As an AI Customer Success Specialist, you will help customers successfully adopt and maximize the value of AI-powered platforms, applications, and enterprise solutions. You will leverage your communication, technical, and problem-solving skills to guide users, resolve issues, provide product education, and ensure an outstanding customer experience throughout their AI journey.

Your responsibilities may include onboarding customers, assisting with AI platform adoption, troubleshooting technical issues, providing product guidance, gathering customer feedback, collaborating with engineering and product teams, and helping improve AI-powered products and services.

Responsibilities

• Guide customers through onboarding and successful adoption of AI-powered platforms and applications.

• Build strong relationships with customers by understanding their needs and helping them achieve their goals.

• Provide product demonstrations, training sessions, and best practices for using AI solutions effectively.

• Respond to customer inquiries via email, chat, phone, or ticketing systems in a timely and professional manner.

• Troubleshoot technical issues and collaborate with engineering teams to resolve complex problems.

• Monitor customer satisfaction and proactively identify opportunities to improve the user experience.

• Collect customer feedback and communicate product enhancement suggestions to internal teams.

• Assist customers with AI workflows, integrations, APIs, and platform configuration when applicable.

• Maintain accurate records of customer interactions, issues, and resolutions.

• Develop and update help center articles, FAQs, and knowledge base documentation.





• Ensure high customer satisfaction by meeting service quality standards and response time objectives.

• Contribute to improving customer success processes and AI product usability.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Communications, or a related field.

• Excellent verbal and written communication skills.

• Strong analytical and problem-solving abilities.

• Ability to explain technical concepts clearly to both technical and non-technical users.

• Customer-focused mindset with a passion for helping users succeed.

• Basic understanding of SaaS platforms, AI applications, and software products.

• Strong organizational and time-management skills.

• Prior experience in customer success, technical support, client services, or a related role is preferred but not mandatory.

Preferred Qualifications

• Experience working with AI-powered applications, SaaS products, or enterprise software.

• Familiarity with Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, Llama, or similar AI systems.

• Knowledge of Prompt Engineering, AI workflows, and automation tools.

• Basic understanding of APIs, REST services, JSON, and software integrations.

• Experience with CRM and customer support platforms such as Salesforce,



HubSpot, Zendesk, Freshdesk, or similar tools.

• Familiarity with Python, JavaScript, SQL, or basic software debugging is a plus.

• Experience using Git, cloud platforms, or modern collaboration tools is advantageous.

• Strong attention to detail and commitment to delivering exceptional customer experiences.

Skills

• Customer Success

• Client Relationship Management

• AI Platform Support

• Technical Communication

• Problem Solving

• Customer Onboarding

• Product Training

• Troubleshooting

• SaaS Applications

• AI Applications

• Large Language Models (LLMs)

• Prompt Engineering

• API Fundamentals

• CRM Tools

• Documentation

• Quality Assurance

• Critical Thinking

• Time Management

• Team Collaboration

• Communication Skills

Compensation

Projects are compensated based on complexity and duration, with earnings ranging from ₹130/hour to ₹387/hour.

What You'll Gain

• Work with cutting-edge Generative AI platforms and enterprise AI applications.

• Gain hands-on experience supporting customers using up-to-date AI technologies.

• Develop expertise in customer success, AI adoption, product enablement, and technical troubleshooting.

• Build practical knowledge of LLMs, AI workflows, prompt engineering, and SaaS platforms.

• Collaborate with AI researchers, engineers, product managers, and customer success teams to improve next-generation AI solutions.

• Grow your career in Customer Success, AI Operations, Product Management, Technical Consulting, or AI Solutions Engineering.

📌 AI Customer Success Specialist (Bareilly)
🏢 Data Eminence
📍 Bareilly