Keboola
Keboola3mo ago

Product Manager – Data Management & Storage

Prague · PragueFull-timemid
Product ManagementProduct ManagerPrincipal Product Manager
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Quick Summary

Overview

We’re looking for a Product Manager who will own the data management and storage domain end-to-end. This role is responsible for shaping how data is stored, transformed, governed,

Technical Tools
Product ManagementProduct ManagerPrincipal Product Manager
We’re looking for a Product Manager who will own the data management and storage domain end-to-end. This role is responsible for shaping how data is stored, transformed, governed, and understood across the platform, working closely with engineering, customers, and go-to-market teams.
 
You’ll operate at the intersection of deep data domain knowledge and strong product craft. You don’t need to be a Keboola expert today - but you must be comfortable in complex data environments and able to quickly build context, ask the right questions, and turn ambiguity into clear product direction.
 
This is a high-impact role in a fast-moving team, with real ownership and the opportunity to raise the product bar across the organization.
  • You will be the product owner for our data storage and transformation layer, including (but not limited to):
  • Cloud data warehouses (e.g. Snowflake, BigQuery, or equivalents)
  • Data transformations and pipelines (ETL / ELT)
  • Input/output mappings, metadata, and data modeling concepts
  • Reliability, scalability, and usability of the data layer
  • Cross-cutting concerns like data governance, lineage, and observability
  • Own the product vision and roadmap for the data management and storage domain, from strategy to delivery
  • Understand customer needs deeply through direct conversations, qualitative research, and quantitative data analysis
  • Prioritize using evidence, not volume—balancing customer impact, business value, and technical constraints
  • Validate ideas early using prototypes, experiments, and data before committing to full delivery
  • Partner closely with engineering, translating complex technical systems into clear product decisions
  • Coordinate across functions—engineering, customer success, sales, and product marketing—to ensure successful releases
  • Use data as a first-class input to measure success, guide iteration, and continuously improve outcomes
  • Leverage modern AI tools to enhance product discovery, decision-making, and delivery workflows
    • Domain knowledge
  • Strong understanding of data platforms, data warehousing, and transformations
  • Experience with cloud data ecosystems (Snowflake, BigQuery, Redshift, Databricks, or similar)
  • Comfortable discussing data models, pipelines, metadata, and trade-offs with engineers
    •  
    Product craft
  • Proven experience as a Product Manager owning complex, technical product areas
  • Strong customer discovery skills and a habit of validating assumptions
  • Data-driven mindset when prioritizing and evaluating outcomes
  • Experience shipping products end-to-end, including release planning and go-to-market collaboration
    •  
    AI & modern tooling
  • Comfortable using AI tools (LLMs, copilots, prototyping tools, analytics assistants) in daily product work
  • Curious about how AI can improve both internal workflows and customer experience
    •  
    Ways of working
  • Clear communicator who can work with engineers, customers, and non-technical stakeholders
  • Pragmatic, structured thinker who thrives in ambiguity
  • Bias toward action, learning, and continuous improvement
  • Competitive salary + equity package.
  • Budget for education.
  • 25 PTO's plus 3 sick days.
  • Cool new offices in the heart of Holesovice in Prague.
  • Care, love and respect
  • No BS
  • Get your stuff done and do a bit more
  • Create and innovate
  • Learn!
  • One team

    • Listing Details

    Posted
    January 23, 2026
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    28
    Repost count
    0
    Trust Level
    33%
    Scored at
    April 24, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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    Keboola
    Keboola
    lever
    Employees
    125
    Founded
    2008
    Domain
    keboola.com
    Jobs
    View 7 jobs
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