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:
- Bachelor’s degree in Computer Science, Engineering, or equivalent
- 8+ years of QA experience, with 2–4 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
Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent
- 8+ years of QA experience with 2-4 years in a leadership role
- Strong expertise in manual testing for enterprise applications
- Experience in eCommerce domain or large-scale integrated systems
- Experience validating integrated systems such as Salesforce and SAP
- Hands-on experience with test management tools (Azure DevOps, Jira)
- API testing experience (Postman/REST tools)
- SQL/database validation experience
- Strong stakeholder communication and leadership skills
- Proven ability to drive ownership, accountability, and mentor QA engineers
- Excellent risk identification, escalation mindset, and ability to operate under high-pressure release environments
- Exposure to AI/ML concepts in QA or software engineering
- Experience using tools like GitHub Copilot, ChatGPT, or AI-based QA tools
- Ability to translate business problems into AI-driven QA solutions
Ecolab Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ecolab and has not been reviewed or approved by Ecolab.
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Retirement Support — Feedback suggests the company provides strong retirement programs, including a 401(k) with employer matching and a pension, alongside options like an employee stock purchase plan. Offerings such as retiree healthcare benefits and diverse investment choices reinforce long-term financial support.
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Healthcare Strength — Feedback suggests medical coverage is broad, with HSA plan options and company contributions, prescription benefits, dental and vision, and virtual care and mental health support. Company-paid wellness programs and income protection (short- and long-term disability, life and accident) further strengthen core coverage.
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Parental & Family Support — Family-focused programs include fertility support, adoption assistance, and paid parental leave, complemented by counseling and resource services. These offerings are positioned as supportive of employee well-being across different life stages.
Ecolab Insights
What We Do
A trusted partner at nearly three million customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $12 billion and more than 44,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world. For more Ecolab news and information, visit www.ecolab.com, or follow us on twitter.com/ecolab, facebook.com/ecolab or instagram.com/ecolab_inc.
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