Role Overview: We are seeking a proactive Customer Success Engineer to support customer success through technical engagement, automation expertise, product enablement, and effective issue resolution. Key Responsibilities : • Testing Automation/Manual : Build and maintain automated tests; guide customers on automation best practices. • Customer Engagement: Build strong relationships; understand needs and drive adoption. • Product Enablement: Deliver product training, demos, and onboarding support. • Demos/POCs: Conduct tailored demonstrations and proof-of-concept sessions. • Incident Management: Troubleshoot and resolve customer issues with internal teams. • Documentation: Review and improve product documentation and knowledge base content. Skills & Qualifications : • 2–3 years in a technical, customer-facing role. • Strong test automation knowledge. • Excellent communication and problem-solving skills. • Ability to deliver technical presentations and training. • Having Experience in working with Test Automation Projects. • AI Literate: Hands-on experience using AI-powered tools (such as ChatGPT, GitHub Copilot, Microsoft Copilot, or similar) to improve productivity in test automation, scripting, troubleshooting, documentation, customer support, and technical content creation. • Understanding of prompt engineering concepts and the ability to effectively leverage Generative AI to enhance engineering and customer success workflows. • Self-driven, adaptable, and eager to learn emerging AI technologies and apply them to customer success and technical enablement. • Understanding of software testing concepts, including Manual and Automation Testing, with the ability to confidently discuss testing processes and technical requirements with clients. • Knowledge of SDLC, STLC, functional/regression testing, Types of testing, defect lifecycle, UAT, and test automation concepts is required. • Candidates must have sufficient technical understanding of QA/testing processes to effectively bridge client requirements with internal technical, QA, and engineering teams.