Customer Success Manager (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Customer Success Manager (AI): Guiding enterprise clients through the full lifecycle of conversational AI and automation solutions with an accent on implementation, technical configuration, and relationship management. Focus on driving product adoption, optimizing bot performance, and translating customer needs into actionable product improvements.
Location: Must be based in or able to work from Zürich, Switzerland (hybrid)
Company
is a leading provider of GenAI, Conversational AI, and automation software, helping organizations across banking, insurance, and logistics improve efficiency and customer experience.
What you will do
- Manage the end-to-end customer lifecycle from discovery and onboarding to long-term success.
- Configure conversational AI bots, automation workflows, and system integrations tailored to client objectives.
- Coordinate UAT and oversee QA processes to ensure solutions meet high-quality standards.
- Monitor bot performance and provide data-driven recommendations for optimization and ROI.
- Conduct training and enablement workshops to empower client teams.
- Collaborate with product and engineering teams to translate feedback into product development.
Requirements
- Native-level proficiency in German/Swiss-German and French is required.
- Strong English communication skills.
- 3–5 years of experience in Customer Success, Project Management, or Technical Account Management within SaaS or automation.
- Proven experience in partner enablement and training.
- Understanding of AI/NLP solutions, APIs, and low-code/no-code platforms.
- Ability to manage multiple client projects simultaneously in a fast-paced environment.
Nice to have
- Proficiency in Spanish.
Culture & Benefits
- Work on cutting-edge conversational AI products used by leading global enterprises.
- Join a diverse, global team that values collaboration and open feedback.
- High ownership and autonomy in shaping AI solutions.
- Direct exposure to enterprise clients and real-world AI implementations.
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