Stellenbeschreibung
We are looking for a Customer Success Manager – AI & Data (m/f/d).
Start: 01.09.2026
End: 28.02.2027
Workload: Full-time
Location: 100% remote
As Customer Success Manager - AI & Data, you play a central role in ensuring that customers achieve sustainable business value from our AI and Data solutions. You combine strong customer orientation with a solid understanding of data-driven and AI-enabled solution approaches. Your mission is to guide customers across the full lifecycle - from onboarding and adoption to expansion - and to make the value of our solutions visible, measurable, and actionable.
Key Responsibilities
- Build trusted relationships with customer stakeholders and act as a strategic advisor throughout the customer lifecycle.
- Create success plans with adoption milestones, business outcomes, measurable value indicators, and concrete next steps.
- Lead business reviews and value assessments to summarize progress, identify risks, and define follow-up actions.
- Support onboarding and transition activities to ensure a smooth handover from sales into delivery and operations.
- Drive adoption of AI and Data solutions such as Generative AI services, analytics platforms, data architectures, and automation capabilities.
- Identify adoption gaps, coordinate corrective actions, and ensure customer feedback and issues are addressed effectively.
- Monitor customer health, satisfaction, and delivery dependencies and proactively manage risks and escalations.
- Identify renewal, cross-sell, and upsell potential based on customer priorities, usage patterns, and emerging business needs.
- Act as the central coordination point between the customer and internal sales, presales, delivery, support, and product teams.
Required Skills and Experience
- Experience in Customer Success, Account Management, Consulting, or a comparable customer-facing role in technology-driven environments.
- Strong understanding of AI, Data, Analytics, and cloud-based solution landscapes.
- Proven ability to manage customer relationships, drive adoption, and translate technical capabilities into business value.
- Experience working with complex stakeholder environments and cross-functional teams.
- Excellent communication, presentation, and problem-solving skills.
- Structured, analytical, and outcome-oriented working style.
Preferred Qualifications
- Experience with Generative AI, Machine Learning, analytics platforms, or modern data architectures.
- Knowledge of hyperscaler environments such as Azure, AWS, or Google Cloud.
- Experience with CRM, customer success tooling, adoption dashboards, or KPI tracking frameworks.
- Bachelor's or master's degree in Business, Technology, Information Systems, Data, or a related field.