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NEXTMOVEFDE careers · United States

Technical Customer Success Manager - Conversational AI Or Agentic AI

AI summary of the role

This Technical Customer Success Manager role at NICE (Cognigy) is a one-to-many technical resource supporting 30-50 enterprise accounts, partnering with CSMs to provide deep conversational AI expertise.

What you’ll do

  • 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
  • Advise customers on conversational AI best practices including dialog design, intent modeling, and flow orchestration
  • Support NLU configuration, training, testing, and optimization

What you’ll bring

  • 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)
  • Strong understanding of conversational AI fundamentals including NLU, generative AI, and agentic AI
  • Solid understanding of contact center operations and customer service workflows

Technologies

Cognigy · NLU · generative AI · LLM · agentic AI · CCaaS · CRM · conversational AI · voice automation

About NICE

NICE builds CXone Mpower, a cloud platform for AI-powered customer-experience, contact-center operations, workforce optimization, and digital/financial-crime analytics for global enterprises.

Public · 5000+ people

Source and classification

Customer adoption & accounts · Evidence for this classification:

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a Technical Customer Success Specialist to support our Customer Success Managers (CSMs) by providing deep technical expertise across a portfolio of enterprise customers. This role is designed to scale technical knowledge across the Customer Success organization and act as a technical backbone for day-to-day account engagement. You will work in a one-to-many model, partnering with multiple CSMs and supporting approximately 30–50 customer accounts. Your focus will be on answering technical questions, advising on best practices, and helping customers
More from the job description

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a Technical Customer Success Specialist to support our Customer Success Managers (CSMs) by providing deep technical expertise across a portfolio of enterprise customers. This role is designed to scale technical knowledge across the Customer Success organization and act as a technical backbone for day-to-day account engagement. You will work in a one-to-many model, partnering with multiple CSMs and supporting approximately 30–50 customer accounts. Your focus will be on answering technical questions, advising on best practices, and helping customers successfully design, operate, and optimize conversational AI solutions built on the Cognigy platform. This role sits at the intersection of Customer Success, Product, and Conversational AI expertise. How will you make an impact? 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 [... source excerpt omitted ...] priate, directly from customers Serve as an escalation point for complex “how does this work” or “how should we do this” questions Conversational AI & Platform Expertise 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 Contact Center & Enterprise Context Support customers operating conversational AI solutions within contact center environ [... source excerpt omitted ...] conversation behavior, routing, and experience design Collaboration & Feedback Loop 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 Scale & Efficiency 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 Have you got what it takes? 3–5 year

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