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Keboola

Posted 4 months ago

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Product Manager – Data Management & Storage

PragueOn-siteFull-time

AI Summary

Product Manager owning the data storage and transformation domain end-to-end, shaping how data is stored, transformed, governed, and understood across the Keboola platform.

About this role

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.

What you’ll own

  • 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

    • What you’ll do

  • 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

    • What we’re looking for

    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

    • Compensation

  • Competitive salary + equity package.
  • Budget for education.
  • 25 PTO's plus 3 sick days.
  • Cool new offices in the heart of Holesovice in Prague.

    • Keboola’s Core Values

  • Care, love and respect
  • No BS
  • Get your stuff done and do a bit more
  • Create and innovate
  • Learn!
  • One team

    • Skills

    AI ToolsAnalytical ExperimentationBigQueryCloud Data PlatformsDatabricksData GovernanceData LineageData ModelingData PipelinesData WarehousingELTETLGo-to-market CollaborationMetadataObservabilityPrototyping ToolsRedshiftRelease PlanningSnowflake

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