Were 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.
Youll operate at the intersection of deep data domain knowledge and strong product craft. You dont 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 youll 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 youll 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 volumebalancing 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 functionsengineering customer success sales and product marketingto 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 were 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 PTOs plus 3 sick days.
- Cool new offices in the heart of Holesovice in Prague.
Keboolas Core Values
- Care love and respect
- No BS
- Get your stuff done and do a bit more
- Create and innovate
- Learn!
- One team
Equal Opportunity Statement
Keboola is an Equal Opportunity Employer. We are committed to fostering an inclusive equitable and diverse workplace where everyone regardless of race colour religion gender national origin age disability veteran status genetic information or any other protected status is given equal opportunity to thrive.
We value the unique perspectives and experiences of all employees and applicants and we strive to ensure that all employment decisions are based on merit qualifications and business needs.
More About Keboola
Every day Keboola connects data systems and people to do their best work all in one place. Keboola is a hybrid multi-cloud data platform that reduces data complexity by streamlining and automating processes. Hundreds of innovative companies rely on Keboola to unlock the power of their data bringing the potential of AI and advanced analytics to life. For more information visit or connect with us on LinkedIn Twitter and Facebook. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Were 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.Youll operate at the in...
Were 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.
Youll operate at the intersection of deep data domain knowledge and strong product craft. You dont 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 youll 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 youll 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 volumebalancing 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 functionsengineering customer success sales and product marketingto 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 were 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 PTOs plus 3 sick days.
- Cool new offices in the heart of Holesovice in Prague.
Keboolas Core Values
- Care love and respect
- No BS
- Get your stuff done and do a bit more
- Create and innovate
- Learn!
- One team
Equal Opportunity Statement
Keboola is an Equal Opportunity Employer. We are committed to fostering an inclusive equitable and diverse workplace where everyone regardless of race colour religion gender national origin age disability veteran status genetic information or any other protected status is given equal opportunity to thrive.
We value the unique perspectives and experiences of all employees and applicants and we strive to ensure that all employment decisions are based on merit qualifications and business needs.
More About Keboola
Every day Keboola connects data systems and people to do their best work all in one place. Keboola is a hybrid multi-cloud data platform that reduces data complexity by streamlining and automating processes. Hundreds of innovative companies rely on Keboola to unlock the power of their data bringing the potential of AI and advanced analytics to life. For more information visit or connect with us on LinkedIn Twitter and Facebook. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
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