Client Onboarding Manager, Agentic AI | Enterprise Deployment and Integrations

This role picks up an enterprise customer at the moment the sale closes and carries them to a working deployment. Paytm serves over 450 million consumers and 45 million merchants, and it is now building a full stack AI platform for inference and agents that large enterprises use to automate sales, service, operations and analytics. You own onboarding from sales handover to go live: understanding the client's workflows, systems and integration requirements, coordinating product and engineering against a timeline, running training sessions and tracking whether adoption actually happens. Manager here refers to managing an onboarding programme rather than people. At 2 to 5 years it is one of the more accessible customer facing technical roles in this edition, and it asks for real technical literacy around APIs and integrations rather than pure account management. Who it is for: Required - 2 to 5 years of experience in Client Onboarding, Implementation, Customer Success or Solutions Engineering. - Good understanding of APIs, integrations, CRM systems and enterprise workflows. - Strong project management, problem solving and stakeholder management skills. - Excellent communication and client facing abilities. - Bachelor's degree in Engineering, Business or a related field. Unlike Paytm's presales posting in this same edition, no Tier 1 institution requirement is published here. Preferred - Experience in SaaS, fintech, enterprise technology or AI products. The day to day - Owning client onboarding from sales handover through to go live. - Understanding client workflows, systems and integration requirements. - Coordinating product, engineering and client teams for deployment. - Managing onboarding timelines, milestones and stakeholder communication. - Running client training sessions and driving product adoption. - Tracking onboarding KPIs, client satisfaction and implementation success. - Gathering client feedback to feed product improvement. About the team The posting describes the Inference and Agentic AI group as a cross functional unit spanning engineering, product, data science, business management and sales, owning the full lifecycle of AI solutions from opportunity discovery through deployment and scale. That breadth is a genuine advantage early in a career: you see how an enterprise AI product is actually sold, built and adopted. Location and working style Noida, Uttar Pradesh. No remote arrangement is stated. Honest fit guidance This is a customer facing implementation role, not an engineering role, and you should apply with that clearly in mind. You will not be building the platform. You will be making it work inside somebody else's company, which means integration troubleshooting, timelines and training rather than writing production code. For a reader two or three years into a support, implementation or solutions role, it is a good step up, and the API and integration requirement means technical skill is genuinely used rather than decorative. Paytm has five separate openings in this edition across engineering, QA and customer facing work. They are different teams at different levels, and the customer facing ones vary a lot in how restrictive their education requirements are, so compare before applying. .