Conduct AI Quality Assurance Reviews – Evaluate AI-generated responses for accuracy, tone, clarity, and effectiveness to ensure a strong human-centered experience.
Train & Tune AI Tools – Identify response gaps, refine prompts, improve training inputs, and test enhancements to increase AI reliability and performance.
Identify Case Deflection & Knowledge Gaps – Analyze support trends and evaluate our internal agent assist AI performance data to uncover content gaps that limit automation effectiveness.
Enhance Knowledge Base Content – Assist in our knowledge base consolidation, optimization, and content analytics to improve AI accuracy and workflow automation.
Support AI Assist Workflow Enablement – Assist in documenting best practices and helping internal teams improve adoption of agent assist AI workflows.
Analyze Customer Support Processes – Review existing workflows to identify inefficiencies and automation opportunities.
Explore AI in Customer Support – Research and assess AI tools such as workforce management, predictive analytics, and automation to enhance customer interactions.
Collaborate Cross-Functionally – Work with the Customer Support Leadership Team and cross-functional teams to align AI initiatives with customer experience improvements.
Present Key Findings – Summarize insights, propose automation strategies, and deliver a final presentation to leadership with recommendations for AI-driven improvements.

Currently pursuing or recently completed a degree in Business, Communications, Data Analytics, Computer Science, or a related field.
Strong analytical skills with a keen interest in customer experience, process optimization, and technology-driven solutions.
Excellent communication and problem-solving abilities, with the confidence to present findings and collaborate across teams.
A proactive and curious mindset, eager to research, test, and refine customer experience strategies.
Self-motivated and adaptable, able to work independently while taking initiative to drive meaningful improvements.
Interest in AI optimization, knowledge management, or improving human experience through automation tools is strongly preferred.

Hands-on Experience – Work on real projects that enhance customer satisfaction and support operations.
Professional Growth – Develop skills in data analysis, process optimization, and problem-solving.
Meaningful Impact – Contribute ideas that shape customer experience strategies and drive improvements.
Mentorship & Networking – Connect with industry leaders and expand your professional network.
Career Foundations – Gain practical experience to jumpstart a career in CX, tech, or business strategy.

Customer Experience Technology Intern

Key skills