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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Customer Success Specialist - **Company:** NICE Ltd. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Training Data, Computing Platforms, Chatbots, Large Language Models, Generative AI, Backend, Virtual Agents, Natural Language Understanding - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/technical-customer-success-manager-conversational-ai-or-agentic-ai-nice-7830784 ## About the Role * 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 Technical Expertise * 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 Personal Attributes * Structured, organized, and comfortable juggling multiple customers and priorities * 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 You will have an advantage if you also have: * Hands-on experience with enterprise conversational AI platforms * Familiarity with Cognigy or similar products * Experience working with voice automation and CCaaS integrations ## Description 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, where appropriate, 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 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 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 ## Related Videos - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Got AI ideas but no money? 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