KnowBe4

KnowBe4

AI Customer Success Intern

Clearwater, Florida · Intern · Internship

Sponsorship not specifiedDetected 1 day ago
PythonSQLSnowflakeData AnalysisLLMsAgentic AISalesforceCRMAccount ManagementExcelCustomer SuccessCustomer SupportCommunicationCollaboration

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odds of building a lasting career here

35Risky
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • KnowBe4 empowers the modern workforce to make smarter security decisions every day.
  • Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans.
  • This position is a hybrid role open to candidates in the greater Tampa Bay area.

Responsibilities

  • 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.
  • Leverage KnowBe4 assessments and reporting to support adoption insights, including participation rates, phishing outcomes, training completion trends, and retention trends.
  • 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.
  • By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense.
  • Interns will also engage in team-building activities and awesome socials.

Requirements

  • Currently pursuing or recently completed a diploma/degree in Computer Science, Data Analytics, Business, Information Systems, or a related field
  • Familiarity with email and collaboration tools (Gmail, Google Workspace)

Nice to have

  • Interest in AI, SaaS, or customer-facing roles
  • Exposure to CRM tools (e.g., Salesforce) and customer success platforms (e.g., ChurnZero)
  • Exposure to MCP connectors or API integrations
  • No recruitment agencies, please.
  • IT experience/exposure is a plus

Benefits

  • Learn to build and support AI workflows for Customer Management, including Exec Sponsor briefs, health and engagement signals, adoption scorecards, and onboarding scorecards.
  • 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.
  • The role combines learning how customer success works with building, testing, and maintaining AI workflows that make that work faster and more accurate.

Company info

  • Note: An applicant assessment and background check may be part of your hiring procedure.
  • We strive to create a diverse group of interns as we feel that it improves the overall internship experience.
  • 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.

Visa & Work Authorization

  • gement 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

This listing is sourced directly from KnowBe4's careers page and normalized into a canonical job model.