Marketing AI Intern

G2
$24 - $24

About The Position

G2 is the world's largest and most trusted software marketplace, now expanded with Capterra, SoftwareAdvice, and GetApp to become the largest source of online data and software insights. The company aims to transform the global B2B software industry by becoming the most trusted data foundation for buyers and sellers of software in the age of AI. G2 is driven by its PEAK values: Performance, Entrepreneurship, Authenticity, and Kindness, fostering a value-driven, growing global community. The company emphasizes DEI and philanthropic work through initiatives like G2 Gives. This internship focuses on an organization-wide initiative to build AI fluency across all marketing functions, from brand and creative to demand generation, content, product marketing, operations, social media, SEO, and project management. The intern will work directly with marketing leadership to drive measurable progress in AI adoption, helping teams move from individual experimentation to embedding AI in daily workflows and contributing to cross-functional tools. The role requires someone energized by open-ended problems, capable of identifying vague signals and translating them into concrete hypotheses and tests, demonstrating curiosity, initiative, and a genuine interest in problem-solving.

Requirements

  • Strong written and verbal communication skills.
  • Demonstrated interest in AI tools and workflows — coursework, personal projects, or hands-on use count.
  • Organized, self-directed, and comfortable working across multiple workstreams and keeping projects on track with guidance from a manager.
  • Analytical mindset — comfortable interpreting assessment data and summarizing insights and recommendations for leadership.
  • Currently pursuing a degree in marketing, business, communications, or a related field.
  • Working AI fluency already in hand — regular, hands-on use of tools like ChatGPT, Claude, or similar across different tasks, not just casual or occasional use.
  • Working familiarity with the AI tools landscape — able to speak to the differences between general-purpose assistants, specialized tools, and emerging agentic workflows.
  • Eagerness to learn how AI tools apply differently across marketing functions like SEO, creative, and marketing ops, and ability to think concretely about workflow applications.

Nice To Haves

  • Experience with Google Sheets/Apps Script, Chart.js, or basic data dashboards.
  • Familiarity with marketing functions (content, demand gen, social, SEO, etc.) and how AI applies differently across them.
  • Prior internship or project experience involving training, enablement, or cross-functional projects.
  • Comfort with ambiguity — this role involves building playbooks as much as following them.

Responsibilities

  • Recommend and draft Stage 1 deep-dives for remaining marketing functions, following the established starter/advanced prompt-pair and before/after time-savings format, with review and sign off from marketing leadership.
  • Validate use cases with team leads and get sign-off on deep-dive content.
  • Apply the roadmap's diagnostic "you're here when" signals and unlock conditions to identify what's blocking teams from reaching Stage 2, bringing findings to marketing leadership for prioritization.
  • Work with team leads to support embedding AI workflows into standard practice, not just one-off experimentation.
  • Track progress through self-assessment score movement and draft case studies as proof points for leadership review.
  • Support leadership in identifying the team(s) with the highest readiness to advance to stage 3 by analyzing assessment data and surfacing readiness signals.
  • Contribute to scoping and help execute a cross-team tool or shared workflow with an adjacent function, under the direction of marketing leadership.
  • Document lessons learned into a repeatable playbook for future teams.
  • Support ongoing maintenance of the self-assessment tool and results dashboard.
  • Help design objective test questions to complement self-reported scores and counteract known self-assessment inflation.
  • Contribute to building out session materials for the 12-session AI fluency curriculum.
  • Help coordinate rollout logistics and gather feedback for iteration.
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