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Product Management - Product Manager - Lending Platform

Paytm · Noida, Uttar Pradesh

Product Noida, Uttar Pradesh Bengaluru, Karnataka Posted May 16, 2026

About Us:

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

Expectation:

• Working closely with vertical product managers/ business leads to understand product use cases, customer journeys, business applicability and impact of each use case.

• Ability to understand different technology platforms, their features and be able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables

• Make sure that clear, simple, and technically sound decisions are made

• With your strong domain knowledge of lending platforms, we expect you to provide your subject matter expertise in requirements solutioning

• Ability to work with multiple stakeholders / senior management / cross-functional teams to influence them for quicker decisions, manage sudden technical roadblocks and be able to clear them

• Lead product team processes (Agile/Scrum) and manage expectations and track roadmap regularly

• Be involved in what your team is building - Run edge cases, test products proactively and its features to provide feedback early in the cycle, make sure entire journeys are covered, and that product reporting exists to track KPIs for the product and its success (data-driven product management).

Superpowers that will help you succeed in this role:

• Bachelor’s degree in engineering, computer science and/or related field

• Professional experience in a product management or analytical role with hands on experience in banking processes

• Having deep understanding of Lending and LMS (Loan Management System) Platform(s) in Product Management role building credit platform products Knowledge of Fintech/ BFSI/ Lending domain

• Exp should be in between 3 - 8 years, out of which minimum 3 years in product management.

• Solutions orientated within a high-energy and fast-paced work environment

• Exceptional customer experience intuition; demonstrated success in creating innovative and user-friendly products and customer-facing features

• Possess excellent oral, written, verbal and interpersonal communication skills

Why join us:

• A collaborative output driven program that brings cohesiveness across businesses through technology.

• Improve the average revenue per use by increasing the cross-sell opportunities.

• A solid 360 feedback from your peer teams on your support of their goals.

Respect that is earned, not demanded from your peers and manager.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here.

It’s your opportunity to be a part of the story!

Ready to apply?

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AI Solutions Architect

Paytm · Noida, Uttar Pradesh

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Solutions Engineering Bangalore, Karnataka Noida, Uttar Pradesh Posted May 16, 2026

About The Team Paytm Intelligence is building next-generation AI platforms across two key areas: AI inference infrastructure and agentic AI solutions. Our focus is on enabling enterprises to move from AI experimentation to production-grade deployment with measurable business outcomes. In the agentic AI space, we are building solutions such as Outreach Manager, CLM agents, and domain-specific AI agents that automate complex customer journeys across sales, service, and operations. These systems go beyond traditional chatbots, orchestrating workflows, decisions, and actions across enterprise systems.

About the role: We are hiring an AI Agentic Solutions Architect to drive enterprise adoption of AI-powered workflow automation. This role sits at the intersection of business process transformation, AI systems, and enterprise sales. You will work directly with enterprise customers to understand their workflows, identify automation opportunities, and design agentic solutions that deliver measurable outcomes such as cost reduction, conversion uplift, and improved customer experience.

Location: Noida/Bengaluru

Experience: 7-10 years

Function: AI Solutions / Enterprise Sales Engineering

Responsibilities:

Customer Journey and Workflow Design:

• Map end-to-end customer journeys across sales, support, and operations

• Identify high-impact automation opportunities

• Design agent-driven workflows across systems and teams

Solution Architecture:

• Design agentic AI systems including orchestration, APIs, and integrations

• Combine LLMs, rules, and enterprise systems into scalable architectures

Business Value Articulation:

• Translate solutions into measurable outcomes such as cost reduction and conversion uplift

• Support deal teams with ROI narratives

POC and Deployment:

• Lead proof-of-concept engagements with clear success metrics

• Ensure POCs convert to production deployments

Stakeholder Engagement:

• Engage both business and technical stakeholders

• Handle scepticism from prior AI failures

Reusable Playbooks:

• Build repeatable solution frameworks across industries

• Enable sales teams with structured use cases

Superpowers/ Skills that will help you succeed in this role:

• 5–8 years in AI/ML, SaaS, or workflow automation

• Experience working with enterprise customers

• Strong understanding of customer journeys and business processes

• Familiarity with APIs, integrations, and enterprise systems

• Ability to communicate with both technical and business stakeholders

Key Result Areas (KRAs)

• Deal Impact: Influence deal progression and win rates

• POC Conversion: Convert pilots to production deployments

• Business Value Articulation: Deliver quantified outcomes

• Workflow Depth: Build strong, repeatable use cases

• Customer Credibility: Build trust with enterprise stakeholders

Why join us: Merit-based culture that thrives on self-motivated & driven individuals who are set out to make a successful career in India’s fastest-growing Fintech Organization. Agile & democratic setup that gives space to your creativity, and offers the opportunity to work at scale coupled with an environment that encourages diverse perspectives at all times.

Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Ready to apply?

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Product Analyst- Manager- Paytm Ads

Paytm · Noida, Uttar Pradesh

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Product Bangalore, Karnataka Noida, Uttar Pradesh Mumbai, Maharashtra Posted May 14, 2026

About Us:

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

About the Team

Paytm Ads is the digital advertising platform of Paytm, enabling brands to reach and engage with over 350M+ users across Paytm’s ecosystem of 200+ payment, commerce, and retail services—both online and offline. By leveraging transaction signals and behavioral insights, Paytm Ads enables advertisers to target highly relevant consumer cohorts and deliver performance-driven campaigns.

About the Role

We are looking for a Manager – Product Analytics to drive data-led decision making across the Paytm Ads platform. This role works closely with Product, Data Engineering, Sales, and Operations teams to analyze product performance, user behavior, and campaign outcomes, translating data into actionable insights that improve advertiser and platform performance.

Key Responsibilities:

● Build and maintain automated dashboards and BI reports for key product and revenue metrics.

● Write advanced SQL queries to analyze large datasets and generate actionable insights.

● Analyze product usage, funnels, retention, and feature adoption to identify growth opportunities.

● Conduct A/B testing, cohort analysis, and segmentation to measure product and campaign impact.

● Track and optimize digital marketing performance metrics such as CAC, ROI, CTR, and conversions.

● Translate business/product questions into structured analysis recommendations for stakeholders.

Qualifications:

● B.E./B.Tech from a reputed engineering institute

● Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles.

● Strong SQL expertise for large-scale data analysis and reporting.

● Experience with BI tools such as Superset, Tableau, Power BI, or Looker.

● Solid understanding of product analytics, marketing metrics, funnels, and experimentation frameworks.

● Familiarity with digital marketing platforms such as Google Ads and Meta Ads Manager.

● Experience in AdTech / MarTech ecosystems is preferred but not mandatory.

Why join us:

Work with a high-performing and passionate product, design, and engineering team. Shape the future of credit for millions of users. Build at scale in one of India’s most dynamic and regulated spaces. Flexible and inclusive work environment with fast decision-making and ownership.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Ready to apply?

Apply to Paytm

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Performance Marketing Lead

Paytm · Noida, Uttar Pradesh

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Marketing / Growth Noida, Uttar Pradesh Posted May 8, 2026

About Us: Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion.

Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors.

Role Overview: We are looking for an experienced Performance Marketing leader to drive scalable and efficient user growth for Paytm Money within the Paytm ecosystem.

This role will own the end-to-end paid growth charter across mutual funds, equities, derivatives and MTF with a strong focus on acquisition efficiency, funnel optimization, and ROI-driven scaling.

Sitting at the intersection of marketing, analytics, and product, this role will play a critical part in accelerating new user acquisition, improving activation rates, and maximizing lifetime value across investment products.

Key Responsibilities:

1. Performance Marketing Strategy & Ownership:

* Own and drive the performance marketing strategy across channels (Google, Meta,, programmatic, OEMs).

* Manage large-scale acquisition budgets with a strong focus on ROI, CAC, and payback periods.

* Scale user acquisition across mutual funds, equities, and derivatives segments.

2. User Acquisition & Funnel Optimization:

* Build and optimize full-funnel campaigns—from awareness to conversion (app installs, KYC completion, first trade/investment).

* Improve conversion rates across onboarding journeys (demat account opening, SIP setup, trading activation).

* Continuously refine targeting, creatives, and landing experiences.

3. Data-Led Growth & Experimentation

* Leverage analytics frameworks (A/B testing, attribution modeling, cohort analysis) to drive decision-making.

* Identify funnel drop-offs and optimize user journeys across acquisition and activation stages.

* Partner with analytics teams to build robust LTV, CAC, and ROI models.

4. Channel Expansion & Innovation:

* Identify and scale new acquisition channels (OEM partnerships, fintech alliances, influencer-led growth).

* Experiment with emerging formats such as video commerce, vernacular campaigns, and content-led acquisition.

* Drive innovation in performance marketing through automation and AI-driven optimization.

5. Product & Marketing Integration:

* Work closely with Product and business teams to improve landing pages, onboarding flows, and conversion journeys.

* Influence product features that enhance acquisition and activation (e.g., simplified KYC, personalized onboarding).

* Align marketing campaigns with product releases and feature launches.

6. Retention & Lifecycle Marketing (Support Role):

* Collaborate with CRM and lifecycle teams to improve activation and early retention.

* Enable seamless transition from acquisition to engagement journeys (SIPs, trading behavior).

7. Stakeholder Management & Leadership:

* Collaborate cross-functionally with Product, Analytics, and Business teams.

* Present campaign performance, insights, and growth opportunities to senior leadership.

* Build and mentor a high-performing performance marketing team.

Key KRAs / Success Metrics:

* Cost per acquisition (CPA) and Customer Acquisition Cost (CAC)

* Conversion rates across funnel stages (install → KYC → activation)

* Volume of new users (demat accounts, SIP registrations, traders)

* ROI and payback period on marketing spends

* Contribution to overall user growth and revenue

Qualifications & Experience:

* 10+ years of experience in performance marketing / growth roles

* Strong background in broking, wealth management, or fintech platforms

* Proven track record of managing large-scale digital acquisition budgets

* Deep understanding of stock markets, mutual funds, and derivatives ecosystem

* Experience in scaling user acquisition for consumer internet platforms

Key Skills:

* Performance marketing & media buying

* Funnel optimization & conversion rate improvement

* Data analytics & attribution modeling

* Growth experimentation frameworks

* Martech tools and campaign automation

* Stakeholder management & leadership

Ready to apply?

Apply to Paytm

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Lead-Performance Marketing

Paytm · Noida, Uttar Pradesh

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Marketing / Growth Noida, Uttar Pradesh Posted May 8, 2026

Role: Affiliate & B2B Customer Acquisition – Paytm Money (PML)

About Us:

Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion.

Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors.

Role Overview: We are looking for an experienced Affiliate Marketing leader to build and scale the affiliate and partnerships growth channel for Paytm Money. This role will own the end-to-end affiliate charter across mutual funds, equities, and derivatives, driving high-quality user acquisition through publishers, partners, and performance networks. The ideal candidate will bring deep expertise in affiliate ecosystems—especially within broking, fintech, or wealth platforms—and will focus on scaling this channel efficiently with strong ROI and quality metrics.

Key Responsibilities

Affiliate Strategy & Channel Ownership: Own and drive the affiliate marketing strategy across all investment products.

Build a scalable affiliate engine leveraging networks, direct publishers, and strategic partnerships. Manage budgets, payouts, and ROI.

Partner Acquisition & Ecosystem Building: Onboard and manage affiliate partners including content platforms, fintech aggregators, influencers, and broker comparison platforms. Build strong publisher relationships and unlock new partnerships.

User Acquisition & Quality Control: Drive high-quality acquisition (demat accounts, SIPs, active traders) while monitoring traffic quality, conversion rates, and fraud. Ensure alignment with long-term LTV and retention

Campaign Management & Optimization: Launch and optimize campaigns across partners. Improve creatives, messaging, and landing pages.

Continuously refine commission structures and incentives.

Data & Performance Analytics: Track performance using attribution tools. Monitor CAC, conversion, activation, and ROI. Identify funnel gaps and optimize continuously.

Product & Growth Collaboration: Work with Product and Growth teams to improve landing pages and onboarding journeys. Align campaigns with launches and offers.

Compliance & Governance: Ensure adherence to regulatory guidelines in financial services. Monitor and prevent fraudulent traffic. Maintain transparency in partner engagements.

Stakeholder Management & Leadership: Collaborate with internal teams and present insights to leadership. Build and scale the affiliate function.

Key KRAs / Success Metrics

User acquisition via affiliates (demat accounts, SIP registrations, traders), CPA and ROI, conversion rates (click to KYC to activation), activation metrics (first trade, SIP setup), traffic quality and fraud control, and overall contribution of affiliate channel to growth.

Qualifications & Experience:

8–12+ years of experience in affiliate, partnerships, or performance marketing. Strong background in broking, fintech, or wealth platforms. Proven track record of scaling affiliate channels.

Deep understanding of affiliate ecosystems and attribution tools.

Experience managing large-scale publisher partnerships.

Key Skills

Affiliate marketing and partnerships, performance marketing and ROI optimization, data analytics and attribution, negotiation and partner management, fraud detection, and cross-functional collaboratio

Ready to apply?

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Business Head - ETF (Exchange Traded Funds)

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Posted May 8, 2026

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology

About the Role: Paytm Money is looking for a dynamic and entrepreneurial General Manager – Business Head, ETF to lead and scale our Exchange Traded Funds business. This role will own the complete ETF charter including business strategy, product growth, customer acquisition, partnerships, monetization, and market expansion, with the objective of building Paytm Money into India’s leading ETF investment platform. This is a high-impact leadership role for someone who deeply understands capital markets, passive investing, brokerage ecosystems, and retail investor behavior, and can translate market opportunities into scalable business outcomes.

Key Responsibilities:

Business Ownership & Strategy

* Own the end-to-end P&L for the ETF business

* Define and execute Paytm Money’s ETF growth roadmap

* Identify opportunities across equity ETFs, thematic ETFs, sectoral ETFs, debt ETFs, commodity ETFs, and global ETFs

* Build long-term strategy for ETF adoption and passive investing growth

Growth & Customer Acquisition

* Drive ETF user acquisition, activation, and retention

* Build investor journeys for first-time ETF investors and active traders

* Design customer growth strategies across app, digital channels, and partnerships

* Improve ETF discovery, conversion, and repeat investment behavior

Product & Platform Development

* Partner with Product and Engineering teams to build best-in-class ETF investing experiences

* Enhance ETF search, comparison tools, SIP capabilities, basket investing, and portfolio insights

* Drive innovation around passive wealth creation products

Revenue & Monetization

* Develop monetization levers for ETF-led business growth

* Optimize trading activity, AUM growth, and customer lifetime value

* Build scalable cross-sell opportunities into broader wealth products

Partnerships & Ecosystem

* Build and manage relationships with: Asset Management Companies, Exchanges, Market infrastructure participants, Distribution partners.

* Market Intelligence: Track ETF market trends, competitor strategies, regulatory developments, and investor behavior shifts, Translate insights into actionable business initiatives.

* Leadership: Build and lead a high-performing ETF business team across business, analytics, growth, and partnerships

What We’re Looking For:

* Experience10–15+ years of experience in: Broking, Wealth-tech, Asset management, Capital markets, Investment platforms

Domain Expertise:

* Strong understanding of: ETFs and passive investing products, Retail broking business models, Trading ecosystem and exchange mechanics, Investor acquisition and monetization

Leadership Skills:

* Strong business ownership mindset

* P&L management experience

* Strategic thinking with execution excellence

* Cross-functional stakeholder management

Ready to apply?

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Business Head – Mutual Funds & NFO

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Posted May 8, 2026

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

About the Role: Paytm Money is looking for a strategic and growth-driven Business Head – Mutual Funds & NFO to lead one of the most critical charters within our wealth business. This role will own the complete Mutual Fund and New Fund Offer (NFO) business, including business strategy, product growth, partnerships, customer acquisition, revenue acceleration, platform innovation, and market expansion. The ideal leader will bring deep expertise in mutual fund distribution, passive and active investment products, investor behavior, AMC partnerships, and digital wealth ecosystems, while building a scalable business that democratizes investing for millions of Indians. This is not just a distribution leadership role. It is an opportunity to define the next phase of retail investing by building India’s most intelligent, accessible, and high-growth MF platform.

Key Responsibilities:

1. Business Ownership & P&L Leadership

* Own end-to-end P&L for the Mutual Funds and NFO business

* Define annual and long-term growth strategy

* Drive topline growth, profitability, customer expansion, and AUM scale

* Build category growth roadmap across: Equity Mutual Funds, Debt Funds, Hybrid Funds, Index Funds, ETFs, International Funds, Thematic / Sectoral Funds

2. NFO Strategy & Execution

* Lead the complete NFO business charter

* Identify high-potential fund launches and build GTM strategy

* Drive subscription volumes across marquee NFO launches

* Partner with AMCs for exclusive campaigns and launches

* Build strong investor education and conversion funnels around NFO participation

3. Growth & Customer Acquisition

* Drive MF investor acquisition at scale

* Improve SIP activation, repeat investment behavior, and retention

* Design high-conversion journeys for: First-time investors, Passive investors, Existing equity users cross-selling into MF

* Build lifecycle programs to improve customer stickiness

4. Product & Platform Innovation

* Partner closely with Product and Engineering to build category-leading investment experiences including: SIP innovation, Goal-based investing journeys, Fund recommendation engines, Portfolio insights, Smart asset allocation tools, Risk profiling frameworks & MF comparison and discovery experience

5. AMC & Ecosystem Partnerships

* Build and strengthen strategic relationships with: Leading Asset Management Companies, Registrar & Transfer Agents, Market infrastructure partners, Distribution ecosystem stakeholders, Drive commercial partnerships, co-marketing opportunities, and exclusive launches.

6. Analytics & Business Intelligence

* Own metrics across: AUM growth, SIP book expansion, Investor activation, NFO conversion, Redemption trends, Retention and cohort behavior

* Leverage analytics to build sharper acquisition and monetization strategies.

7. Market Intelligence & Competitive Strategy

* Track industry shifts across: Passive investing trends, Regulatory developments, Competitor product innovation, Investor behavior evolution

* Translate insights into business opportunities.

8. Team Leadership

* Build and lead high-performing teams across: Business, Partnerships, Growth, Category management, Analytics

* Create a culture of speed, ownership, and customer obsession.

What We’re Looking For:

* Experience - 12–18 years of experience in: Wealth-tech, Broking, Mutual fund distribution, Asset management& Consumer fintech

Domain Expertise:

* Deep understanding of: Mutual fund ecosystem, SIP and systematic investing behavior, NFO lifecycle and GTM, Distribution economics, Retail investor acquisition, Capital markets and investment products

Leadership Capabilities:

* Strong business ownership mindset

* P&L management

* Strategic thinking with execution excellence

* Cross-functional influence

* Data-driven decision making

Ready to apply?

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Head Analytics(GM/ AVP) , Paytm Money

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Mumbai, Maharashtra Posted May 6, 2026

About Us

Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion.

Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors.

Role Overview

We are looking for a strategic, business-oriented, and AI-forward Analytics Leader to drive data-led and AI-powered decision-making for Paytm Money across equities, mutual funds, and derivatives.

This role will define and lead the analytics vision across user growth, trading behavior, portfolio analytics, customer lifecycle, monetization, and product experience, while partnering closely with Product, Growth, Business, Risk, and Engineering teams to scale Paytm Money’s wealth platform.

The ideal candidate will bring deep expertise in financial markets, broking platforms, and investment products, along with strong experience in building scalable analytics functions. In addition, this leader should have worked intensively on AI-led modeling, predictive decision systems, AI adoption across analytics workflows, and data models designed for advanced analytics and machine learning use cases.

This is not just a reporting or dashboarding role. It is a leadership role focused on building a proactive, predictive, and AI-enabled analytics engine that helps the business make faster, sharper, and more scalable decisions.

Key Responsibilities

1. Analytics Strategy, AI Vision & Business Impact

· Define and own the analytics and decision intelligence roadmap aligned with Paytm Money’s growth, engagement, and revenue goals.

· Translate business problems across acquisition, activation, trading behavior, retention, and monetization into structured analytical and AI-led problem-solving frameworks.

· Drive a data-first and AI-enabled decision culture across Product, Growth, Business, Marketing, Risk, and Finance teams.

· Evolve the analytics function from descriptive reporting to predictive and prescriptive decision support.

· Identify high-impact use cases where AI/ML can materially improve conversion, retention, customer engagement, monetization, or operational efficiency.

2. Investment, Broking & Customer Lifecycle Analytics

· Analyze user behavior across equities, derivatives, and mutual funds journeys spanning onboarding, KYC, activation, investing/trading, engagement, and repeat usage.

· Build deep insights on trading frequency, portfolio behavior, SIP trends, churn, investor segmentation, and cohort performance.

· Develop analytical frameworks for order flow, liquidity behavior, margin usage, derivatives participation, and investment lifecycle progression.

· Use behavioral, transactional, and product data to identify customer patterns and opportunities for improved engagement, advisory, and cross-sell.

3. Growth, Funnel & Monetization Analytics

· Drive end-to-end funnel analytics across acquisition, onboarding, activation, engagement, and retention.

· Build and optimize core business models such as CAC, LTV, cohort retention, attribution, and profitability measurement.

· Identify and prioritize drop-offs across key journeys such as demat account opening, KYC completion, first trade, first SIP, and repeat investing.

· Support monetization strategy across brokerage, commissions, margin products, subscriptions, and cross-sell opportunities through data-led insights and experimentation.

4. AI-Driven Analytics, Predictive Modeling & Decision Systems

· Lead the development and application of advanced analytics and AI/ML models such as churn prediction, conversion propensity, trading propensity, LTV forecasting, cohort scoring, anomaly detection, and recommendation models.

· Drive the use of AI for proactive opportunity identification, risk signaling, growth optimization, and personalized user experiences.

· Work on AI-led decision systems that enable next-best-action recommendations, customer targeting, funnel prioritization, and personalization at scale.

· Ensure model outputs are translated into business actions, product interventions, and measurable outcomes rather than remaining isolated analytical exercises.

· Bring hands-on understanding of model adoption, performance tracking, and business trust in AI-driven outputs.

5. AI Adoption Across Analytics Workflows

· Drive adoption of AI-enabled analytics workflows across teams, including automated insight generation, intelligent reporting, decision-support tooling, and scalable self-serve analytics.

· Explore and enable use cases where GenAI and AI copilots can improve insight discovery, data interpretation, operational speed, and leadership reporting.

· Help business and product stakeholders consume advanced analytics outputs in a simple, actionable, and decision-friendly manner.

· Build organizational confidence in using AI not as a side capability, but as a core lever for better business execution.

6. Product, Experience & Personalization Analytics

· Partner with Product teams to improve user journeys, onboarding experiences, conversion funnels, and feature adoption.

· Provide insights to enhance UI/UX, customer segmentation, personalization, nudges, and recommendation engines.

· Support real-time and near-real-time analytics use cases that improve responsiveness of product and growth interventions.

· Collaborate with teams to identify where AI-led personalization and intelligent nudging can improve activation, retention, and monetization outcomes.

7. Experimentation, Measurement & Causal Learning

· Build and institutionalize robust experimentation frameworks including A/B testing, holdout design, cohort analysis, and incrementality measurement.

· Ensure that product, growth, and monetization decisions are backed by rigorous measurement and statistically sound evaluation.

· Create closed-loop learning systems where experiments, predictive models, and business actions continuously inform one another.

8. Data Modeling, Foundations & Analytical Readiness

· Partner with Data Engineering and platform teams to build robust data pipelines, warehousing, semantic layers, and reporting systems.

· Design data models that serve not only BI and reporting use cases, but also AI/ML, feature engineering, experimentation, and personalization use cases.

· Define reusable business metrics, event taxonomies, customer states, and analytical layers that improve consistency across dashboards, models, and decision systems.

· Ensure data accuracy, governance, traceability, and regulatory compliance, especially in a financial services environment.

9. Stakeholder Management & Team Leadership

· Act as a strategic thought partner to leadership by influencing decisions through data-backed and AI-informed recommendations.

· Collaborate closely across Growth, Product, Marketing, Risk, Finance, Data Engineering, and Data Science / ML teams.

· Build and lead a high-performing analytics organization comprising analysts, data scientists, BI engineers, and decisioning talent as needed.

· Mentor teams to raise the bar on problem structuring, business storytelling, technical rigor, and AI-first analytical thinking.

Key KRAs / Success Metrics

· Improvement in conversion rates across onboarding, KYC, activation, and trading / investing funnels

· Growth in active traders, active investors, AUM, and repeat participation

· Increase in trading frequency, engagement depth, and customer retention

· Improvement in CAC, LTV, ARPU, and overall unit economics

· Accuracy, adoption, and business impact of predictive models and AI-driven recommendations

· Faster and higher-quality decision-making across Product, Growth, and Business teams

· Increased adoption of self-serve, automated, and AI-enabled analytics across functions

· Stronger data foundations and analytical readiness for advanced modeling and personalization use cases

Qualifications & Experience

· 12–15+ years of experience in analytics, decision science, or data science, with significant exposure to fintech, broking, wealth-tech, or investment platforms

· Strong understanding of equities, derivatives (F&O), mutual funds, and digital investing / trading ecosystems

· Proven experience building and scaling analytics functions that drive measurable business impact

· Demonstrated experience in applying AI/ML techniques to solve business problems across growth, lifecycle, engagement, monetization, or risk

· Strong exposure to predictive modeling, experimentation, customer segmentation, personalization, and data-driven product decisioning

· Experience driving adoption of AI-led analytics in real business workflows, not just building isolated models

· Strong understanding of AI-led data modeling, feature design, event instrumentation, and analytical data foundations required for scalable model deployment

· Expertise in SQL, Python/R, BI tools (Tableau, Power BI), and modern data warehousing / transformation ecosystems

· Ability to work effectively across Product, Engineering, Business, and leadership teams, translating complex analysis into action

· MBA / Engineering / Statistics / Economics from a reputed institute; CFA or equivalent financial market understanding is a plus

Key Skills

· Financial markets, broking, and investment analytics

· Growth, funnel, and lifecycle analytics

· Predictive modeling, AI/ML, and decision systems

· AI adoption across analytics and business workflows

· Data modeling for BI, experimentation, and AI use cases

· Monetization, pricing, and unit economics analytics

· Product analytics, personalization, and recommendation thinking

· Business acumen and executive stakeholder influence

· Data storytelling, visualization, and structured problem solving

· Leadership, team building, and cross-functional execution

What Success Looks Like

· Building a best-in-class analytics and AI-powered decision engine for a digital wealth platform

· Driving measurable impact on user growth, engagement, retention, monetization, and customer experience

· Enabling Paytm Money to make faster, smarter, and more scalable data-backed decisions

· Embedding predictive and AI-led thinking into core business, product, and growth workflows

· Creating a durable competitive edge through analytics, intelligence, and AI-enabled personalization in the broking and wealth ecosystem

Why Join Us?

With 500M+ users and a massive distribution advantage, Paytm offers a unique opportunity to build and scale a high-impact analytics and decision intelligence function at the forefront of India’s digital investing ecosystem.

This role offers the chance to shape how Paytm Money uses data, AI, and customer intelligence to build the next generation of wealth products, user experiences, and growth engines.

Ready to apply?

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Accounting Operation- DM

Paytm · Noida, Uttar Pradesh

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Finance / Accounting Noida, Uttar Pradesh Posted May 6, 2026

Role Summary

We are hiring a finance professional for the Central Finance team to manage accounting operations and ensure timely audit closure. The role requires experience with the listed entities and the ability to work in a multi-entity environment.

Key Responsibilities

Handle end-to-end accounting and financial close activities

Prepare working files and month-end accounting entries in SAP

Ensure audits close within established timelines

Liaise with auditors and resolve audit queries

Eligibility Criteria

Experience in listed companies (mandatory)

Exposure to multi-entity organizations (preferred)

Should have working knowledge of IND AS

Skills Required

Advanced MS Excel skills

Good PowerPoint (PPT) skills

Good knowledge of SAP

Strong analytical and problem-solving ability

Good stakeholder management and communication skills

Qualification & Experience

CA Intermediate

[3-5] years of relevant experience

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Telco Sales MENA Markets

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Posted May 6, 2026

Job Title: Sales Manager - Telcom

Company: One97 Communications - Paytm

Location: Middle East Asia

About One97 Communications Ltd.

One97 Communications Ltd., headquartered in Noida, Uttar Pradesh, is a leading Indian

multinational technology company renowned for its flagship product, Paytm. Beyond its

consumer-facing services, One97 is a trailblazer in providing tailored digital platforms for

telecom operators and enterprises across South East Asia, Africa, and Latin America. The

company's B2B solutions encompass a wide array of offerings, including:

● Digital Platforms: Facilitating creation and managing digital services to drive revenue

growth.

● Network Products: Enabling seamless delivery of digital services to end-users.

● Direct carrier billing and Master Aggregator platforms

One97's global presence spans across the Middle East, Southeast Asia, Africa and Latin

America. The company continues to innovate and expand its footprint.

About the team:

This team involves in making a difference. A lot of contingency and new challenges are

encouraged within the team to do stuff that is meaningful for those we serve. We are successful,

and our successes are rooted in our people's collective energy and unwavering focus on the

employees, and that's how it will always be change management in Social Media.

Why join us?

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered

users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to

democratize credit for deserving consumers & merchants – and we are committed to it. India’s

largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

About the Role:

We are seeking highly motivated and experienced Account Managers to join our dynamic team

and drive sales and revenue growth within key Telco accounts across Africa. These roles will be

pivotal in building and maintaining strong client relationships, expanding our product portfolio,

and achieving ambitious sales targets. You will be responsible for managing accounts in African

territories.

This role demands a strategic thinker with a proven track record in the telecommunications

sector, specifically within Value Added Services (VAS) and Core Telco products.

Job Analysis & Responsibilities:

* Account Management & Relationship Building:

* Serve as the primary point of contact for assigned MNC Telco accounts.

* Develop and maintain strong, long-lasting client relationships.

* Understand client needs and provide tailored solutions.

Sales & Revenue Growth:

* Achieve and exceed annual, quarterly, and monthly sales targets.

* Identify and pursue new business opportunities within existing accounts.

* Drive revenue growth through strategic account management and sales initiatives.

Product Portfolio Expansion:

* Cross-sell and up-sell One97's comprehensive product portfolio, including VAS and Core

Telco solutions.

* Develop and present compelling proposals and presentations to clients.

Business Development & Strategy:

* Develop and implement strategic account plans to achieve organizational goals.

* Identify and analyze market trends and competitor activities.

* Create and deliver presentations for new business development initiatives.

Campaign Execution & Measurement:

* Establish and implement effective campaign execution processes.

* Monitor and measure campaign performance against key performance indicators (KPIs).

* Provide regular reports and analysis to management.

Financial Management:

* Monitor and manage account collections, ensuring timely recovery of outstanding

payments.

* Maintain accurate records of sales and financial activities.

Travel:

* Extensive travel across assigned African territories to meet clients and drive revenue.

Qualifications & Skills:

Essential:

* Proven experience in corporate sales, specifically within the telecommunications industry

(VAS & Core Telco products).

* Strong account management and key account management skills.

* Excellent sales and marketing skills.

* Proven ability to achieve and exceed sales targets.

* Strong business development acumen.

* Excellent presentation and communication skills.

* Ability to travel extensively.

* Strong financial management skills.

Preferred:

* Bachelor's degree in business administration, marketing, or a related field.

* Good Communication skills in English, French (Preferable)

* 4+ years of experience with IVR Marketing, Business Development.

* Familiarity with the african telco market.

Category: Corporate Sales

Role: Telco Sales Manager

Key Skills: Account Management, Sales & Marketing, Business Development, VAS IVR

Marketing, Value Added Services, Key Accounts Management

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Manager- Internal Audit

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Posted May 6, 2026

About Team : The Internal Audit team at Paytm comprises seasoned professionals with diverse skill sets and experience across different verticals like process audits, technology audits and forensics. The team focuses on implementing the approved audit plan, ensuring delivery of qualitative audits and conducting internal / special reviews while leveraging technology & data analytics and gauging key risks across business processes.

Manager – Internal Audit (6–8 Years Exp)

Role Overview: As a Manager, you will be a strategic partner to the business. You won’t just be "checking boxes"; you’ll be designing the audit framework for complex ecosystems like UPI, Wallet, and Lending. You will lead teams and interface directly with Senior Leadership.

Key Responsibilities

●Audit Strategy: Develop and execute an annual risk-based audit plan focusing on high-growth business units.

● Stakeholder Management: Act as the primary point of contact for Department Heads, explaining risk implications and negotiating remediation plans.

● Process Engineering: Evaluate the effectiveness of internal controls ($ICFR$) and suggest automation to move from manual testing to continuous monitoring.

● Team Leadership: Supervise 2–3 Assistant Managers/Associates, ensuring high-quality documentation and timely delivery.

● Special Investigations: Lead / perform ad-hoc investigations or fraud risk assessments as required.

● Execution: Conduct end-to-end audits of various functions (Operations, HR, Finance, or Tech) under the guidance of the Manager.

● Fieldwork: Perform walkthroughs, test of effectiveness ($ToE$), and document audit findings with clear "Cause and Effect" analysis.

● Cross-Functional Collaboration: Partner with cross-functional teams to gain deep insights into critical business processes, identify risks, and evaluate the adequacy of internal controls.

● Reporting: Prepare and present clear, concise audit reports to senior management and stakeholders, providing actionable recommendations to enhance controls and mitigate risks.

● Follow-ups: Track the implementation of previous audit recommendations to ensure business units are actually improving.

Qualifications & Skills

● Experience: 6–8 years in Internal Audit, preferably from a Big 4 and / or Fintech / Banking / NBFC environment.

● Education: Chartered Accountant (CA) / MBA. Certifications like CIA, CISA will be an added advantage.

● Technical Edge: Deep understanding of RBI, NPCI guidelines, and digital payment workflows. Strong understanding of internal audit frameworks and risk assessment.

● Proficiency in MS Excel (Advanced), Powerpoint and familiarity with SAP.

● Data Analytics: Use tools like SQL, ACL, or PowerBI to pull and analyze large datasets to identify anomalies (moving away from sample-based testing). This will be an added advantage Soft Skills:

● Exceptional attention to detail and a high degree of accuracy.

● Excellent communication skills to effectively present complex findings to a non-technical audience

.● Strong problem-solving abilities and the capacity to work both independently and collaboratively.

● Ability to manage multiple priorities effectively and deliver high-quality results in fast-paced, high-pressure environments.

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IT Audit-Manager

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Posted May 5, 2026

About Team : The Internal Audit team at Paytm comprises seasoned professionals with diverse skill sets and experience across different verticals like process audits, technology audits and forensics. The team focuses on implementing the approved audit plan, ensuring delivery of qualitative audits and conducting internal / special reviews while leveraging technology & data analytics and gauging key risks across business processes.

About the role: We are seeking an experienced and detail-oriented Information Security and Cloud Security Auditor to join our team. The ideal candidate will have 10+ years of expertise in data security and privacy control implementation, internal auditing, third-party risk management, cybersecurity governance, and cloud security (banking sector preferred). This role will be responsible for conducting comprehensive IT and cloud security audits, ensuring compliance with regulatory requirements, and enhancing our information security policies and procedures.

Key Responsibilities:

Conduct IT and cloud security audits across various domains, including IT General Controls, Information Security Controls, Cloud Security, Network Security, Vulnerability Management, and Vendor Risk Assessments.

Assess compliance with relevant laws, regulations, and organizational policies, providing expertise in regulatory requirements specific to both on-premises and cloud environments.

Develop and enhance information security and cloud security policies and procedures in alignment with industry best practices. Maintain thorough documentation of audit findings, risk assessments, and security measures for internal and external reporting. Validate ITGC, cloud security, and application-specific controls, and manage audit documentation including risk assessments, working papers, audit program checklists, and evidence gathering.

Follow up on and ensure closure of non-compliance issues identified during audits.

Manage and oversee third-party risk assessments and audits, ensuring robust security controls are in place for both traditional and cloud-based service providers.

Lead and participate in the development, migration, and implementation of security controls and policies for network and cloud security solutions.

Conduct risk-based security assessments on internal, vendor, and third-party hosted environments, focusing on both traditional IT and cloud infrastructure.

Participate in product and vendor selection processes, contributing to the implementation and integration of new technologies, with a strong emphasis on cloud security solutions.

Experience/ Skills Required:

Minimum 10 years of experience in information security and auditing, with a strong background in cloud security, and the banking and IT industries.

Proven experience in performing IT and cloud security audits, validating ITGC and cloud application controls, and maintaining audit documentation.

Hands-on experience with vulnerability management, risk management, physical security, identity & access management, encryption, secure development, incident management, security infrastructure, and security policy for both on-premises and cloud environments.

Expertise in third-party risk management, regulatory compliance, and managing IT audit findings in both traditional and cloud-based contexts.

Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to manage multiple projects and meet deadlines.

Strong understanding of IT, cloud security, and cybersecurity frameworks and standards.

Proficiency in using various security assessment tools and technologies, particularly those related to cloud environments.

Strong analytical and problem-solving skills.

Excellent communication and documentation skills.

Ability to manage multiple projects and meet deadlines.

Strong understanding of IT, cloud security, and cybersecurity frameworks and standards.

Proficiency in using various security assessment tools and technologies, particularly those related to cloud environments.

Qualifications & Certification:

Bachelor's / Master’s degree in Information Technology, Cyber Security, or a related field. ISO 27001/CNSS/CCNA/CISA/CISM/CISSP Preferred Detailed knowledge of security tools, PCI-DSS, general ITGC controls, compliance testing, cloud risk assessment, GRC, OWASP, MITRE ATT&CK, change management, and policies and procedures.

Proficiency in various security and cloud technologies including AWS, Azure, Google Cloud Platform, Palo Alto, Fortinet & Checkpoint Firewalls, SOAR (Cortex), Force scout

Why join us

1. A collaborative output driven program that brings cohesiveness across businesses through technology

2. Improve the average revenue per use by increasing the cross-sell opportunities

3. A solid 360 feedback from your peer teams on your support of their goals

4. Respect, that is earned, not demanded from your peers and manager

Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

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Business Analyst- Deputy Manager

Paytm · Noida, Uttar Pradesh

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Data / Analytics Noida, Uttar Pradesh Posted May 5, 2026

About Paytm

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

About the Team

Paytm is building a full stack AI platform focused 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

We are looking for a Business Analyst in the Business Management team who can

independently drive insights that influence business performance and product decisions. This

role requires strong analytical depth, a clear business mindset, and the ability to understand

customer behavior across the product lifecycle.

You will work closely with Product, Business, Growth, and Leadership teams to convert data into

actionable intelligence, going beyond dashboards to answer why things are happening and what

should be don

Key Responsibilities

1. Own and drive business and product insights across merchant acquisition, activation

engagement, retention, winback and monetization.

2. Partner with Product and Business teams to define, track, and evolve key metrics and

north-star KPIs.

3. Perform deep-dive analyses on merchant behavior, funnels, cohorts, and feature usage

to identify growth and efficiency levers.

4. Build and maintain dashboards, MIS, and self-serve reports that serve as a reliable

source of truth.

5. Support experimentation and A/B testing by defining success metrics and analyzing

outcomes.

6. Proactively surface risks, anomalies, and opportunities using data-backed narratives.

7. Collaborate with Data Engineering and Product teams to improve data quality, tracking,

and analytical readiness.

8. Translate complex analysis into clear, actionable insights for non-technical stakeholders.

Ideal Candidate Profile

1. Experience in Business Intelligence / Analytics, preferably in product-led or consumer

internet / fintech organizations.

2. Strong hands-on experience with SQL (mandatory); ability to work with large and

complex datasets.

3. Experience with BI tools such as Tableau, Power BI, Looker, or similar.

4. Solid understanding of product and business metrics, funnels, cohorts, and lifecycle

analytics.

5. Proven ability to independently structure ambiguous problems and deliver end-to-end

insights.

6. Strong communication skills and comfort working with senior stakeholders.

Good to Have

1. Working knowledge of Python / R for advanced analysis.

2. Exposure to A/B testing and experimentation frameworks.

3. Domain exposure to AI Agents or FinTech, Payments, Investments, Merchant Platforms.

What We’re Looking For

1. Strong IC mindset with high ownership and accountability.

2. Business-first thinking with a strong product understanding.

3. Comfortable working in fast-paced, ambiguous environments.

4. Focus on impact, not just reporting.

Why join us:

Work with a high-performing and passionate product, design, and engineering team. Shape the future of credit for millions of users. Build at scale in one of India’s most dynamic and regulated spaces. Flexible and inclusive work environment with fast decision-making and ownership.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

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Client Onboarding Director

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Gurugram, Haryana Posted May 5, 2026

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 resolve critical issues.

Maintain clear documentation of risks, decisions, open items, dependencies, and closure actions.

Process, Playbooks, and Scalability

Build standard onboarding playbooks, project templates, go live checklists, training material, and implementation SOPs.

Define delivery metrics such as time to onboard, milestone adherence, integration success rate, client readiness, go live success, and early adoption.

Create dashboards and review cadences to track implementation health across enterprise clients.

Improve onboarding processes continuously through post implementation reviews and client feedback.

Build scalable delivery systems that reduce dependency on individuals and improve implementation quality at scale.

Team Leadership and Cross Functional Collaboration

Lead and mentor Client Onboarding Managers across enterprise delivery workstreams.

Set clear goals, delivery standards, review mechanisms, and quality expectations for the onboarding team.

Work closely with Enterprise GTM, Pre Sales, Product, Engineering, Security, Legal, Finance, and Support teams.

Ensure clean handoffs across pre sales, sales, onboarding, support, and account management.

Build team capability in client communication, technical understanding, project management, and issue resolution.

Ideal Candidate Profile

8 to 10 years of experience in implementation delivery, customer onboarding, program management, customer success, solutions delivery, or enterprise technology roles.

Experience leading implementation or onboarding teams for SaaS, fintech, CRM, marketing technology, AI, automation, cloud, data platforms, or enterprise software products.

Strong understanding of APIs, system integrations, data flows, enterprise architecture, CRM systems, and deployment lifecycle.

Proven ability to manage enterprise client stakeholders and drive multi stakeholder implementation programs.

Strong program management skills with ability to manage multiple deployments, timelines, dependencies, and escalations.

Experience building delivery playbooks, SOPs, dashboards, review cadences, and implementation governance systems.

Strong communication and problem solving skills with ability to work across client, product, engineering, sales, and business teams.

High ownership mindset with comfort operating in fast moving and ambiguous environments.

Interest in AI agents, LLMs, automation, analytics, and enterprise digital transformation.

Skills and Qualifications

Strong implementation delivery and program management skills for enterprise technology products.

Good understanding of APIs, data integrations, CRM systems, databases, cloud platforms, and enterprise workflows.

Ability to build project plans, dependency trackers, risk logs, go live checklists, SOPs, and executive status updates.

Strong client communication skills with ability to manage senior stakeholders and escalations.

Strong team leadership skills with ability to manage Client Onboarding Managers and drive delivery discipline.

Strong analytical and problem solving skills with ability to identify root causes and drive corrective actions.

Comfort with tools such as Google Sheets, Slides, project management tools, documentation platforms, CRM tools, and AI enabled productivity tools.

Bachelor’s degree in Engineering, Business, Computer Science, or a related field. MBA or technical postgraduate degree is a plus.

Educational Qualification

Must have: Bachelor's degree from Tier 1 institutions such as IITs, SRCC, St. Stephen’s, etc.

Good to have: MBA from Tier 1 institutions such as IIM A, B, C or ISB

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Sales Operations Manager, Inference and Agentic AI

Paytm · Noida, Uttar Pradesh

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Sales / BD Noida, Uttar Pradesh Posted Apr 29, 2026

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.

Role Overview

Paytm is looking to hire Sales Operations Managers to drive financial and operational rigor across its AI Inference and Agentic AI business.

This role sits at the core of sales operations, working closely with sales, business management, and central finance teams to ensure accurate billing, collections, and revenue recognition.

The role involves owning the full order to cash lifecycle, strengthening revenue assurance, and managing procurement and vendor operations for the AI charter.

The candidate will play a key role in building scalable, audit ready systems that improve financial control, reduce leakage, and enable efficient business growth.

Key Responsibilities

Order to Cash Operations

Own end to end invoicing for enterprise AI deals from contract trigger to invoice generation, dispatch, and acknowledgement.

Maintain a central invoicing tracker covering deal terms, billing milestones, invoice status, and collections.

Coordinate with central finance and accounts receivable teams to ensure GST compliant, PO aligned, and accurately booked invoices.

Drive collections follow ups with enterprise clients in partnership with business teams and escalate overdue receivables.

Manage billing adjustments including credit notes, disputes, and corrections.

Revenue Assurance and Financial Control

Reconcile contract terms, invoicing, collections, and revenue recognition on a monthly basis.

Identify and flag revenue leakage across under billing, missed milestones, or untracked usage.

Own the monthly revenue close cycle for the AI business in coordination with central finance teams.

Maintain audit ready documentation and transaction trails to support compliance and reporting requirements.

Procurement and Vendor Operations

Manage end to end procurement workflows including vendor onboarding, purchase orders, GRN processing, and invoice approvals.

Track spend against approved budgets and highlight deviations to finance and business stakeholders.

Coordinate with procurement, legal, and treasury teams for vendor contracts, renewals, and payment cycles.

Maintain vendor master data including contract terms, SLAs, and payment schedules.

Accounting Liaison and Compliance

Act as the single point of contact for accounting, tax, and audit teams for all AI business transactions.

Ensure accurate mapping of transactions to GL codes, cost centers, and legal entities.

Support internal and external audits with required data, documentation, and clarifications.

Track input tax credits and ensure compliance with applicable tax regulations.

Process Improvement and Reporting

Build dashboards to track invoicing timelines, collections ageing, vendor payments, and revenue leakage.

Drive standardization and documentation of SOPs across finance operations workflows.

Identify opportunities to automate processes and improve operational efficiency at scale.

Ideal Candidate Profile

2 to 4 years of experience in finance operations, revenue operations, sales operations, or business finance roles.

Strong understanding of order to cash processes, invoicing, collections, and revenue recognition.

Experience working with cross functional teams including sales, finance, procurement, and legal.

High attention to detail with strong ownership of financial accuracy and compliance.

Ability to manage multiple workflows and drive execution in a fast paced environment.

Strong problem solving skills with ability to identify gaps and improve processes.

Familiarity with enterprise or SaaS business models is a plus.

Skills and Qualifications

Strong understanding of financial operations including invoicing, collections, and reconciliation.

Working knowledge of accounting concepts, GST, and compliance requirements.

Strong analytical skills with ability to track metrics and identify issues.

Proficiency in Excel or Google Sheets for tracking and reconciliation.

Experience with ERP systems and finance tools is preferred.

Strong communication skills for stakeholder coordination and issue resolution.

Bachelor’s degree in Commerce, Finance, Business, or related field, CA or MBA is a plus.

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Enterprise GTM Lead, Inference and Agentic AI

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Posted Apr 29, 2026

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 an Enterprise GTM Lead to own the go to market charter for Paytm’s AI Inference and Agentic AI products across enterprise clients.

This is a managerial role that will lead business managers and client onboarding managers, and will work closely with enterprise sales teams to drive pipeline, deal conversion, onboarding, and client success.

The role sits at the center of Paytm’s enterprise AI charter and involves shaping GTM strategy, enabling sales teams, supporting client pitches, structuring commercials, and ensuring strong post sale execution.

The candidate will be responsible for building a repeatable enterprise sales motion for Paytm AI agents, including Pi Commerce and future AI products.

The role requires strong commercial judgment, enterprise stakeholder management, execution discipline, and ability to work across sales, product, technology, finance, and marketing teams.

Key Responsibilities

Enterprise GTM Strategy and Business Ownership

Own the enterprise GTM strategy for Paytm AI agents across existing and new enterprise clients.

Build and execute sales enablement, pipeline generation, deal conversion, onboarding, and account expansion plans.

Work with leadership to define target segments, priority accounts, industry plays, and product positioning.

Translate business goals into clear GTM plans, sales motions, commercial models, and execution cadences.

Track the full enterprise funnel across sales channels and drive corrective action where performance deviates from plan.

Sales Enablement and Enterprise Sales Partnership

Work closely with Paytm’s enterprise sales teams to equip them with product knowledge, pitch material, pricing frameworks, commercials, and objection handling support.

Accompany sales teams in key client pitches, discovery discussions, solutioning sessions, and commercial negotiations.

Build reusable sales assets including pitch decks, case studies, proposals, demo scripts, pricing notes, and competitive positioning.

Conduct regular training sessions for enterprise sales teams on Pi Commerce and other Paytm AI agents.

Ensure enterprise sales teams are consistently updated on new product launches, feature upgrades, pricing changes, and GTM priorities.

Commercial Strategy, Pricing, and Deal Support

Own pricing strategy and commercial structuring for enterprise AI agent deployments in partnership with business, finance, and sales teams.

Support custom pricing, proposal creation, margin analysis, and negotiation strategy for strategic enterprise deals.

Drive enterprise level invoicing discipline in coordination with finance operations and central finance teams.

Support vendor negotiations and third party commercial discussions wherever required for enterprise deployments.

Ensure deal structures are commercially sound, operationally feasible, and aligned with Paytm’s AI business objectives.

Pipeline Generation and B2B Marketing

Drive enterprise pipeline generation initiatives across industry events, account based outreach, webinars, client workshops, ecosystem partnerships, and targeted campaigns.

Partner with sales and marketing teams to create strong B2B marketing programs for Paytm AI agents.

Build client engagement programs to nurture warm accounts, enrich leads, and improve conversion from interest to qualified opportunities.

Identify high potential enterprise use cases and convert them into focused GTM plays by industry and function.

Track campaign and pipeline performance, and improve channel productivity through structured reviews.

Product Feedback and Client Success

Capture structured feedback from clients and enterprise sales teams on product capabilities, pricing, integrations, and adoption barriers.

Work with product and technology teams to convert market feedback into product roadmap inputs and feature improvements.

Ensure major product upgrades, launches, and new capabilities are communicated clearly to clients and sales teams.

Work with client onboarding managers to ensure smooth deployment, adoption, and early value realization.

Support account expansion by identifying new use cases, cross sell opportunities, and adoption gaps within existing clients.

Team Leadership and Governance

Lead and mentor business managers and client onboarding managers across enterprise GTM and deployment workstreams.

Set clear goals, review cadences, dashboards, and operating rhythms for the enterprise AI GTM charter.

Monitor sales funnel performance, onboarding progress, revenue milestones, invoicing status, and client satisfaction.

Conduct root cause analysis for pipeline gaps, delayed conversions, onboarding delays, or revenue deviations.

Build scalable operating processes, playbooks, and governance mechanisms to make the enterprise GTM engine repeatable.

Ideal Candidate Profile

4 to 6 years of experience across enterprise sales strategy, GTM, business management, consulting, revenue operations, or enterprise SaaS roles.

Strong experience working with enterprise sales teams and driving B2B GTM for technology, SaaS, fintech, AI, or automation products.

Strong commercial understanding, including pricing, deal structuring, revenue tracking, invoicing, and vendor negotiations.

Experience managing teams or leading cross functional workstreams across sales, product, finance, onboarding, and marketing.

Ability to operate in client facing situations, support senior level pitches, and influence enterprise decision makers.

Strong analytical and execution orientation with ability to track funnels, identify deviations, and drive corrective action.

Strong communication and executive presence, with ability to convert product capabilities into simple business value propositions.

High ownership mindset and comfort operating in a fast building environment.

Interest in AI agents, enterprise automation, and digital transformation.

Skills and Qualifications

Strong enterprise GTM, sales enablement, and business management skills.

Ability to build sales playbooks, pricing frameworks, pitch material, proposals, and GTM operating cadences.

Strong understanding of enterprise sales funnels, pipeline management, deal conversion, account expansion, and client onboarding.

Strong commercial skills across pricing, negotiation support, margin thinking, invoicing, and vendor management.

Strong stakeholder management skills across sales, product, engineering, finance, marketing, and client teams.

Analytical comfort with dashboards, funnel metrics, revenue tracking, and performance reviews.

Proficiency in Google Sheets, Slides, CRM tools, and AI enabled productivity tools.

Bachelor’s degree from a strong institution, MBA from a top tier institution is a plus.

Educational Qualification

Must have: Bachelor's degree from Tier 1 institutions such as IITs, SRCC, St. Stephen’s, etc.

Good to have: MBA from Tier 1 institutions such as IIM A, B, C or ISB.

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Pre-sales Manager, Inference and Agentic AI

Paytm · Noida, Uttar Pradesh

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Solutions Engineering Noida, Uttar Pradesh Posted Apr 29, 2026

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 Pre Sales Managers to support technical pre-sales and solutioning for Paytm’s AI Inference and Agentic AI products across enterprise clients.

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.

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.

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.

The role requires strong technical understanding, client facing communication, solutioning ability, and interest in AI agents, enterprise systems, integrations, and automation use cases.

Key Responsibilities

Client Discovery and Requirement Understanding Support discovery sessions with enterprise clients to understand business goals, current systems, workflows, data sources, and automation needs.

Capture client requirements and translate them into clear use cases, solution notes, and implementation inputs.

Identify integration needs, data dependencies, technical constraints, and feasibility considerations.

Work with sales teams to shape client specific narratives and product positioning.

Document client requirements clearly for internal product, engineering, onboarding, and business teams.

Technical Pre Sales and Client SupportSupport enterprise sales teams in client meetings by answering product, technical, integration, data, and architecture related queries.

Explain Paytm AI product capabilities, workflows, deployment approach, data requirements, and integration models in simple business language.

Participate in client workshops, solutioning discussions, and technical review meetings.

Help clients understand expected impact, effort, timelines, dependencies, and success metrics.

Support the Pre Sales Lead in preparing for CXO and senior stakeholder meetings.

Demos, POCs, and Solution Prototypes

Prepare and deliver tailored product demos for enterprise clients based on use case, industry, and client needs.

Work with product and engineering teams to configure demo environments, prototypes, and POC setups.

Support definition of POC scope, success criteria, data requirements, timelines, and evaluation metrics.

Track POC progress, capture feedback, and coordinate issue resolution with internal teams.

Convert demo and POC learnings into sharper solution notes and product feedback.

Proposal and Sales Enablement S

upportCreate solution notes, integration flows, demo scripts, technical FAQs, and proposal inputs for enterprise opportunities.

Support responses to RFPs, client questionnaires, security reviews, and technical due diligence requests.

Build reusable pre sales assets such as use case libraries, objection handling notes, demo walkthroughs, and client facing FAQs.

Help train enterprise sales teams on product capabilities, technical basics, integration models, and demo narratives.

Ensure consistent and accurate communication of Paytm AI capabilities across client conversations.

Product Feedback and Cross Functional CoordinationCapture structured feedback from clients on product capabilities, integrations, usability, reporting, and adoption barriers.

Work with product and engineering teams to convert recurring client asks into roadmap inputs and solution improvements.

Coordinate with client onboarding teams to ensure smooth handoff from pre sales to implementation.

Collaborate with business, sales, product, engineering, security, legal, and onboarding teams to close open requirements.

Maintain a clear tracker of open client asks, demo feedback, POC progress, and solutioning dependencies.

Ideal Candidate Profile

3 to 6 years of experience in pre sales, solution consulting, solutions engineering, product consulting, implementation consulting, customer success, or enterprise technology roles.

Experience working with enterprise clients in SaaS, AI, automation, CRM, marketing technology, cloud, data platforms, fintech, or enterprise software.

Good understanding of APIs, system integrations, data flows, enterprise applications, cloud platforms, and product implementation cycles.

Ability to understand client business problems and translate them into clear solution approaches.

Strong client facing communication skills with comfort in both technical and business discussions.

Experience supporting demos, POCs, proposals, RFPs, client questionnaires, or technical workshops.

Ability to work closely with sales, product, engineering, security, legal, and onboarding teams.

High ownership mindset with ability to operate in fast moving and ambiguous environments.

Interest in AI agents, LLMs, automation, analytics, and enterprise digital transformation.

Skills and Qualifications

Strong solutioning and technical pre sales skills for enterprise technology products.

Good understanding of APIs, databases, CRM systems, data pipelines, cloud platforms, and enterprise integrations.

Ability to create solution notes, integration flows, POC plans, demo scripts, and technical proposal inputs.

Strong communication and presentation skills for client workshops and technical discussions.

Ability to explain AI and automation concepts in simple business language.

Strong problem solving skills with ability to structure ambiguous client requirements.

Comfort with tools such as Google Slides, Google Sheets, diagramming tools, CRM tools, and AI enabled productivity tools.

Bachelor’s degree in Engineering, Computer Science, Business, or a related field. MBA or technical postgraduate degree is a plus.

Educational Qualification

Must have: Bachelor's degree from Tier 1 institutions such as IITs, SRCC, St. Stephen’s, etc.

Good to have: MBA from Tier 1 institutions such as IIM A, B, C or ISB.

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Client Onboarding Director , Inference and Agentic AI

Paytm · Noida, Uttar Pradesh

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Uncategorized Noida, Uttar Pradesh Gurugram, Haryana Posted Apr 29, 2026

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

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 resolve critical issues.

Maintain clear documentation of risks, decisions, open items, dependencies, and closure actions.

Process, Playbooks, and Scalability

Build standard onboarding playbooks, project templates, go live checklists, training material, and implementation SOPs.

Define delivery metrics such as time to onboard, milestone adherence, integration success rate, client readiness, go live success, and early adoption.

Create dashboards and review cadences to track implementation health across enterprise clients.

Improve onboarding processes continuously through post implementation reviews and client feedback.

Build scalable delivery systems that reduce dependency on individuals and improve implementation quality at scale.

Team Leadership and Cross Functional Collaboration