Pre-sales Manager, Inference and Agentic AI job opportunity at Paytm.



Date2026-04-29 bot
Paytm Pre-sales Manager, Inference and Agentic AI
Experience: 6-years
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Inference and Agentic AI

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degreeMBA
loacation Noida, Uttar Pradesh, India
loacation Noida, Uttar P..........India
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<p><b>About Paytm</b></p><p><br></p><p>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.</p><p>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.</p><p>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.</p><p><br></p><p><b>Role Overview</b></p><p><br></p><p>Paytm is looking to hire Pre Sales Managers to support technical pre-sales and solutioning for Paytm’s AI Inference and Agentic AI products across enterprise clients.</p><p>This role will report to the Pre Sales Lead and work closely with enterprise sales teams to bring product depth, technical understanding, demos, and solutioning support into client conversations.</p><p>The role involves understanding client requirements, mapping them to Paytm AI capabilities, supporting demos and POCs, and helping sales teams answer technical and product queries from client stakeholders.</p><p>The candidate will act as a key bridge between sales, product, engineering, and client teams to ensure enterprise opportunities are scoped clearly and converted into feasible solutions.</p><p>The role requires strong technical understanding, client facing communication, solutioning ability, and interest in AI agents, enterprise systems, integrations, and automation use cases.</p><p><br></p><p><b>Key Responsibilities</b></p><p><br></p><p>Client Discovery and Requirement Understanding Support discovery sessions with enterprise clients to understand business goals, current systems, workflows, data sources, and automation needs.</p><p>Capture client requirements and translate them into clear use cases, solution notes, and implementation inputs.</p><p>Identify integration needs, data dependencies, technical constraints, and feasibility considerations.</p><p>Work with sales teams to shape client specific narratives and product positioning.</p><p>Document client requirements clearly for internal product, engineering, onboarding, and business teams.</p><p>Technical Pre Sales and Client SupportSupport enterprise sales teams in client meetings by answering product, technical, integration, data, and architecture related queries.</p><p>Explain Paytm AI product capabilities, workflows, deployment approach, data requirements, and integration models in simple business language.</p><p>Participate in client workshops, solutioning discussions, and technical review meetings.</p><p>Help clients understand expected impact, effort, timelines, dependencies, and success metrics.</p><p>Support the Pre Sales Lead in preparing for CXO and senior stakeholder meetings.</p><p>Demos, POCs, and Solution Prototypes</p><p>Prepare and deliver tailored product demos for enterprise clients based on use case, industry, and client needs.</p><p>Work with product and engineering teams to configure demo environments, prototypes, and POC setups.</p><p>Support definition of POC scope, success criteria, data requirements, timelines, and evaluation metrics.</p><p>Track POC progress, capture feedback, and coordinate issue resolution with internal teams.</p><p>Convert demo and POC learnings into sharper solution notes and product feedback.</p><p>Proposal and Sales Enablement S</p><p>upportCreate solution notes, integration flows, demo scripts, technical FAQs, and proposal inputs for enterprise opportunities.</p><p>Support responses to RFPs, client questionnaires, security reviews, and technical due diligence requests.</p><p>Build reusable pre sales assets such as use case libraries, objection handling notes, demo walkthroughs, and client facing FAQs.</p><p>Help train enterprise sales teams on product capabilities, technical basics, integration models, and demo narratives.</p><p>Ensure consistent and accurate communication of Paytm AI capabilities across client conversations.</p><p>Product Feedback and Cross Functional CoordinationCapture structured feedback from clients on product capabilities, integrations, usability, reporting, and adoption barriers.</p><p>Work with product and engineering teams to convert recurring client asks into roadmap inputs and solution improvements.</p><p>Coordinate with client onboarding teams to ensure smooth handoff from pre sales to implementation.</p><p>Collaborate with business, sales, product, engineering, security, legal, and onboarding teams to close open requirements.</p><p>Maintain a clear tracker of open client asks, demo feedback, POC progress, and solutioning dependencies.</p><p><br></p><p><b>Ideal Candidate Profile</b></p><p><br></p><p>3 to 6 years of experience in pre sales, solution consulting, solutions engineering, product consulting, implementation consulting, customer success, or enterprise technology roles.</p><p><br></p><p>Experience working with enterprise clients in SaaS, AI, automation, CRM, marketing technology, cloud, data platforms, fintech, or enterprise software.</p><p>Good understanding of APIs, system integrations, data flows, enterprise applications, cloud platforms, and product implementation cycles.</p><p>Ability to understand client business problems and translate them into clear solution approaches.</p><p>Strong client facing communication skills with comfort in both technical and business discussions.</p><p>Experience supporting demos, POCs, proposals, RFPs, client questionnaires, or technical workshops.</p><p>Ability to work closely with sales, product, engineering, security, legal, and onboarding teams.</p><p>High ownership mindset with ability to operate in fast moving and ambiguous environments.</p><p>Interest in AI agents, LLMs, automation, analytics, and enterprise digital transformation.</p><p><br></p><p><b>Skills and Qualifications</b></p><p><br></p><p>Strong solutioning and technical pre sales skills for enterprise technology products.</p><p>Good understanding of APIs, databases, CRM systems, data pipelines, cloud platforms, and enterprise integrations.</p><p>Ability to create solution notes, integration flows, POC plans, demo scripts, and technical proposal inputs.</p><p>Strong communication and presentation skills for client workshops and technical discussions.</p><p>Ability to explain AI and automation concepts in simple business language.</p><p>Strong problem solving skills with ability to structure ambiguous client requirements.</p><p>Comfort with tools such as Google Slides, Google Sheets, diagramming tools, CRM tools, and AI enabled productivity tools.</p><p>Bachelor’s degree in Engineering, Computer Science, Business, or a related field. MBA or technical postgraduate degree is a plus.</p><p><br></p><p><b>Educational Qualification</b></p><p>Must have: Bachelor's degree from Tier 1 institutions such as IITs, SRCC, St. Stephen’s, etc.</p><p>Good to have: MBA from Tier 1 institutions such as IIM A, B, C or ISB.</p>\n<p></p><p><br></p><p></p>\n

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