Cribl

Remote Customer Advocacy Intern

Application ends:

Cribl is seeking to hire a remote Customer Advocacy Intern in Remote – San Francisco, California. The Hourly rate is $25 – $30. This internship is designed to provide hands-on experience in marketing, process development, program support and exploratory work. You’ll have clear guidance, exposure to the broader team, regular feedback and the opportunity to present your work at the conclusion of the internship.

This is a 12-week internship scheduled for 35 hours per week.

Responsibilities

  • Organize and tag customer stories, quotes, and case study content so field and marketing teams can quickly find the right proof for the right moment.
  • Help repurpose and build customer content into structured snippets, prompts, templates, and other formats that are easier to use in AI and LLM-driven workflows.
  • Clean up and enrich customer reference data in Salesforce, including referenceability status, product, industry, and use case metadata.
  • Analyze key friction points in manual processes to propose and prototype AI workflows for tasks like advocate identification and case study production.
  • Support customer speaker workflows for CriblCon, including tracking, coordination, and materials support.
  • Document and improve workflows so GTM teams can easily request, discover, and activate customer proof in their day-to-day work.
  • Partner across advocacy, marketing, and adjacent teams to help scale customer-led storytelling and advocacy programs.

Qualifications

  • A BA or BS degree from an accredited college or university (graduated in 2026), ideally in marketing, communications, or similar.
  • Strong attention to detail and an instinct for organizing content, systems, and workflows.
  • Excellent written communication skills and an interest in storytelling, content strategy, or customer marketing.
  • Curiosity about how customer voice influences brand, pipeline, and go-to-market success.
  • Comfort working in spreadsheets, systems, and structured processes without losing sight of the bigger story.
  • A collaborative, proactive approach and excitement about learning in a fast-moving environment.
  • Proactive interest in leveraging AI to design and optimize workflows.
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