Salesforce Manager, Quality Assurance & Consulting

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Salesforce Manager, Quality Assurance & Consulting based in India. This role offers the opportunity to lead quality engineering strategy and delivery for enterprise Salesforce and cloud technology programs. You will combine technical expertise, consulting skills, and people leadership to build scalable quality practices. The position plays a key role in improving software reliability, delivery excellence, and customer outcomes through innovative engineering approaches. You will collaborate with product, engineering, architecture, and delivery teams to embed quality throughout the development lifecycle. The role involves driving automation, Agile practices, AI-powered testing capabilities, and continuous improvement initiatives. You will help shape a high-performing quality engineering culture while mentoring teams and influencing enterprise technology solutions.
• Accountabilities: The role is responsible for leading quality engineering initiatives, managing consulting engagements, and developing a strong quality practice that supports successful technology delivery. Own end-to-end Quality Engineering activities across enterprise Salesforce and cloud-based delivery programs. Define and implement test strategies, test plans, quality gates, release readiness processes, and overall testing frameworks. Lead functional, API, integration, system, regression, performance, security, AI, and non-functional testing initiatives. Identify delivery risks, create mitigation strategies, and act as a quality advisor for project stakeholders. Partner with engineering, product, and delivery teams to integrate quality practices throughout the software development lifecycle. Build scalable automation frameworks, CI/CD quality controls, and reusable engineering assets. Drive shift-left testing approaches, DevOps-based quality practices, and engineering productivity improvements. Apply Generative AI and Agentic AI capabilities to enhance testing processes and develop AI-assisted quality engineering solutions. Support Agile delivery by contributing to Scrum ceremonies, sprint planning, backlog refinement, dependency management, and release planning. Translate business requirements into effective quality strategies in collaboration with product owners, architects, and engineering teams. Build and scale the Quality Engineering practice through governance, standardization, KPIs, best practices, and continuous improvement. Lead hiring, onboarding, mentoring, career development, performance management, and team growth initiatives. Manage resource planning, utilization, capacity forecasting, operational reporting, and stakeholder communication. Requirements: The ideal candidate brings extensive experience in quality engineering leadership, enterprise technology delivery, consulting, and team management. 12+ years of experience in Quality Engineering, including 4+ years leading engineering teams. Strong hands-on expertise in functional testing, automation, API testing, integration testing, performance testing, security testing, and enterprise testing practices. Proven experience delivering enterprise Salesforce and/or AWS implementations within a consulting or technology services environment. Experience creating automation frameworks, DevOps-enabled testing processes, and quality engineering strategies. Strong understanding of Agile methodologies and experience leading Scrum teams. Demonstrated ability to manage people, delivery operations, staffing, forecasting, executive communication, and stakeholder relationships. Experience applying Generative AI and Agentic AI concepts to modernize quality engineering practices. Strong consulting mindset with the ability to understand business processes and translate them into technical quality solutions. Excellent leadership, communication, problem-solving, and collaboration skills. Experience establishing Quality Engineering Centers of Excellence or similar practice models is preferred. Familiarity with Salesforce, AWS, Amazon Connect, Service Cloud Voice, IVR, Contact Center, Conversational AI, or AI agent implementations is a plus. Relevant certifications such as ISTQB, Scrum Master, Salesforce, AWS, or SAFe are beneficial. Benefits: Remote work flexibility for candidates based in India. Opportunity to work on innovative Salesforce, cloud, and AI-driven transformation initiatives. Flexible work culture focused on trust, ownership, and work-life balance. Collaboration with experienced professionals across engineering, consulting, and technology domains. Opportunities for career development, mentorship, and continuous learning. Exposure to emerging technologies including Generative AI and Agentic AI solutions. Inclusive and collaborative workplace culture that values diverse perspectives. Potential travel opportunities for client engagements depending on role requirements.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
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