About PhonePe Limited:
Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
Culture:
At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
PhonePe's Data Platform powers India's largest consumer payments app at national scale—managing petabyte-scale infrastructure, batch/real-time pipelines, and developer tooling entirely on-premise. You'll build the core data infrastructure, tools, and internal products that enable hundreds of engineers, analysts, data scientists, and business teams to move faster.
What You'll Do:- Own product strategy, specs, and roadmaps for data platform components, APIs, and developer tools
- Synthesize requirements from business/product teams and translate them into system APIs, developer interfaces, and platform capabilities
- Work with architects and engineering leads to balance reliability, performance, technical debt, and new features
- Design solutions for data quality, governance, cataloging, and pipeline efficiency at petabyte scale
- Define and track platform health metrics: latency, query performance, uptime, adoption, resource efficiency
- Product Management Experience
- 1-3 year as PM/APM with product ownership, OR
- 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research)
- Technical Stack Depth
- Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses
- Advanced SQL (query optimization, not just SELECT statements)
- Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, or Airflow/DBT/Kafka/Trino
- Understands how data systems work end-to-end (not just BI layer)
- Problem-First Thinking
- Asks clarifying questions before solutions (WHO, WHAT, WHEN, WHY, HOW)
- Articulates problems → solutions → outcomes (not feature lists)
- Synthesizes requirements from diverse stakeholders into clear product specs
- Structured Approach
- Breaks down ambiguous problems systematically
- States assumptions explicitly and validates them
- Thinks in MVP phases and iterations
- Technical Communication
- Holds technical discussions with engineers/architects
- Translates business needs into system specs, APIs, and developer interfaces
- Writes clear PRDs, specs, and documentation
- TB/PB-scale data systems experience
- On-prem stack: Hive, Spark, HDFS, Hadoop, Impala (cloud experience acceptable if fundamentals strong)
- Built internal developer tools, APIs, or self-service platforms
- Data governance: cataloging, lineage, access controls, metadata management, observability
- AI-native workflow: Active user of ChatGPT/Claude/GitHub Copilot; bonus for GenAI features (RAG, LLM apps)
- High-potential signals: Published work, side projects, led cross-functional teams
- Unmatched scale: Petabyte-scale data infrastructure, real-time pipelines at national scale
- Open-source stack: Massive on-premise deployments (Hive, Spark, HDFS, Hadoop)
- High impact: Enable every engineering, analytics, and business team to move faster
- Ownership + mentorship: Core platform modules with structured career growth
PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
- Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
- Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
- Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
- Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
- Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
- Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, please fill out this form.
Read more about PhonePe on our blog.
Life at PhonePe
PhonePe in the news
Skills Required
- 1-3 years as PM/APM with product ownership OR 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research)
- Deep understanding of ETL/ELT pipelines, data warehousing, data lakes/lakehouses
- Advanced SQL (query optimization)
- Hands-on with one of: Hive, Spark, Hadoop, HDFS, Snowflake, Databricks, BigQuery, Airflow, DBT, Kafka, Trino
- End-to-end understanding of data systems (beyond BI layer)
- Problem-first thinking: clarify WHO/WHAT/WHEN/WHY/HOW and map problems to outcomes
- Structured approach: break down ambiguity, state and validate assumptions, think in MVP phases
- Technical communication: lead technical discussions, translate business needs into system specs/APIs, write clear PRDs and documentation
- Experience with TB/PB-scale data systems
- On-premise stack experience (Hive, Spark, HDFS, Hadoop, Impala) or strong cloud fundamentals
- Built internal developer tools, APIs, or self-service platforms
- Data governance experience: cataloging, lineage, access controls, metadata management, observability
- AI/GenAI familiarity (ChatGPT/Claude/Copilot, RAG, LLM apps)
- High-potential signals: published work, side projects, led cross-functional teams
What We Do
PhonePe was founded in December 2015 and has emerged as India’s largest payments app, enabling digital inclusion for consumers and merchants alike. With 48 crore (480 Million) registered users, one in four Indians are now on PhonePe. The company has also successfully digitized 3.6 crore (36 Million) offline merchants spread across Tier 2,3,4 and beyond, covering 99% of the postal codes across India. PhonePe is also the leader in Bharat Bill Pay System (BBPS), processing over 45% of the transactions on the BBPS platform. PhonePe forayed into financial services in 2017, providing users with safe and convenient investing options on its platform. Since then, the company has introduced several Mutual Funds and Insurance products that offer every Indian an equal opportunity to unlock the flow of money and access to services. PhonePe was recently recognized as the Most Trusted Brand for Digital Payments as per the Brand Trust Report 2023 by Trust Research Advisory (TRA).
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