Technical Customer Success Manager (Conversational AI)

TL;DR

Technical Customer Success Manager (Conversational AI): Guiding customers through the entire lifecycle of AI solution adoption, from discovery and implementation to measurable success with an accent on bot configuration, automation workflows, and system integrations. Focus on coordinating UAT, optimizing bot performance to increase ROI, and translating customer feedback into product recommendations.

Location: Remote (Poland)

Company

Leading provider of GenAI, Conversational AI, and automation software headquartered in Zurich, Switzerland.

What you will do

• Manage the end-to-end customer lifecycle, including onboarding with clear implementation roadmaps, milestones, and KPIs.
• Configure conversational AI bots, automation workflows, and technical integrations tailored to specific business objectives.
• Coordinate and oversee User Acceptance Testing (UAT) to ensure solutions meet agreed quality standards.
• Continuously monitor bot performance and suggest optimizations to increase efficiency and ROI.
• Conduct training and enablement workshops to empower customer teams to use tools effectively.
• Collaborate with product and engineering teams to translate customer feedback into concrete product improvements.

Requirements

• Native-level Polish and strong English language skills.
• Bachelor’s or Master’s degree in Computer Science, Business Administration, or a related field.
• 3–5 years of experience in Customer Success, Implementation, or Technical Account Management, ideally in SaaS.
• Technical familiarity with DevOps practices and on-premise deployments.
• Understanding of AI/NLP solutions, APIs, and low-code/no-code platforms.
• Strong analytical skills and the ability to manage multiple enterprise client projects simultaneously.

Culture & Benefits

• Opportunity to work with cutting-edge conversational AI products used by leading enterprises.
• High level of ownership and autonomy in shaping technical solutions.
• Collaborative global team environment with a progressive culture and flat hierarchies.
• Direct exposure to real-world enterprise AI implementations and large-scale clients.