openlevermbaexchange
Client Onboarding Director
Paytm
LocationNoida, Uttar Pradesh
WorkplaceOn-roll
EmploymentOn-roll
Posted1777957963596
Last observed2026-06-13 05:24:57.430527
Job idmbaexchange-paytm:lever:26869a2d-534e-4aa8-922f-2020a6574cf1
Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, ownership structure, escalation path, and delivery cadence. Track deployment progress across multiple clients and ensure timely resolution of blockers. Drive consistency in delivery quality, client communication, and implementation standards across the onboarding team. Client Onboarding and Integration Management Oversee client onboarding across product configuration, data source integration, CRM integration, communication channel setup, user training, and adoption readiness. Work with Client Onboarding Managers to understand client systems, databases, architecture, workflows, and integration requirements. Coordinate with product and engineering teams to ensure technical dependencies are resolved on time. Review integration plans, data readiness, testing plans, and go live checklists for enterprise deployments. Ensure smooth handoff from pre sales and sales teams into delivery, with clear scope and success criteria. Client Stakeholder Management Act as senior delivery owner for enterprise clients during onboarding and implementation. Manage senior client stakeholders across business, product, technology, data, marketing, and operations teams. Conduct steering committee reviews, project status updates, and escalation discussions with client teams. Ensure clients are trained, enabled, and set up to realize early value from Paytm AI agents. Maintain high client confidence through structured communication, transparency, and timely issue resolution. Risk, Issue, and Escalation Management Identify delivery risks early across scope, integrations, timelines, data readiness, client dependencies, and product gaps. Build mitigation plans and escalation mechanisms to avoid deployment delays. Run root cause analysis for delivery delays, failed integrations, adoption gaps, or client escalations. Work with product, engineering, pre sales, and business teams to
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