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 Client Onboarding Managers to drive successful deployment and adoption of its enterprise AI Agentic products. This role sits at the intersection of product, engineering, and client teams, and is responsible for translating enterprise requirements into scalable deployment plans. The role involves owning end to end onboarding from sales handoff to go live, ensuring seamless integrations, strong client adoption, and early value realization. The candidate will play a critical role in ensuring enterprise clients are successfully onboarded onto Paytm's AI platform and set up for long term success.

Key Responsibilities

Client Onboarding and Deployment

Own end to end onboarding of enterprise clients for Paytm's AI Agentic products from sales handoff to go live. Understand client systems, data architecture, and business workflows to design effective integration and deployment plans. Ensure successful integration with client data sources, CRM systems, and communication channels. Solutioning and Integration Translate client requirements into structured solutioning plans aligned with product capabilities. Work closely with product and engineering teams to drive integrations, resolve technical dependencies, and ensure smooth deployment. Identify potential risks in onboarding and proactively mitigate them.

Project Management and Execution

Drive project management for onboarding initiatives, including timelines, milestones, and stakeholder coordination. Act as the single point of ownership for onboarding delivery across internal and external stakeholders. Ensure timely and high quality execution of onboarding plans with minimal delays or errors. Client Enablement and Adoption Conduct training sessions, workshops, and walkthroughs to enable client teams on product usage and best practices. Drive early adoption by aligning product capabilities with client goals and use cases. Provide ongoing support during the initial adoption phase to ensure smooth transition to steady state usage.

Performance Tracking and Feedback

Track onboarding metrics such as time to onboard, adoption rates, and client satisfaction. Conduct root cause analysis for onboarding challenges and drive continuous improvement. Capture client feedback and work with product teams to enhance product capabilities and onboarding experience.

Ideal Candidate Profile

2 to 5 years of experience in client onboarding, implementation, solutions engineering, or customer success roles in SaaS, fintech, or enterprise tech. Strong understanding of APIs, data integrations, and enterprise system architectures. Experience managing end to end client implementations or onboarding programs. Strong problem solving skills with ability to translate business requirements into technical solutions. Excellent stakeholder management and communication skills, with ability to work across client and internal teams. High ownership mindset with ability to manage multiple onboarding projects simultaneously. Interest in AI products, automation, and enterprise technology platforms.

Skills and Qualifications

Strong project management and execution skills with attention to detail. Ability to understand and work with technical concepts such as APIs, data pipelines, and system integrations. Strong communication skills with ability to conduct client workshops and training sessions. Analytical mindset with ability to track metrics and drive data led improvements.Comfort working in fast paced, cross functional environments.Proficiency in tools such as Excel, project management tools, and documentation platforms.Bachelor's degree in Engineering, Business, or a related field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.