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Paytm
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Client Onboarding Manager - Paytm (Inference and Agentic AI)

Paytm · Noida, Uttar Pradesh

Actively hiring Posted 5 days ago
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Role overview

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.

Responsibilities

  • Own client onboarding from sales handover to go-live.
  • Understand client workflows, systems, and integration requirements.
  • Coordinate with Product, Engineering, and Client teams for seamless deployment.
  • Manage onboarding timelines, milestones, and stakeholder communication.
  • Conduct client training sessions and drive product adoption.
  • Track onboarding KPIs, client satisfaction, and implementation success.
  • Gather client feedback and support continuous product improvements.

Basic qualifications

  • 2–5 years of experience in Client Onboarding, Implementation, Customer Success, or Solutions Engineering.
  • Experience in SaaS, Fintech, Enterprise Technology, or AI products preferred.
  • 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 related field.

Benefits

  • Be part of Paytm’s fast-growing AI business and work closely with enterprise clients to deliver cutting-edge AI-driven automation solutions at scale.

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