Client Experience AI Enablement Lead
Client Management/Client Success
Lubbock,
Texas
Billings,
Montana
Pittsburgh,
Pennsylvania
Salary: USD 52000 - 70000 Annually
Description
The Client Experience Artificial Intelligence Enablement Lead supports the Client Experience organization by leveraging AI, data, and knowledge systems to improve how client-facing teams operate and how clients access information.This role plays a key part in embedding AI into the Client Experience model—enhancing how content is created, how support is delivered, and how clients engage with knowledge resources such as community, chatbot tools, and documentation.Working across Client Experience Managers (CXMs), Support, and Client Engagement & Adoption functions, the Lead improves operational visibility, strengthens system utilization (CRM, Gainsight, Jira), and scales how knowledge and guidance are delivered across the client lifecycle.Success in this role means AI is effectively used to reduce friction, improve consistency, and enable both clients and internal teams to operate more efficiently and confidently.ResponsibilitiesUtilize AI tools (e.g., Claude, Bedrock) to improve internal workflows, documentation, and reporting processesDevelop and maintain templates and prompt libraries to support consistent, efficient content creationIdentify repetitive operational tasks and implement AI-assisted solutions to improve efficiencyAnalyze case trends, client interaction data, and engagement activity to identify patterns and operational insightsDeliver AI capability to provide visibility into client behavior, time sinks, and recurring issues to inform leadership decision-makingLeverage AI to automate creation and maintenance of internal documentation, including process guides, playbooks, and templatesEnable consistency in how teams document client interactions, workflows, and operational practicesThe incumbent must be able to:Analyze data and translate findings into actionable operational improvementsBalance multiple priorities across teams and functionsLearn and apply new tools, including AI platforms, to improve workflowsCommunicate clearly with cross-functional stakeholdersWork independently while maintaining strong attention to detailQualificationsBachelor’s degree in Business, Analytics, Information Systems, or related field (or equivalent experience)2–4 years of experience in prompt engineering, operations, analytics, client success, or support environmentsStrong analytical skills with the ability to identify patterns and trendsStrong written communication skills, particularly in documentation and process definitionProficiency in Microsoft Excel (pivot tables, formulas)Ability to manage multiple tasks in a fast-paced, remote environmentExperience using AI tools to solve complex problems (e.g., Claude, Bedrock, or similar platforms)Experience in SaaS, ERP, or customer support/client success organizationsFamiliarity with CRM systems (e.g., Microsoft Dynamics 365, Salesforce)Experience with reporting tools (e.g., Power BI)Experience supporting knowledge management or process improvement initiativesExposure to workflow automation or AI-assisted documentation
Apply Now
Lubbock,
Texas
Billings,
Montana
Pittsburgh,
Pennsylvania
Salary: USD 52000 - 70000 Annually
Description
The Client Experience Artificial Intelligence Enablement Lead supports the Client Experience organization by leveraging AI, data, and knowledge systems to improve how client-facing teams operate and how clients access information.This role plays a key part in embedding AI into the Client Experience model—enhancing how content is created, how support is delivered, and how clients engage with knowledge resources such as community, chatbot tools, and documentation.Working across Client Experience Managers (CXMs), Support, and Client Engagement & Adoption functions, the Lead improves operational visibility, strengthens system utilization (CRM, Gainsight, Jira), and scales how knowledge and guidance are delivered across the client lifecycle.Success in this role means AI is effectively used to reduce friction, improve consistency, and enable both clients and internal teams to operate more efficiently and confidently.ResponsibilitiesUtilize AI tools (e.g., Claude, Bedrock) to improve internal workflows, documentation, and reporting processesDevelop and maintain templates and prompt libraries to support consistent, efficient content creationIdentify repetitive operational tasks and implement AI-assisted solutions to improve efficiencyAnalyze case trends, client interaction data, and engagement activity to identify patterns and operational insightsDeliver AI capability to provide visibility into client behavior, time sinks, and recurring issues to inform leadership decision-makingLeverage AI to automate creation and maintenance of internal documentation, including process guides, playbooks, and templatesEnable consistency in how teams document client interactions, workflows, and operational practicesThe incumbent must be able to:Analyze data and translate findings into actionable operational improvementsBalance multiple priorities across teams and functionsLearn and apply new tools, including AI platforms, to improve workflowsCommunicate clearly with cross-functional stakeholdersWork independently while maintaining strong attention to detailQualificationsBachelor’s degree in Business, Analytics, Information Systems, or related field (or equivalent experience)2–4 years of experience in prompt engineering, operations, analytics, client success, or support environmentsStrong analytical skills with the ability to identify patterns and trendsStrong written communication skills, particularly in documentation and process definitionProficiency in Microsoft Excel (pivot tables, formulas)Ability to manage multiple tasks in a fast-paced, remote environmentExperience using AI tools to solve complex problems (e.g., Claude, Bedrock, or similar platforms)Experience in SaaS, ERP, or customer support/client success organizationsFamiliarity with CRM systems (e.g., Microsoft Dynamics 365, Salesforce)Experience with reporting tools (e.g., Power BI)Experience supporting knowledge management or process improvement initiativesExposure to workflow automation or AI-assisted documentation
Apply Now