Product Owner (all genders) - Upload Station Management
MOIABerlin, Germany; Hamburg, GermanyPosted 15 April 2026
Job Description
Join us as a Product Owner (all genders) in our
Upload Station Management
team on a shared journey that matters!
About the team
The Upload Station Management team is part of the Vehicle/SDS Data Team and responsible for managing and evolving a globally distributed upload station solution deployed across hubs in many cities worldwide. These upload stations enable reliable, high‑volume data transfer from vehicles and form a critical part of the autonomous driving and data domain. The solution facilitates vehicle‑to‑station data transfer, provides local buffering when required, and ensures efficient and secure upload to the AWS cloud using high‑bandwidth connectivity solutions such as AWS Direct Connect.
Why your role as a Product Owner matters
Your work as a Product Owner directly enables teams that depend on reliable, high‑volume vehicle data ingestion, including:
Vehicle and Fleet Operations Teams, relying on predictable data offloading to avoid loss, delay, or corruption of vehicle data.
Data Processing and Data Quality Teams, depending on timely and complete uploads to operate downstream pipelines.
Autonomy Development and Validation Teams, requiring consistent availability of sensor data for development and testing.
Analytics and Monitoring Teams, using uploaded data to track fleet behavior and operational KPIs.
Any engineering workflow that relies on vehicle data reaching AWS reliably and at scale is directly impacted by the upload station solution.
Reliable data offloading from vehicles is a prerequisite for autonomous driving development. By owning the upload station solution, you ensure that vehicle data moves efficiently and securely from the real world into the cloud, enabling scalable development, safer validation, and globally distributed autonomous operations.
What you will do
Product Ownership: Own and prioritize the team backlog for the upload station solution in alignment with Program Increment (PI) objectives and Agile Release Train priorities.
End-to-end Capability Ownership: Manage the end‑to‑end capability for vehicle → upload station → AWS cloud data flow, ensuring reliability, scalability, and predictable throughput.
Vehicle Data Ingestion Transfer:
Drive the evolution of upload station capabilities including station configuration and lifecycle management, local buffering and retry handling, monitoring and observability, and secure cloud uploads.
Translate autonomy and data domain requirements into clear, deliverable backlog items and acceptance criteria.
Identify and manage risks related to scalability, availability, cost, and operational complexity of a globally distributed solution.
Stakeholder Alignment Collaboration:
Act as the primary interface between vehicle teams, data processing teams, infrastructure and networking stakeholders, and operations teams managing physical hubs.
Collaborate closely with Product Management and other Product Owners within the ART to manage cross‑team dependencies.
Provide transparency on delivery progress, operational health, and trade‑offs to stakeholders.
Agile Execution: Ensure backlog readiness and active participation in SAFe ceremonies such as PI Planning, backlog refinement, and Inspect Adapt events
What will help you to fulfill your role
Product Excellence: You have proven experience as a Product Owner or Product Manager in complex, distributed system environments, working closely with engineering teams to translate high-level objectives and PI goals into clear, well-structured backlog items that enable predictable delivery.
Edge-to-Cloud Data Transfer Reliability Expertise : Solid understanding of data transfer pipelines, networking fundamentals, and cloud-based ingestion, with familiarity in large-scale data movement, buffering strategies, and reliability considerations at the edge.
Agile experience: Experience working in a SAFe or scaled agile environment, including backlog ownership and PI‑based planning.
Stakeholder collabo ... (truncated, view full listing at source)
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