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  3. Manager, Product Management - Data Pipeline Integration
Celonis logo

Manager, Product Management - Data Pipeline Integration

Celonis
Munich, Germany
Full Time
Posted April 17, 2026
Not Specified
~19 people viewed this recently
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Job Description

The role involves leading the development and scaling of data ingestion and integration strategies for a Process Intelligence platform, focusing on real-time, reliable, and scalable data connectivity across complex enterprise systems, while managing a global product team.

Key Responsibilities

  • Lead the Data Pipeline and Integration strategy to enable real-time, scalable data ingestion from diverse enterprise systems.
  • Manage and mentor the product teams, including scaling the India hub, to develop out-of-the-box connectors and native data integrations.
  • Ensure reliable execution and optimization of ETL workloads for global customers.
  • Develop platform primitives such as Extractor Builder, push-based ingestion REST, S3, and JDBC connectivity for custom integrations.
  • Expand zero-copy data strategies through strategic partnerships and integrations to reduce redundancy and accelerate value delivery.
  • Design and manage pipeline experiences that are configurable and troubleshootable by humans and AI agents.
  • Drive the transition to real-time data ingestion to enable proactive operational use cases.
  • Collaborate with cross-functional teams to ensure seamless data lifecycle performance across the platform.

Requirements

  • 7 years of experience in technical product management, specifically within data integration, ETL, or enterprise SaaS platforms.
  • Proven track record of managing and scaling product teams, with experience operating in global, distributed environments; experience with India-based hubs is a plus.
  • Deep understanding of modern data architectures, including SQL, REST APIs, cloud storage S3, Azure, GCS, and streaming technologies.
  • Hands-on experience with enterprise systems such as SAP, Oracle, Salesforce, and various data connectivity protocols including JDBC, OData, S3, REST.
  • Ability to define a long-term vision for Data as a Service while maintaining a rigorous focus on execution and operational stability.
  • A master’s degree in Computer Science, Engineering, or a related technical field is preferred.
  • Exceptional stakeholder management skills, with the ability to bridge the gap between deep engineering requirements and executive business value.

Benefits & Perks

Restricted Stock Units (RSUs) and merit-based refresh grants
Unrivaled family support with 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers
Unlimited PTO in applicable regions and generous PTO globally
Flexible hybrid work model
Subsidized Wellhub memberships and mental health counseling
Dedicated Wellness Weeks
Paid time off for community and environmental volunteer activities during Impact Days
Participation in Inclusion Think Tank and Inclusion Days
Access to a learning platform with mentorship programs and a 70-20-10 learning framework

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