Data Product Manager @ Mobile.de
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Job Details
About mobile.de
Founded in 1996, mobile.de disrupted the status quo of buying and selling cars as the first online vehicle marketplace. Today, mobile.de is Germany's largest vehicle marketplace with 1.4 million listed vehicles and 108 million monthly customer visits. The platform offers additional financing and leasing solutions alongside buying and selling vehicles.
What We Offer
At mobile.de, you will be part of a diverse, international team that values meaningful work, AI integration, growth, and a strong culture of connection and inclusion. Enjoy continuous development opportunities, training budgets, and flexible work options including remote days.
- 28 days paid time off
- €50 monthly mobility allowance
- Development budget and coaching
- Parental leave benefits
- Annual incentive plan
Your Role & Responsibilities
As a Data Product Manager at mobile.de, you will join the Data & Analytics Strategy team. Your key responsibilities include:
- Bridging technical and business needs through requirements engineering
- Planning and prioritizing data product roadmaps
- Acting as a strategic partner to business units
- Driving user adoption with training and documentation
- Championing a data self-service culture and quality standards
Your Profile
You are expected to have strong project management, exceptional communication, and a robust understanding of data engineering principles, data analysis tools (such as SQL and Looker), along with experience in agile methodologies. A passion for learning and a strategic mindset towards data is essential.
Key skills/competency
- Data Engineering
- Data Analysis
- BI Tools
- Agile
- Project Management
- Communication
- Data Governance
- SQL
- Looker
- Strategic Planning
How to Get Hired at Mobile.de
🎯 Tips for Getting Hired
- Customize your resume: Highlight data product and agile experiences.
- Research mobile.de: Understand their marketplace and AI initiatives.
- Align skills: Emphasize data analysis and BI tool proficiency.
- Practice interviews: Prepare for questions on data strategy.