Product Manager

About the Role

MoEngage's Data Charter sits at the core of how customer data flows into, through, and out of the platform — spanning ingestion, storage, quality, governance, and interoperability with the broader customer data ecosystem. This is a platform-as-a-product role: you will own the data layer that every other product at MoEngage — campaigns, analytics, segmentation — depends on, and you will be the connective tissue between engineering, enterprise customers, and internal stakeholders who consume this platform daily.

Key Responsibilities

• Own data ingestion, quality, and observability initiatives — designing systems to detect, alert, and resolve data drops, schema drift, and pipeline failures before they impact customer-facing use cases
• Be the authoritative voice on the data platform's architecture, capabilities, and constraints — enabling other product teams to build confidently on top of it
• Partner with engineering to define scalable, reliable architecture for high-volume event and profile data pipelines, balancing latency, cost, and correctness
• Drive data governance and compliance requirements (data retention, archival, encryption, and privacy regulations like GDPR/DPDP) into product decisions
• Work closely with enterprise customers and stakeholders to understand their needs and translate them into product requirements
• Define, track, and own platform health metrics and use it to prioritize the roadmap and tell the platform's story.

Requirements

• 5+ years of experience building data products — data pipelines, data platforms, data quality/observability tooling, or similar products
• Working knowledge of Customer Data Platforms (CDPs)/ Data Warehouses is a plus
• Solid grasp of data engineering concepts: data models, schemas, identity resolution, data relationships and data reconciliation is a must have
• Experience working with enterprise or BFSI-grade customers where data compliance, retention, and auditability are non-negotiable
• Demonstrated ability to influence roadmaps and drive alignment across product, engineering, and business stakeholders without direct authority
• Ability to translate technical data architecture trade-offs into clear business narratives for both engineering and leadership audiences