NICE
Make experiences flow.
Technical Customer Success Manager
Location
United States
Posted
3 days ago
Salary
Not specified
3 yrs expEnglish
Job Description
• Act as a shared technical resource for CSMs across multiple enterprise accounts
• Support CSMs with technical topics related to platform usage, solution design, product functionality, demos and best practice
• Provide timely responses to technical questions from CSMs and, where appropriate, directly from customers
• Serve as an escalation point for complex 'how does this work' or 'how should we do this' questions
• Advise customers on conversational AI best practices, including dialog design, intent modeling, and flow orchestration
• Support NLU configuration, training, testing, and optimization
• Provide guidance on the application of generative AI and agentic AI concepts within enterprise conversational solutions
• Help customers understand platform capabilities, limitations, and recommended patterns
• Support customers operating conversational AI solutions within contact center environments (voice and digital)
• Provide high-level guidance on integrations with CCaaS, CRM, and backend systems
• Help customers troubleshoot issues related to conversation behavior, routing, and experience design
• Collaborate closely with Support, Product, Engineering, and Professional Services to resolve customer issues
• Identify recurring themes, gaps, or improvement opportunities and feed insights back to internal teams
• Contribute to internal documentation, enablement materials, and best-practice guides for CSMs
• Help standardize technical guidance across the customer base
• Enable CSMs to handle more technical conversations independently over time
• Improve internal processes and documentation to support a growing enterprise customer footprint.
Job Requirements
- 3–5 years of experience in conversational AI, virtual agents, or intelligent automation
- Experience in a customer-facing technical role (Customer Success, Solution Consulting, Technical Support, or Professional Services)
- Experience supporting enterprise customers in a one-to-many or scaled model
- Strong understanding of conversational AI fundamentals, including:
- NLU concepts (intents, entities, training data, evaluation)
- Generative AI and LLM-based conversational systems
- Agentic AI and multi-step orchestration patterns
- Solid understanding of contact center operations and customer service workflows
- Ability to analyze conversational behavior and explain technical concepts to non-technical stakeholders
- Clear communicator with a pragmatic, solution-oriented mindset
- Curious and eager to stay current with advancements in conversational and generative AI
- Strong sense of ownership and customer focus.
Benefits
- Flexible working hours
- Professional development