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
Top Skills
What We Do
Keboola is a cloud-based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products in a quick and easy fashion.
Operating and servicing clients for 8 years, we help a wide array of businesses from financial, travel, hospitality, retail and gaming industries, we help them significantly reduce or eliminate:
• Time spent on repetitive maintenance tasks
• Adoption time and learning curves needed for outdated systems
• Drawn-out menial responsibilities which detract from efficiency
Building on knowledge of programming that is available in the market such as SQL, R, Python etc…., we allow clients achieve unparalleled time to value ratio with all Keboola Connection implementations. Majority of our customers are completely self-serving from the inception of their project.
We partner with professional services companies to build the right solutions for our clients. Our Developer partners build apps that seamlessly integrate their services and algorithms into our structure, making functions like predictive analytics and machine learning instantly available to our customers with no integration work required. We cast technology alliances with platforms that help our clients consume the data and insights in the ways most suitable for their particular use cases.
Let us show you how to #DoMoreWithData.
