Product Manager : Data Platform

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.

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.

• → 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

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 iterations
5. Technical Communication
1. Holds technical discussions with engineers/architects
2. Translates business needs into system specs, APIs, and developer interfaces
3. 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

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