
Product Manager/Technical Product Owner – Data Platform, AI Readiness
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Poland.
• Collaborate with architecture and engineering teams to co-define and enhance the data platform roadmap.
• Convert technical and business requirements into epics, user stories, and items for the technical backlog.
• Work in close partnership with Data Engineers and Architects on: data models and architectures (batch/streaming), data pipelines and ingestion frameworks, storage solutions (e.g. data lake/data warehouse), and processing layers.
• Assist in the design and implementation of platform components for: machine learning workflows (MLOps, feature stores, model lifecycle), data observability, lineage, and quality monitoring.
• Ensure datasets are dependable, well-organized, and prepared for analytics and ML applications.
• Engage in technical discussions and contribute to architecture decisions (beyond mere coordination).
• Lead delivery in an agile environment (planning, backlog refinement, prioritization).
• Clearly communicate technical concepts to non-technical stakeholders.
• Over 6 years of overall experience, including a minimum of 2 years in data architecture, data engineering, or platform design.
• Practical knowledge of modern data architectures (Lakehouse, DWH, streaming).
• Familiarity with cloud platforms (AWS, Azure, or GCP – at least one).
• Experience with data processing tools (e.g. Spark, dbt, Airflow, or similar).
• Proven experience working closely with engineering teams (Data, Backend, Platform).
• Ability to comprehend and discuss: data models, schemas, pipelines, performance topics, and trade-offs between scalability, cost, and complexity.
• Basic understanding of the ML ecosystem (pipelines, model lifecycle, deployment concepts).
• Strong analytical thinking and problem-solving abilities.
• Effective communication and stakeholder management skills.
• AgilePM Practitioner certification or equivalent.
• Scrum Product Owner II (PSPO II) certification or equivalent.
• Working knowledge of PMBOK (project management standards and practices).
• Experience in regulated industries (finance, telecommunications, media, healthcare) is a plus.
• Background as a Data Engineer, BI Engineer, or Technical Analyst is advantageous.
• PMP certification is a plus.
• Flexible employment with hybrid work options.
• A non-corporate work environment.
• Lunch vouchers.
• Private healthcare and insurance coverage.
• Multisport card.
• Well-being initiatives.
• Travel programs.
• Additional exciting benefits will be disclosed during our interviews.
HubSpot
Prima
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