Client Success Partner (m/d/f)

In this role you own and nurture post‑sales client relationships within Sportradar’s Audiovisual Betting unit. You lead onboarding, training, demos, business reviews, and ongoing support to secure long-term success. You’ll coordinate with Sales, Administration and Product to align on client needs and KPIs, using AI-driven insights to enhance reporting and efficiency. You will identify cross-sell opportunities and support the sales team in presenting Sportradar’s value. This is a globally oriented, collaborative role that combines relationship management with data-driven optimization.

• collaborative, global environment
• flexible work arrangements with autonomy
• office-first, on-site collaboration
• vibrant, inclusive community with ERGs (Women in Tech, Pride)
• Global Employee Assistance Programme
• Calm and Reulay well-being apps

• Own the client relationship as first point of contact for ongoing success
• Lead onboarding, training, demos, business reviews, and renewal activities
• Coordinate alignment between Sales, Administration and Product
• Maintain understanding of client KPIs and advise on achieving them using internal/external sources
• Leverage AI tools to analyze data, automate reporting, and improve deliverables quality
• Identify cross- and upsell opportunities with clients
• Prepare client-facing materials such as reports and presentations
• Travel for internal and client meetings as needed

• 3+ years in client relationship/success or account management
• Ability to build strategic relationships and drive joint client success
• Strong commercial drive with analytical and operational capabilities
• Influence and persuade senior stakeholders
• Hands-on experience with AI tools and applying them to business processes
• Technology-savvy with interest in digital world and sports
• Excellent English, additional languages beneficial
• Independent and self-driven personality

• strong communication
• stakeholder management
• analytical thinking
• AI tools and applications (generative AI, LLMs, AI-driven analytics)
• data analysis and reporting
• CRM and client success platforms (implied)