About this role
Remote (US) Marketing AI Intern at G2 is a hands-on position that suits students pursuing a degree in marketing, business, communications, or a related field who want to help marketing teams build AI fluency. This role supports marketing leadership in turning an AI adoption roadmap into measurable progress.
Role Overview
The Marketing AI Intern works directly with marketing leadership at G2, the world's largest software marketplace. Located remotely within the US, the intern helps teams transition from individual AI experimentation to embedding AI into daily workflows and cross-functional operations. This position involves executing adoption roadmaps, maintaining self-assessment tools, analyzing assessment data, and supporting training initiatives.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
G2 is the world's largest and most trusted software marketplace, having joined forces with Capterra, SoftwareAdvice, and GetApp to create a centralized data source for software insights in the age of AI. Guided by its PEAK values of Performance, Entrepreneurship, Authenticity, and Kindness, G2 fosters a value-driven, global community that supports diversity, equity, inclusion, and philanthropic initiatives.
How to Apply
Apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the compensation for the Marketing AI Intern role?
The position pays $24 per hour.
Where is the job located?
The role is Remote (US).
What educational background is required?
Candidates must be currently pursuing a degree in marketing, business, communications, or a related field.
What level of AI familiarity is expected?
Applicants need working AI fluency with regular, hands-on use of tools like ChatGPT or Claude across different tasks, along with familiarity with the AI tools landscape.
What are the primary responsibilities of this internship?
Responsibilities include executing adoption roadmap deep-dives, tracking stage progression, supporting cross-team enablement, maintaining self-assessment tools, and contributing to a 12-session AI fluency curriculum.
