Intern, AI-Driven Customer Support & Success

Harris Computer; Missouri; On-site; USD 30,307 - 34,440; Full time

Job summary

eScholar is seeking an exceptional Customer Support / Customer Success Intern to rotate across Customer Support, Product Management, and Customer Success. You will learn our products, assist with incident management, and contribute to improving workflows and knowledge sharing.

The role emphasizes data-driven support, collaboration with cross-functional teams, and exposure to AI-enabled productivity tools to enhance reporting and customer outcomes.

Qualifications

• Proficient in SQL and data tooling.
• Experience with BI tools (Power BI, Tableau).
• Familiarity with Python and cloud-hosted apps (AWS/Azure).
• Experience with version control and testing.
• Some exposure to education sector through internships.

Responsibilities

• Work with Support, PM, and Customer Success to learn products and processes.
• Provide technical support and manage issues via incident system.
• Identify ways to improve intake, tracking, reporting, and knowledge capture.
• Participate in testing and improve support workflows and tools.
• Experiment with AI tools and automation to boost reporting and productivity.
• Support customer success activities including materials, follow-ups, and engagement tracking.
• Participate in account reviews, adoption discussions, and cross-functional coordination.
• Gather end-user requirements for data pipelines and reporting.
• Analyze source system data to find data quality issues for ETL.

Skills

SQL

Power BI

Tableau

Python

AWS/Azure

AI tools

Version control

SQL Server

Postgres

Oracle

Documentation

Education sector

Education

BA/BS in CS or related

Tools

AWS

Azure

ETL

Job description

eScholar is seeking an exceptional Customer Support / Customer Success Intern to rotate across Customer Support, Product Management, and Customer Success. You will learn our products, assist with incident management, and contribute to improving workflows and knowledge sharing.

The role emphasizes data-driven support, collaboration with cross-functional teams, and exposure to AI-enabled productivity tools to enhance reporting and customer outcomes.