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Carwow is Europe's leading platform for car buying, selling, listing, and leasing. The company has evolved from a valuation platform into one of the largest online automotive marketplaces, processing nearly £3 billion in car purchases and £1.8 billion in vehicle sales in 2024. Following the acquisition of Autovia (AutoExpress and Evo), Carwow has doubled its reach with 10 million YouTube subscribers, 1.2 million magazine sales, and over 350 million annual online readers.
As a Sales Advisor, you will be a key pillar of the sales organization alongside Business Development and Account Management. Your role is to create an exceptional buying and selling experience for customers and partners on the Carwow platform.
Key Responsibilities:
- Advise sellers on selling their cars through the "Sell My Car" platform and facilitate connections with partner dealers to ensure seamless customer experience on both sides
- Communicate across multiple channels (phone, email, WhatsApp) to ensure efficient sales processes and increase satisfaction among sellers and dealers
- Act as the critical link between sellers and dealers, continuously driving high sales conversion rates
- Identify opportunities and risks using data-driven insights
The role is based in Munich with a hybrid work arrangement (3 days office, 2 days home office). You'll receive a competitive salary package, 28 vacation days (increasing to 35 with tenure), up to four weeks of workcation annually, latest technology (MacBook or Windows laptop), home office equipment budget of €500, and subsidized occupational pension contributions.
Requirements:
- Strong communication skills and confident presence across different target audiences
- Sales experience, ideally from automotive retail or comparable roles, with empathy and interpersonal sensitivity
- Passion for the automotive industry: knowledgeable about trends and market developments
- Analytical thinking: ability to use data to identify opportunities and risks
- Hands-on mentality, high self-motivation, and resilience in a dynamic scale-up environment
