mobile.de is Germany's largest vehicle marketplace with about 1.4 million listed cars, trucks, and motorcycles. Both private customers and more than 40,000 registered vehicle dealers use the platform. Including listing exports to the sister platform Kleinanzeigen, mobile.de reaches about 20 million unique users per month (AGMA digital facts; mobile.de and Kleinanzeigen; categories: cars, motorcycles, commercial vehicles, motorhomes; Ø month April 2022 to March 2023). As a "one-stop shop," mobile.de offers not only buying and selling services but also financing and leasing solutions, among others. The company, founded in 1996, is a subsidiary of Adevinta, a globally leading provider of online classifieds portals.

mobile.de is part of Adevinta: a global online classifieds specialist and sustainability leader with 25+ products in 10 countries.

What you’ll do & Who you are

We are seeking a highly analytical and strategic Product Manager to take ownership of our data products, including score-based sorting and recommenders. This is a fixed-term role for 10 months, covering parental leave. In this position, you will work closely with other PMs to align consumer and business requirements where data products integrate into the user journey. You will collaborate with a cross-functional team, including Data Science, Data Engineering, and Machine Learning Engineers, to build, iterate, and enhance our consumer experience using data-driven insights.

What you'll do:

• Define and execute the roadmap for data products, ensuring alignment with business goals and user needs.
• Collaborate with other Product Managers to integrate data-driven solutions across the consumer experience.
• Partner with Data Science, Data Engineering, and Machine Learning engineers to develop, test, and improve algorithms for ranking, recommendations, and personalization.
• Use analytics and A/B testing to assess the impact of data products on user engagement and conversion.
• Prioritize features and improvements based on data insights, market trends, and stakeholder feedback.
• Communicate product vision, strategy, and progress to partners across the organization.

Who you are:

• 4+ years of experience in product management with data or AI-driven products.
• Experience working with data science and machine learning teams.
• Familiarity with data infrastructure, algorithms, and personalization techniques.
• Experience with A/B testing, user analytics, and data-driven decision-making.
• Communication and working cross-functionally is your strong suit.
• Ability to balance business objectives with technical feasibility and consumer experience.
• Experience in e-commerce, marketplaces, or automotive tech.

If you are passionate about leveraging data to drive user engagement and business growth, and are open to a 10-month fixed-term opportunity, we’d love to hear from you!

Benefits

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:

• An attractive Base Salary ????
• Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon????well why not! just make sure you have internet connection! ????
• A 24/7 Employee Assistance Program for you and your family, because we care ❤️
• Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow ????

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.