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Product Owner (all genders) - Data Processing

Berlin, Germany; Hamburg, Germany

Join us as a Product Owner (all genders) in our Data Processing team on a shared journey that matters!

About the team

The Data Processing team is part of the Vehicle/SDS Data Team and responsible for building and evolving a robust data processing capability that transforms raw, heterogeneous sensor data into standardized, time‑aligned, and validated datasets for downstream engineering workflows.

Our work ensures that teams working on autonomy, validation, analytics, and tooling can rely on consistent, high‑quality sensor data, even as upstream data sources, configurations, and formats change over time.

Why your role as a Product Owner matters

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

  • Data Replay & Debugging (e.g. Lichtblick)
  • 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, and 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 

  • Product Excellence:
    • 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.

We encourage you to apply even if your profile does not meet all the requirements for the role since we are looking for a diverse range of experiences, skills, and interests. We are certain that there will be something for everyone because we are working on such a variety of tasks and embrace individual growth at MOIA.

 

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

For student & internship positions, we have an adjusted set of benefits. You can find them here. 

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.

How we work

At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.

Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.

If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.

Who we are

At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.

We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving

With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission. 

MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.

Your application to MOIA

We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.

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