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.
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 keboola.com or connect with us on LinkedIn, Twitter, and Facebook.
• 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
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.
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 keboola.com or connect with us on LinkedIn, Twitter, and Facebook.
• 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
Tech stack
SnowflakeBigQueryDatabricks
About Keboola
Keboola is hiring for the product manager – data management & storage role. NewJob aggregates active openings directly from Keboola's applicant tracking system, so this listing is current.
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