CX Knowledge Base & Conversational AI Manager
About this role
Role Overview
The CX Knowledge Base & Conversational AI Manager at Ashley Digital is a remote position based in the United States that oversees the performance, design, and optimization of customer-facing AI and knowledge management systems. This role suits a strategic and analytical professional who wants to shape digital interactions for a major e-commerce home furnishings brand.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Ashley Digital functions as the e-commerce engine behind Ashley Furniture Industries, recognized globally as a leading manufacturer and store brand for home furnishings. The company operates a collaborative, fast-moving team culture that merges the innovation and energy of a technology business with the stability of a major industry leader.
How to Apply
Interested candidates should visit the official Ashley Digital careers page or website to submit their application for consideration.
Skills and tech stack
Questions candidates ask
Is this position fully remote?
Yes, this is a remote role, though applicants must reside and maintain work authorization within the United States.
What is the salary range for the CX Knowledge Base & Conversational AI Manager?
The salary for this position ranges from $90,000 to $110,000 per year, depending on background, experience, qualifications, and geographic location.
What tools and platforms will I need experience with?
The role requires familiarity with tools like Intercom Fin or similar AI platforms, BI reporting platforms such as Looker or Tableau, and enterprise knowledge base tools like Notion.
What benefits are provided with this job?
Benefits include health, dental, and vision insurance, HSA contributions, a 401(k) with company match, flexible paid time off, wellness benefits, technology stipends, and a free mattress.
How many years of experience are required?
Candidates must have five or more years of experience in LLM prompting, conversation design, UX writing, linguistics, or related customer success operations.