Manager, Product Management - Data Pipeline & Integration

Celonis Celonis · Data AI · Germany · Remote · Product

Manager, Product Management for Data Pipeline & Integration at Celonis, a leader in Process Intelligence. This role focuses on the strategy and execution of data ingestion into the Celonis Process Intelligence Graph, ensuring connectivity to various enterprise systems and supporting real-time and zero-copy ingestion. The role involves leading product teams, optimizing ETL, and enabling platform primitives for data integration.

What you'd actually do

  1. Expand Data Connectivity: Ensure Celonis can access all business data regardless of format, source system, or ingestion method, maintaining our position as the most connected platform in the market.
  2. Scale the India Hub: Lead and mentor our expanding product teams in India, driving the roadmap for out-of-the-box Extractors and accelerating our delivery of native connectivity.
  3. Optimize ETL Reliability: Take ownership of the reliable execution of ETL workloads, focusing on optimizing resource utilization and system performance for our largest global customers.
  4. Deliver Platform Primitives: Drive the development of the Extractor Builder, push-based ingestion (REST, S3), and generic JDBC connectivity to empower customers and partners to build their own integrations.
  5. Expand Zero-Copy Strategy: Expand and drive strategic data partnerships and zero-copy integrations, reducing data redundancy and accelerating time-to-value for the enterprise.

Skills

Required

  • technical product management
  • data integration
  • ETL
  • enterprise SaaS platforms
  • managing and scaling product teams
  • modern data architectures
  • SQL
  • REST APIs
  • cloud storage (S3/Azure/GCS)
  • streaming technologies
  • enterprise systems (SAP, Oracle, Salesforce)
  • data connectivity protocols (JDBC, OData, S3, REST etc.)
  • strategy
  • execution
  • stakeholder management

Nice to have

  • experience with India-based hubs
  • master’s degree in Computer Science, Engineering, or a related technical field

What the JD emphasized

  • 7+ years in technical product management
  • data integration
  • ETL
  • enterprise SaaS platforms
  • managing and scaling product teams
  • modern data architectures
  • SQL
  • REST APIs
  • cloud storage (S3/Azure/GCS)
  • streaming technologies
  • enterprise systems (SAP, Oracle, Salesforce)
  • data connectivity protocols (JDBC, OData, S3, REST etc.)
  • long-term vision for "Data as a Service"
  • rigorous focus on execution and operational stability