This role is for one of Weekday’s clients
Salary range: Rs 1000000 - Rs 2400000 (ie INR 10 - 24 LPA)

Min Experience: 2+ years
Location: NCR
JobType: full-time

We are looking for a technically strong and customer-focused Technical Account Manager (TAM) with 2–8 years of experience to manage technical relationships with clients and ensure successful implementation, integration, adoption, and ongoing performance of technology solutions. The ideal candidate should have hands-on exposure to chatbot technologies, API testing, troubleshooting, integrations, and customer-facing technical support.

The role requires someone who can understand customer requirements, translate them into technical solutions, coordinate with internal engineering and product teams, and ensure timely resolution of technical issues. Strong communication, problem-solving, and stakeholder management skills are essential.

Requirements

Key Responsibilities

• Act as the primary technical point of contact for assigned customers, understanding their business requirements and technical challenges.
• Drive customer onboarding, implementation, integration, testing, and adoption of products and solutions.
• Work closely with customers to configure, deploy, monitor, and optimize chatbot and conversational AI solutions.
• Understand chatbot workflows, intents, entities, conversation flows, integrations, fallback mechanisms, and response accuracy.
• Perform and coordinate API testing for REST APIs and other service integrations using tools such as Postman or similar platforms.
• Validate API requests, responses, authentication, status codes, payloads, headers, error handling, and integration workflows.
• Troubleshoot API, chatbot, integration, configuration, and application-level issues and coordinate with engineering teams for resolution.
• Analyze logs, error messages, API responses, and system behavior to identify potential root causes.
• Work with Product, Engineering, QA, Support, and Implementation teams to resolve customer issues within agreed timelines.
• Translate technical concepts into clear and understandable communication for both technical and non-technical stakeholders.
• Conduct product demonstrations, technical walkthroughs, integration discussions, and solution presentations for customers.
• Track customer issues, enhancement requests, dependencies, and technical risks through appropriate ticketing or CRM systems.
• Monitor implementation milestones, identify potential blockers, and ensure successful delivery.
• Provide regular updates to customers regarding incidents, resolutions, product changes, and implementation progress.
• Identify opportunities to improve product adoption, customer experience, and technical processes.
• Prepare technical documentation, integration guides, troubleshooting notes, and knowledge-base materials where required.

Must-Have Skills

• 2–8 years of experience in Technical Account Management, Technical Support, Application Support, Implementation, Customer Success, QA, or a related technical role.
• Strong understanding of Chatbot / Conversational AI platforms and chatbot workflows.
• Hands-on experience with API Testing, particularly REST APIs.
• Good knowledge of Postman or similar API testing tools.
• Understanding of JSON, HTTP methods, status codes, request/response structures, authentication, and API integrations.
• Ability to troubleshoot technical issues and perform basic root-cause analysis.
• Strong understanding of software integrations and system-to-system communication.
• Excellent customer-facing and stakeholder management skills.
• Strong verbal and written communication skills.
• Ability to manage multiple customer requirements, issues, and priorities simultaneously.

Good to Have

• Experience with conversational AI, NLP, LLM-based chatbots, or voicebot solutions.
• Knowledge of webhooks, SDKs, databases, SQL, JavaScript, or scripting languages.
• Exposure to API automation, API monitoring, or performance testing.
• Familiarity with Jira, ServiceNow, Salesforce, Zendesk, or similar platforms.
• Experience working with SaaS products and enterprise customers.
• Basic understanding of cloud platforms and application architecture.