Product Manager (all genders) - Diagnostics

JobsCloseBy Editorial Insights

MOIA seeks a Product Manager for Diagnostics in Hannover to shape the Diagnostics & Monitoring roadmap and drive end-to-end fault traceability across vehicle, connectivity and backend domains. You will define diagnostic use cases, standardize event definitions and data contracts, evolve error management workflows, and ensure alignment with System Architecture, Safety and Cybersecurity while focusing on business impact. To stand out, show hands-on experience with vehicle diagnostics concepts, logging and tracing tools such as ETAS, Vector, OpenTelemetry, remote diagnostics, and SAFe practices like PI Planning. Highlight outcomes such as roadmaps delivered, cross-domain collaboration, and how decisions improved uptime. Follow MOIA’s guidance to share authentic responses and tailor examples to your own experience.

Join us as a Product Manager - Diagnostics (m/f/d) in our Diagnostics & Monitoring team on a shared journey that matters!

The Diagnostics & Monitoring Team builds and operates the foundation for vehicle health visibility.

We aim to provide end‑to‑end diagnostics and monitoring landscape that enables insight into the health, state, and fault behavior of vehicles throughout their lifecycle.

Our work ensures that vehicle issues can be detected early, diagnosed reliably, and understood consistently. By providing standardized diagnostics and vehicle health monitoring capabilities, we enable stable vehicle operation, efficient troubleshooting, and continuous improvement of vehicle functions and services.

What you will do

• Develop and maintain the diagnostics roadmap for vehicle components, aligned with product and operational priorities.
• Define and prioritize diagnostic use cases, ensuring meaningful coverage across vehicle health, fault detection, and operational transparency.
• Drive end‑to‑end fault traceability across systems, enabling consistent tracking from vehicle through SDS and backend services.
• Standardize diagnostic event definitions, logging formats, and data contracts to ensure consistency and reusability across teams and domains.
• Define and evolve error and fault management workflows, covering detection, reporting, analysis, and resolution.
• Coordinate and synchronize diagnostic processes across vehicle, connectivity, and SDS domains to ensure coherent end‑to‑end behavior.
• Work closely with Monitoring, OTA, and Data Processing teams to ensure diagnostics are integrated into operational and lifecycle processes.
• Ensure alignment with System Architecture, Safety, and Cybersecurity requirements, incorporating regulatory and compliance constraints into diagnostic concepts.
• Promote a value‑oriented approach to diagnostics, linking logs and fault information to business, operational, and customer impact.

What will help you to fulfill your role 

• Good understanding of vehicle diagnostics concepts, including fault codes, events, signals, and vehicle health assessment across the vehicle lifecycle.
• Working knowledge of logging and tracing concepts and frameworks used in automotive and distributed environments (e.g. ETAS, Vector, OpenTelemetry, or comparable solutions).
• Familiarity with remote vehicle diagnostics and fault management, including backend‑supported analysis and lifecycle use cases.
• General understanding of error‑handling and diagnostic architectures spanning in‑vehicle systems and backend services, with awareness of end‑to‑end implications.
• Ability to reason about distributed, vehicle‑centric systems, including how faults propagate and how traceability can be achieved.
• Experience in defining and prioritizing cross‑domain capabilities, spanning diagnostics, monitoring, OTA, and related operational functions.
• Good stakeholder management skills, enabling alignment across engineering, architecture, operations, and product teams.
• Ability to support and maintain product roadmaps in complex, multi‑team environments.
• Solid hands‑on professional experience in a relevant field, with a proven track record of successfully delivering results in complex environments.
• Practical experience working in a SAFe setup, including PI Planning, feature alignment, and dependency mapping.
• Ability to translate technical diagnostic concepts into product‑level considerations, balancing vehicle needs, system constraints, and long‑term consistency.

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.

Our Future Work model

Since we love to collaborate, it is clear to us that we don't want to become a fully remote company, but we also don't need to spend every day of the week in the office to do a great job.

Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for the teams and the individuals with as much self-determination as possible.

Get more insights on how we work on our blog to find out more about our hiring process or follow us on Instagram for a look inside 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.