Data Platform Product Manager

What we offer

• Work in a Scandinavian culture built on logic, trust, and open dialogue.
• Health and sports benefits tailored to your needs.
• Speed Coaching - short sessions designed to provide new perspectives and solutions.
• Sports training, an internal team, and opportunities to take part in competitions.

Role areas

• Data platform backlog and roadmap ownership - Managing the Feature-level backlog for a Databricks-based data platform, collecting needs from business projects, prioritizing and sequencing the delivery of infrastructure features (e.g. observability, FinOps, integrations), and consolidating similar requests into shared patterns (e.g. one connector instead of several separate integrations)
• Coordination between product managers and the platform team - Acting as the platform team's interface towards Stream Leads, Epic Owners and business product managers, aligning scope, priorities and dependencies, coordinating risks, release readiness, changes and handovers, and communicating the plan to the engineering team and stakeholders
• Bringing structure and standards to the platform team - Ensuring backlog hygiene and that specifications are ready before work starts, structured PBIs and Definition of Done, platform service documentation standards, and supporting adoption by the teams using the platform

What you need to join us

Must have

• Experience as a Product Owner / Product Manager for a data platform or data infrastructure (not limited to data catalogs), including Feature-level backlog ownership, prioritization and translating demand into actionable backlog items
• Strong understanding of data architecture and data infrastructure, and of data concepts: Lakehouse, medallion architecture (bronze, silver, gold) in practice, not just by name, data products, data contracts, data mesh
• Technical profile - comfortable discussing conceptual architecture and able to make sound judgments on which platform feature to develop first (you don't need to be a former developer)
• A strong drive for structure and discipline: structured PBIs, Definition of Done, backlog hygiene, combined with excellent communication and stakeholder management and a clear understanding of your role's boundaries
• Living in Prague, Czechia and able to come to the office for meetings

Nice to have

• Experience with Databricks (alternatively Snowflake)
• Experience in organizations where a structured way of working (PBIs, Definition of Done) genuinely sped up delivery
• Experience coordinating dependencies, risks, releases and handovers in an Agile/DevOps environment
• Experience building platform service documentation standards and supporting their adoption
• Familiarity with areas such as observability, FinOps or data integrations
• AI experience - a plus, but not expected