Product Owner – SDV Data Products (f/m/d)

About This Opportunity

Our talent team is representing a confidential AdTech client based in Berlin. They are seeking a Product Owner to lead delivery for their data pipeline squad, working at the intersection of supplier integrations, data engineering, and downstream product teams. This role requires strong technical product ownership skills and a deep understanding of operational data quality metrics.

If you have experience managing complex data ingestion pipelines, can translate business strategy into engineering-ready backlogs, and are comfortable working directly with technical partners on schema design and integration work, we encourage you to apply through Get A Job.ai.

Responsibilities

• Own and maintain the squad backlog, translating product strategy into clear, testable user stories for data engineers
• Lead the roadmap for modernising and scaling core data ingestion and processing pipelines to handle high-throughput workloads
• Manage internal dependencies including SLAs, schema contracts, and roadmap coordination with downstream product squads
• Coordinate releases of new schemas, ingestion endpoints, match logic changes, and signal product enhancements
• Act as primary product counterpart to data supplier and panel partner technical teams, co-owning ingestion specifications and schema contracts
• Support new supplier partnerships and panel expansion through feasibility assessment, integration scoping, and prototype delivery
• Define, own, and report on operational KPIs such as signal freshness, SLA adherence, panel coverage, schema validation pass rate, and match rate
• Establish SLIs, SLOs, and escalation paths in partnership with engineering teams, and own operational visibility through dashboards and alerts

What We're Looking For

• 3-5 years of experience as a Product Owner or technical Product Manager, ideally in AdTech, MarTech, or another data-heavy ecosystem
• Strong delivery and technical scale management skills: sequencing complex backend work, mapping dependencies, and scoping against time constraints
• Operational rigor: comfortable thinking in SLIs, SLOs, freshness metrics, match rates, and MTTR, not just features shipped
• Required SQL proficiency: able to independently query internal data sources to investigate supplier data, panel quality, and pipeline KPIs
• Comfortable with ambiguity and able to make decisions with limited information while translating business intent clearly for engineering teams
• Privacy-aware product thinking with understanding of data governance and how evolving privacy frameworks affect upstream ingestion and pipeline logic
• Clear communication skills across different levels, able to translate strategy into specifications and engineering reality into product trade-offs
• True ownership mentality: drives outcomes without step-by-step direction and surfaces tensions upward appropriately
• Experience with tools including SQL, Jira, Confluence, and API documentation platforms
• Nice to have: prior experience collaborating with identity vendors, panel providers, or purchase-data suppliers on schema and integration work
• Nice to have: based in Berlin or open to periodic office presence in Berlin

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client and coordinate the interview process on your behalf. The client's process typically includes an HR interview, VP Product interview, case study exercise, and team interview.

Please apply only through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Pay

Pay details will be discussed during the screening process with our recruiting team.

This is a hybrid role based in Berlin with flexible work arrangements. The client is looking to fill this position as soon as possible.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to building diverse teams.