Client success manager Jobs in Lünen
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Client success manager • lunen
- Gesponsert
AI Implementation Manager
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WorldwidersDortmund, North Rhine-Westphalia, Germany- Gesponsert
SAP Director - S / 4 Hana Transformation
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ACZENTADortmund, North Rhine-Westphalia, Deutschland- Gesponsert
Customer Success Manager (Construction)
PropelDortmund, DESenior Customer Success Manager (m / w / d)
Logistikbude GmbHDortmund, North Rhine-Westphalia, Germany- Gesponsert
Praxispartner (Operational Success Manager / Associate) (m / w / d)
Digitale PatientenhilfeDortmund, DEAI Implementation Manager
erg groupDortmund, DE🚨 Fluent German (spoken & written) is a hard requirement for this role
About the Company
This is one of Germany’s fastest-growing AI startups, recently securing over €20M in Series A funding. Their intelligent automation platform is already trusted by major European enterprises. The founding team has a strong record of building and scaling successful technology companies and has assembled experienced talent from leading AI and SaaS organisations.
The Opportunity
As an AI Implementation Manager within the professional services team, you will lead end-to-end client deployments of advanced AI solutions. You will align business requirements with technical delivery, shape and prepare client data, configure and customise tools, and ensure systems are tested, validated, and performing to specification. Acting as a key point of contact between clients, engineering, and product teams, you’ll ensure smooth implementation and measurable business outcomes.
This is a unique chance to join a well-funded startup at a pivotal stage, with the opportunity to influence delivery processes, customer success strategy, and the product roadmap.
Your Work & Focus
- Lead full-cycle AI solution implementations for enterprise clients, from requirements gathering to post-deployment optimisation
- Translate complex client needs into clear technical specifications and workflows
- Oversee data preparation, cleansing, and integration to ensure systems are trained on high-quality datasets
- Configure, customise, and deploy AI tools and SaaS features to align with client environments
- Manage system testing, validation, and accuracy checks before go-live
- Collaborate closely with engineering, product, and client teams to resolve technical challenges and refine deployments
- Provide feedback to product and engineering teams to guide future feature development
- Ensure timelines, budgets, and quality standards are consistently met across multiple simultaneous projects
Essential Skills
What’s On Offer