Customer Success Engineer (Technical Business Analyst)

As a Customer Success Engineer at the company located in Bangalore, you will play a crucial role in advocating for the engineering teams (customers) by assisting them in adopting and utilizing the Engineering Excellence platform effectively. Your primary responsibilities will include collaborating with customers to understand their business problems, building and customizing solutions using OpenAI API or similar LLM platforms, and providing support for technical issues across AI workflows, APIs, and integrations. You will also be involved in customer onboarding, demos, and proof-of-concept implementations, monitoring system performance, and documenting solutions and best practices for stakeholders. Key Responsibilities: - Collaborate with customers to understand business problems and translate them into AI-driven solutions - Build and customize solutions using OpenAI API or similar LLM platforms - Debug and resolve technical issues across AI workflows, APIs, and integrations - Support customer onboarding, demos, and proof-of-concept (POC) implementations - Monitor system performance and suggest optimizations for scalability and reliability - Document solutions, workflows, and best practices for internal and external stakeholders Qualifications: - Bachelor's degree in science stream or equivalent - Communication Skills: Clearly explaining ideas, actively listening, and maintaining strong relationships with customers - Customer-Centric Mindset: Understanding customer needs and ensuring they achieve value from the product or service - Problem-Solving Ability: Identifying issues quickly and providing effective, practical solutions - 4+ years of experience in Customer Success, Technical Support, Technical Account Management, or similar customer-facing roles - Understanding of software development lifecycle (SDLC), APIs, and system integrations - Hands-on experience with ticketing platforms like Jira, including ticket lifecycle management, SLA adherence, and incident handling (P1/P2) - Experience troubleshooting production issues, performing root cause analysis (RCA), and coordinating with engineering teams - Familiarity with developer tools, engineering platforms, or DevOps ecosystems (CI/CD, monitoring, logging) - Experience in delivering product demos, technical walkthroughs, or proof-of-concepts (POCs) to customers - Strong problem-solving and solutioning mindset with the ability to translate business needs into technical solutions - Excellent communication and stakeholder management skills, with the ability to simplify complex technical concepts - Understanding of Agile/Scrum methodologies and working in cross-functional teams Preferred Qualifications: - Exposure to Agentic AI frameworks or LLM-based applications (e.g., LangChain or similar) - Prior experience in a software engineering, DevOps, or technical implementation role - Experience with ITSM tools like ServiceNow - Knowledge of monitoring, logging, and performance optimization tools - Experience driving product adoption, onboarding, and customer training initiatives - Familiarity with AI/ML concepts, prompt engineering, or automation workflows - Experience creating technical documentation, playbooks, or training content Location: Roach Olympus, Sy No 90, Panathur Village, Varthur Hobli, Bangalore East Tq, Karnataka 560103 POC: Sandeep, 9032378741 Note: Immediate joiners are preferred for this position. As a Customer Success Engineer at the company located in Bangalore, you will play a crucial role in advocating for the engineering teams (customers) by assisting them in adopting and utilizing the Engineering Excellence platform effectively. Your primary responsibilities will include collaborating with customers to understand their business problems, building and customizing solutions using OpenAI API or similar LLM platforms, and providing support for technical issues across AI workflows, APIs, and integrations. You will also be involved in customer onboarding, demos, and proof-of-concept implementations, monitoring system performance, and documenting solutions and best practices for stakeholders. Key Responsibilities: - Collaborate with customers to understand business problems and translate them into AI-driven solutions - Build and customize solutions using OpenAI API or similar LLM platforms - Debug and resolve technical issues across AI workflows, APIs, and integrations - Support customer onboarding, demos, and proof-of-concept (POC) implementations - Monitor system performance and suggest optimizations for scalability and reliability - Document solutions, workflows, and best practices for internal and external stakeholders Qualifications: - Bachelor's degree in science stream or equivalent - Communication Skills: Clearly explaining ideas, actively listening, and maintaining strong relationships with customers - Customer-Centric Mindset: Understanding customer needs and ensuring they achieve value from the product or service - Problem-Sol