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November 4, 2026

Senior Product Manager, Data Platforms

Senior • On-site

23,200 - 36,300 PLN/yr

Warsaw, MA, Poland

Quick Facts

  • Role: Senior Product Manager for an Operational Data Platform (data streaming + database infrastructure)

  • Focus: Low-latency, reliable, cost-efficient operational data for downstream analytics/AI

  • People management: Not included

Description

Own the vision, strategy, and execution for the Operational Data Platform, responsible for creating, transporting, and storing operational data so it’s available to downstream analytics or AI. Define the platform roadmap across event streaming and relational/NoSQL databases, ensure critical-path reliability and cost-efficiency, and set data-contract / schema standards at the point of data creation. Collaborate with Engineering Leads and cross-functional data producer and analytical teams to deliver measurable KPIs.

Responsibilities

  • Drive the Operational Data Platform product vision and roadmap with the Engineering Lead

  • Lead the cost-efficiency roadmap as a core KPI

  • Maintain reliability using uptime targets and incident learning feedback into platform planning

  • Champion data-contract and schema standards to improve downstream data quality

  • Guide platform tooling decisions and consolidate technologies

  • Define and maintain the handover contract with the Analytical Data Platform to ensure governance-ready data

  • Act as the primary interface between the Operational Data Platform and data producers, translating needs into roadmap priorities

  • Define, track, and report squad KPIs (cost efficiency, critical-path reliability, data-quality adoption)

Requirements

  • Proven experience as a Product Manager with grounding in data infrastructure, data engineering, or backend platforms

  • Comfort with streaming, messaging, and database architecture

  • Working familiarity with event streaming and relational/NoSQL databases to discuss technical trade-offs

  • Track record driving roadmaps and KPIs for technical/platform teams (cost, reliability, or data quality)

  • Data-driven approach to prioritization and roadmap decisions supported by analytical tools/frameworks

  • Strong collaboration and communication with engineering leads and key stakeholders

  • Pragmatic, execution-oriented mindset to drive autonomous delivery and manage trade-offs in production environments

Benefits

  • Global collaboration across international product and engineering teams with active knowledge sharing

  • Build and operate modern systems at global scale supporting millions of customers and complex supply chain operations

  • Technical/product/design leadership in an autonomous, product-led setup

  • End-to-end development/delivery from problem definition to production for long-term scalability

  • Workspace access at Warsaw Centre Point with modern facilities

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