Customer Success Manager (m/f/d)

In this role you help protect and maximize the value of our IP data offerings for a diverse, international customer base. You manage the full customer lifecycle, from onboarding to renewal, acting as a trusted product advisor. You translate customer needs into actionable plans, deliver tailored trainings, and drive adoption and long-term retention. You will collaborate with Sales, Product, and cross-functional teams to improve the product and customer outcomes, contributing to sustainable growth and customer success.

• Generous holiday allowance with option to buy extra days
• Wellbeing programs
• Competitive contributory pension
• Travel season ticket loan
• Maternity, paternity and shared parental leave
• Employee Assistance Programme

• Manage a portfolio of customers across onboarding, training, usage development, and renewal preparation
• Lead discussions to understand objectives and translate them into actionable plans
• Deliver product training and enablement sessions; serve as primary product contact for customers
• Apply analytical thinking and product knowledge to address complex questions using patent and innovation data
• Monitor engagement and identify opportunities to increase adoption and value realization
• Document and follow up on product issues; communicate with customers and stakeholders
• Collaborate with Sales, Product, and internal teams to share feedback and support product improvements
• Build long-term customer partnerships to enable sustainable growth and upsell opportunities

• A university degree in mathematics, natural sciences, engineering, economics, data analytics, or a comparable field
• Experience in a customer-facing role (Customer Success, Consulting, Solution Support, Technology Analysis, or similar)
• Strong analytical and problem-solving skills with the ability to structure complex topics
• Excellent communication and presentation skills with confidence engaging international customers
• Proven ability to manage expectations, build trust, and guide customers toward value-driven outcomes
• Proactive, structured, and well-organized working style with ability to learn topics independently
• Strong interest in technology trends, innovation, and data-driven decision-making
• Proficiency in English and German; additional languages a plus

• Communication
• Presentation skills
• Problem-solving
• Data analytics
• Familiarity with patent and innovation data
• Analytical reasoning