Customer Success Engineer

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.