AI Customer Success Intern

This position is a hybrid role open to candidates in the greater Tampa Bay area. This position will require the intern to work in our Clearwater, FL office 4 days a week.

Dates of Program: January 25th, 2027 - April 16th, 2027 (12 weeks)

Application Dates: You should apply as soon as possible but understand that because of our large pool of applicants, the selection process can take a few months. We strive to create a diverse group of interns as we feel that it improves the overall internship experience.

Attention: This is a paid internship. Please note that the intern would be responsible for relocation (if needed) and lodging for the duration of the internship.

Internship Program Details: Join the best internship program around! Interns get unique insight into the minds of the CEO and senior executives during Ask Me Anything sessions. Interns will receive company training, onboarding, and professional development workshops to help transition into the workplace. Interns will also engage in team-building activities and awesome socials. For more information on the internship program, visit www.knowbe4.com/careers/internships.

The AI Customer Success Intern is a 3-month internship that combines domain knowledge and AI integrations. The intern supports the Customer Management team in delivering a great customer experience and helping customers adopt and realize value from KnowBe4’s security awareness training and phishing simulation platform. The role combines learning how customer success works with building, testing, and maintaining AI workflows that make that work faster and more accurate.

You’ll work alongside Customer Management leads, Customer Success Managers (CSMs), and the GTM Engineer (Customer Success) to build AI workflows like Exec Sponsor briefs, health and engagement signals, adoption scorecards, and onboarding reporting, and to support rollout to the team.

Key Responsibilities:

Learn to build and support AI workflows for Customer Management, including Exec Sponsor briefs, health and engagement signals, adoption scorecards, and onboarding scorecards. Prototype prompts, skills, and small scripts, and keep them running after launch.

Assist and test AI outputs before CSMs rely on them. Build test sets from real accounts, check outputs against source data in Salesforce, ChurnZero, and Snowflake, log errors, and fix them.

Translate customer success knowledge into AI requirements. Work with CSMs and Customer Management leads to define what a good output looks like for adoption, health, and engagement, then turn it into prompts or logic.

Leverage KnowBe4 assessments and reporting to support adoption insights, including participation rates, phishing outcomes, training completion trends, and retention trends. Keep internal trackers and dashboards current, and escalate risks or blockers to the assigned CSM.

Document best practices and AI assets. Maintain runbooks, prompt versions, data definitions, and templates. Compile and share approved KnowBe4 resources and rollout steps, and support AI Champions as they adopt the workflows.

Minimum Qualifications:

Currently pursuing or recently completed a diploma/degree in Computer Science, Data Analytics, Business, Information Systems, or a related field

Hands-on use of an AI assistant for real work, and interest in prompt design

Basic SQL or Python

Comfortable with spreadsheets and documents (Excel/Google Sheets; Word/Google Docs)

Familiarity with email and collaboration tools (Gmail, Google Workspace)

IT experience/exposure is a plus

Strong verbal and written communications

Organized, detail-oriented, and able to manage multiple tasks with guidance

Curious, coachable, and comfortable working in a team environment

Able to explain AI outputs and their limits to non-technical stakeholders

Comfortable checking AI outputs against source data

Preferred Qualifications:

Interest in AI, SaaS, or customer-facing roles

Exposure to CRM tools (e.g., Salesforce) and customer success platforms (e.g., ChurnZero)

Experience building with an LLM API, Claude, or a no-code automation tool

Exposure to MCP connectors or API integrations

Experience on projects involving customer support, onboarding, training, or account management (school, part-time, or internships)