loops from days to minutes
• Champion shift-left practices with tests running in CI on every PR and immediate feedback during development
• Collaborate with engineering leadership to foster shared quality ownership and develop respected QE talent
• Implement AI-assisted testing strategies for optimized test suites and intelligent defect prediction

• Work in an office environment with occasional travel, plus the option to work from home one day each week through Spectrum’s Hybrid Work Policy

• Bachelor’s degree in computer science, Software Engineering or related technical discipline, or equivalent experience

• 8+ years in software quality engineering, test automation or software development
• 4+ years leading QA or QE teams in embedded quality engineering models
• 3+ years managing QE leads or senior quality engineers

• Proven experience transforming QA organizations into embedded shift-left practices
• Ability to operate at enterprise scale across multiple product teams and complex release pipelines
• Strong communication and influence skills to drive organizational change
• Expertise leading through influence within a matrix model
• Strategic vision with hands-on execution capability
• Deep knowledge in test automation frameworks such as Cypress, Playwright, Selenium, Jest, Karma and Jasmine
• Experience designing test strategies across unit, integration, E2E, contract and performance layers
• Skilled at building shared test infrastructure and integrating CI/CD pipelines
• Familiarity with Angular testing, Node.js backend testing and performance benchmarking
• Experience with observability and monitoring tools for quality metrics and defect analysis
• Proficiency in accessibility testing tools integrated into CI pipelines
• Knowledge of test environment management and feature flag testing strategies
• Strong interest in AI-assisted testing approaches
• Data-driven decision making, coaching and mentoring, cross-functional partnership and quality engineering leadership

• MBA or advanced degree

• Experience in telecom, cable, broadband, wireless or mobile industries
• Leading QE organizations of 20+ engineers across multiple teams

• Experience migrating test suites, coaching developers, improving feedback speed
• Familiarity with Adobe Analytics, Tealium validation, accessibility standards and Agile delivery
• Master’s degree in Computer Science or Engineering
• Experience leading quality engineering transformation in telecom or large-scale eCommerce platforms
• Proven record implementing automated testing strategies in cloud-native environments such as AWS or Azure
• Familiarity with test data management at enterprise scale, including synthetic data generation and GDPR compliance
• Experience managing distributed or remote quality engineering teams
• Experience in vendor management for outsourced QA partnerships
• Demonstrated ability to drive adoption of emerging technologies such as generative AI, machine learning for defect prediction or advanced…