Lead Quality Engineer Salesforce

Summary:

We are seeking an experienced Manual QA Lead with an AI mindset to drive quality excellence across complex enterprise and eCommerce applications. This role requires a strong foundation in manual testing leadership capabilities and the ability to leverage AI/GenAI tools to enhance testing efficiency coverage and insights.
The ideal candidate will lead QA initiatives mentor teams and champion intelligent data-driven quality practices that integrate traditional QA with AI-enabled approaches.

Responsibilities:

• Lead end-to-end test strategy planning and execution for releases (break-fix monthly and large-scale deployments)
• Manage and mentor a team of QA engineers ensuring clear ownership and accountability
• Drive risk-based testing approaches and proactively identify quality risks
• Collaborate with cross-functional teams (Dev Product DevOps Business)
• Define and execute functional regression integration and UAT testing
• Ensure high-quality test case design traceability and coverage
• Validate complex workflows across integrated systems (e.g. Salesforce SAP APIs middleware)
• Drive defect lifecycle management and root cause analysis
• Leverage AI tools (e.g. Copilot GenAI ML models) for:
• Test case generation and optimization
• Defect prediction and intelligent triaging
• Test data generation
• Risk identification and anomaly detection
• Identify opportunities to reduce manual effort using AI-assisted testing approaches
• Partner with engineering to introduce AI in test automation acceleration strategy
• Align QA activities with release management CAB/eCAB processes and code freeze policies
• Ensure test readiness across environments (QA staging production validation)
• Support production deployments smoke testing and hypercare validation
• Define and publish quality dashboards and KPIs:
• Defect leakage
• Test coverage
• Release quality index
• Cycle time reduction
• Provide leadership-ready insights and risk-based reporting
• Drive retrospectives and implement lessons learned
• Introduce process improvements using AI insights and analytics
• Promote a culture of ownership accountability and innovation

Qualification:

• Bachelors degree in Computer Science Engineering or equivalent
• 8 years of QA experience with 24 years in leadership role
• Strong expertise in manual testing for enterprise applications
• Experience in eCommerce domain or large-scale integrated systems
• Strong stakeholder communication (business leadership)
• Proven ability to drive ownership and accountability in teams
• Excellent risk identification and escalation mindset
• Coaching and mentoring QA engineers and leads
• Ability to operate in high-pressure release environments
• Hands-on experience with:
• Test management tools (Azure DevOps Jira etc.)
• API testing (Postman/REST tools)
• SQL/database validation
• Nice to have:
• Exposure to AI/ML concepts in QA or software engineering
• Experience using tools like GitHub Copilot / ChatGPT / AI-based QA tools
• Ability to translate business problems into AI-driven QA solutions