About Responsive

About the Role

Responsive is looking for a dynamic Quality Engineering (QE) Manager to lead the overall quality strategy, delivery excellence, and innovation across multiple product lines. The QE Manager will be responsible for defining quality goals, scaling QE practices, and enabling a high-performing team that ensures consistent, high-quality releases. You will work closely with engineering, product, and DevOps leaders to drive end-to-end quality ownership and continuous improvement across the SDLC.

Essential Responsibilities

Quality Strategy & Leadership

• Define and execute the organization’s QE vision, roadmap, and strategy aligned with business and product goals.

• Lead, mentor, and grow a team of QEs and QE Leads, fostering a culture of ownership, collaboration, and innovation.

• Establish quality KPIs and drive continuous improvements in efficiency, automation, and defect prevention.

Test Governance & Delivery

• Oversee quality assurance across multiple projects or product streams ensuring consistent test coverage, traceability, and reporting.

• Implement risk-based test strategies and ensure compliance with QA standards, processes, and best practices.

• Ensure on-time delivery of quality deliverables, managing test planning, estimation, and resource allocation.

Automation & Technology Enablement

• Drive test automation strategy across functional, API, UI, Security, and performance layers using modern frameworks (Playwright, Cypress, Karate, JMeter, etc.).

• Collaborate with other stakeholders to strengthen CI/CD quality gates, shift-left testing, and continuous validation practices.

• Evaluate new tools and technologies to enhance QE maturity and productivity.

Stakeholder Management & Collaboration

• Partner with Product Managers, Engineering, and Release teams to ensure clear quality expectations and smooth delivery cycles.

• Act as a key escalation point for quality issues, providing insights and solutions proactively.

• Communicate quality status, risks, and metrics to leadership and business stakeholders.

Process Excellence & Innovation

• Drive process optimization, test data management, and defect prevention initiatives across the organization.

• Encourage innovation within the QE team—promoting experimentation with AI/ML-based testing and analytics-driven quality insights.

What we are looking for

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.

Experience

• 12–14 years of experience in software testing and quality engineering, with 6+ years in leadership or management roles.

• Proven experience managing large-scale testing programs in Agile/Scrum environments.

Skill, Qualification & Ability

• Deep understanding of test automation frameworks, CI/CD, security testing, performance testing, and API testing.

• Hands-on expertise with tools such as Playwright, Cypress, Karate, JMeter, Postman, or equivalent.

• Experience leading distributed QE teams and managing multiple project portfolios.

• Strong analytical, decision-making, and stakeholder management skills.

• Experience in SaaS, Cloud, or enterprise-scale applications preferred.

• Excellent communication and leadership abilities with a passion for mentoring and scaling teams.

• Strategic mindset with the ability to balance hands-on involvement and managerial oversight.

• Track record of implementing measurable quality improvements across the product lifecycle.

• Exposure to AI/ML-assisted testing or data-driven quality analytics.

Why Join Us ?

• Impact-Driven Work: Build innovative solutions that redefine strategic response management.

• Collaborative Environment: Work with a passionate team of technologists, designers, and product leaders.

• Career Growth: Be part of a company that values learning and professional development.

• Competitive Benefits: We offer comprehensive compensation and benefits to support our employees.

• Trusted by Industry Leaders: Be part of a product that is trusted by world-leading organizations.

• Cutting-Edge Technology: Work on AI-driven solutions, cloud-native architectures, and large-scale data processing.

• Diverse and Inclusive Workplace: Collaborate with a global team that values different perspectives and ideas.