MOIA

Product Owner (all genders) - Data Processing

Stellenbeschreibung:

Product Owner (all genders) - Data Processing

Berlin, Germany; Hamburg, Germany

Why your role as a Product Owner matters

Your work as a Product Owner enables reliable and scalable workflows for teams such as:

  • Perception Validation and Model Evaluation
  • Automated Scenario and Test‑Case Generation
  • Data Analytics and KPI Aggregation
  • Virtual Testing and Simulation Pipelines
  • Frontend and Backoffice Applications

By absorbing variability from upstream data sources and providing consistent, validated outputs, the Data Processing team removes friction for downstream engineering. This enables faster debugging, safer validation, and more efficient development as systems evolve over time.

What you will do

  • Product Ownership: Own the product scope and backlog for a data processing capability that ingests raw multimodal sensor data (e.g. camera video, lidar, radar, CAN signals, perception objects) from vehicles and third‑party providers via AWS.
  • Data Processing Standards: Drive the implementation of strict input normalization, temporal alignment and synchronization, de‑duplication and signal merging, schema validation and version handling.
  • Data Reliability & Compatibility: Ensure stable, backward‑compatible output formats so upstream changes do not disrupt downstream consumers or workflows.
  • Backlog Management & Prioritization: Prioritize and manage your team’s backlog in alignment with Program Increment (PI) objectives and overall product goals within a SAFe environment.
  • Stakeholder Alignment & Collaboration:
    • Work closely with Product Management and other Product Owners in the Agile Release Train to align priorities, dependencies, risks, trade‑offs, and delivery.
    • Act as the main interface between data producers (e.g. OEMs, SDS provider) and downstream engineering teams, translating consumer needs into concrete features and quality criteria.
    • Manage dependencies, risks, and trade‑offs transparently across stakeholders.
  • Agile Execution:
    • Ensure backlog readiness and active participation in ceremonies such as PI Planning, backlog refinement, Inspect & Adapt events.
    • Define the product vision for Data Processing and own measurable outcomes — not just delivery, but whether downstream teams benefit.
    • Co‑lead the team in the Triangle with Tech Lead and Agilist; influence and align without authority.
    • Prioritize based on evidence: usage data, quality metrics, and consumer feedback.

What will help you to fulfill your role

  • You have proven experience as a Product Owner or Product Manager working closely with engineering teams, turning high‑level objectives and PI goals into clear, well‑structured backlog items that enable predictable delivery.
  • Track record of outcome‑oriented product ownership, not just backlog management.
  • Curiosity to grow your PM craft and share learnings across the product organization.
  • Data Processing & Quality Expertise:
    • You demonstrate strong understanding of data processing concepts, especially time‑series, sensor data, and related data quality challenges.
    • You have experience with schema evolution, data normalization, validation, and maintaining shared outputs for multiple downstream consumers.
  • Problem solving & execution:
    • You have structured problem‑solving skills and the ability to translate ambiguity into actionable backlog.
    • Experience working in cloud‑based data platforms and managing teams who practice continuous delivery and DevOps.
  • Stakeholder collaboration:
    • You are a confident communicator who enjoys working across technical and non‑technical stakeholders in a scaled agile environment; communicating with them fluently in English (German is a plus).
    • Proven track record in stakeholder and supplier management, including hands‑on experience working with external development partners.
    • Ability to drive alignment across internal teams and suppliers while managing dependencies, risks, and delivery commitments.
  • Pragmatic mindset: You can turn ambiguity into action, balance short‑term delivery with long‑term maintainability.

Our benefits in a nutshell

  • Competitive salary (including bonus)
  • Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
  • Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
  • Budget and monthly expense allowance for home office setup
  • Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
  • Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
  • Subsidized fitness club membership or bike leasing
  • Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
  • Mental health support, 1:1 sessions with external professionals and mental unload workshops
  • 30 vacation days, sabbatical and unpaid leave option
  • Relocation support with service provider (visa, administration, etc.)
  • Dog‑friendly offices

Be who you are!

We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.

In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    19 Apr 2026
  • Standort:

    WorkFromHome

    Einsatzort:

    Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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