Paytm

HQ
New Delhi
Total Offices: 7
10,000 Total Employees
Year Founded: 2010

Paytm Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Provides a pension

Offers childcare benefits

Offers generous parental leave

Offers performance bonuses

Offers employee discounts

Provides a company car

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides bereavement leave

Provides paid sick days

Offers unpaid extended leave

Offers an Employee Assistance Program (EAP)

Career Growth + Development

Offers apprenticeship programs

Recently posted jobs

5 Days AgoSaved
In-Office
Mumbai, Maharashtra, IND
Fintech
Lead advertising sales for Paytm Ads across FMCG, consumer internet, and gaming clients. Own ad revenue metrics, develop client relationships, present solutions to senior stakeholders, build media brief pipelines, create customized pitches, and coordinate campaign delivery and optimization. The role also drives cross-functional advertising initiatives and provides product feedback to improve campaign performance and customer experience.
6 Days AgoSaved
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Fintech
Own end-to-end growth campaigns for Paytm Postpaid across in-app, push, SMS, and email channels. Drive awareness, activation, usage, retention, and monetization through segmentation, experimentation, A/B testing, funnel analysis, and CRM/CLM execution. Partner with product and business teams to improve user journeys and reduce application friction. Use SQL and analytics tools to monitor campaign performance, identify growth opportunities, and translate insights into measurable actions.
6 Days AgoSaved
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Fintech
Own consumer app growth and monetization, driving ARPU, engagement, conversion, category adoption, and ROI. Develop traffic allocation and cross-sell strategies, partner with Product and Data Science on next-best-action models, run experimentation, establish growth operations processes, build performance dashboards, and lead business reviews. Manage referral initiatives and influence cross-functional stakeholders across Product, Finance, Data Science, Marketing, and Operations.