Customer Success Manager

Enterprise Bot

. Guide customers through the entire lifecycle, from discovery and implementation to measurable success with AI solutions .

Posted 9/19/2026full-timeZürich • SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Customer Success and Project Management, with a strong focus on AI solutions, automation workflows, and customer relationship management. Proficient in onboarding, training, and enabling customers to achieve measurable outcomes through effective implementation and support.

Highest-signal resume keywords

Customer Success ManagementAI/NLP SolutionsAutomation WorkflowsProject ManagementGerman Language Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Implementation RoadmapsUser Acceptance Testing (UAT)System IntegrationsBot DevelopmentData AnalysisKPI MonitoringPerformance ReportingTechnical Account ManagementPartner EnablementAutomation Optimization

Soft Skills

Strong Communication SkillsTeam-Oriented MindsetAnalytical SkillsPresentation SkillsCustomer Relationship Building

Tools & Technologies

Low-Code/No-Code PlatformsAPIsConversational AI BotsAutomation ToolsPerformance Monitoring Tools

Industry Keywords

SaaSCustomer OnboardingBusiness ReviewsTechnical StakeholdersImplementation Partners

About the role

Key responsibilities & impact

Guide customers through the entire lifecycle, from discovery and implementation to measurable success with AI solutions
Onboard new customers with implementation roadmaps, milestones, and KPIs
Configure conversational AI bots, automation workflows, and integrations tailored to customer use cases and business objectives
Coordinate and oversee User Acceptance Testing (UAT), ensure bot quality, fix problems, and guide customers through test iterations
Monitor bot performance and customer feedback; suggest improvements, automation optimizations, and best practices to increase efficiency and ROI
Conduct regular business reviews, analyze performance reports, and ensure customers achieve their goals
Build strong, long-term customer relationships
Conduct training, enablement workshops, and create documentation to empower customer teams
Translate customer feedback and needs into recommendations and collaborate with product and engineering teams
Work with sales to identify renewal, expansion, and upselling opportunities and drive joint growth

Requirements

What you’ll need

Native-level proficiency in German/Swiss-German is required
Strong English communication skills and ability to engage effectively across technical and business stakeholders
Proficiency in French and Spanish is an added advantage
Bachelor’s or Master’s degree in Business Administration, Computer Science, or a related field
3–5 years of experience in Customer Success, Project Management, Implementation, or Technical Account Management, ideally within SaaS or automation environments
Proven experience in partner enablement, including training, mentoring, and supporting implementation partners to independently deliver Enterprise Bot solutions and drive successful customer outcomes
Hands-on experience or understanding of automation workflows, bot development, system integrations, and QA testing is highly desirable
Knowledge of AI/NLP solutions, APIs, and low-code/no-code platforms is a strong advantage
Strong analytical skills with the ability to interpret data and translate insights into actionable recommendations
Excellent communication and presentation skills, with the ability to explain technical concepts in a clear, customer-friendly manner
Proven ability to manage multiple client projects simultaneously and meet deadlines in a fast-paced environment
Team-oriented mindset with a strong focus on driving customer value and achieving measurable outcomes

Benefits

Comp & perks

Be part of a fast-growing AI company, working on cutting-edge conversational AI products used by leading enterprises
Join a diverse, global team that values collaboration, open feedback, and strong customer focus
High ownership and autonomy, with the chance to directly shape solutions and make an impact
Direct exposure to enterprise clients and real-world AI implementations