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Product Manager : Data Platform

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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!

About the Role:

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: 

Must Haves:

  1. Product Management Experience
    1. 1-3 year as PM/APM with product ownership, OR 
    2. 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research)
  2. Technical Stack Depth
    1. Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses
    2. Advanced SQL (query optimization, not just SELECT statements) 
    3. Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, or Airflow/DBT/Kafka/Trino 
    4. Understands how data systems work end-to-end (not just BI layer)
  3. Problem-First Thinking
    1. Asks clarifying questions before solutions (WHO, WHAT, WHEN, WHY, HOW) 
    2. Articulates problems → solutions → outcomes (not feature lists) 
    3. Synthesizes requirements from diverse stakeholders into clear product specs
  4. Structured Approach
    1. Breaks down ambiguous problems systematically
    2. States assumptions explicitly and validates them
    3. Thinks in MVP phases and

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