Intern

Company Description
GoMarble AI is an AI-powered agent built for paid media marketers, helping teams understand and act on their performance data quickly and clearly. The platform connects to tools such as Meta Ads, Google Ads, GA4, and Shopify, with additional integrations like LinkedIn and TikTok on the way. GoMarble AI answers questions in plain language, runs root cause analyses, highlights performance shifts, and recommends next-best actions. It also analyzes ad creatives visually to identify what is driving results and opportunities for testing. Users can create polished, automated reports on a custom schedule to deliver insights to internal stakeholders or clients.

Role Description
This is a part-time, remote Internship role at GoMarble AI. The Intern will support day-to-day operations by assisting with data analysis, product research, and documentation related to paid media performance and AI-driven insights. Responsibilities may include helping prepare reports or dashboards, organizing and validating data from advertising and analytics platforms, and contributing to internal knowledge bases or guides. The Intern may also collaborate with team members on testing new features, gathering user feedback, and suggesting improvements to workflows and user experience. This role is designed to offer hands-on exposure to AI tools for marketing and a fast-paced startup environment.

Qualifications

• Strong analytical and problem-solving skills, with the ability to interpret performance trends and surface meaningful insights.
• Interest in digital marketing or paid media, including familiarity with platforms such as Meta Ads, Google Ads, or other online advertising tools (coursework or self-study accepted).
• Comfort working with data, spreadsheets, and dashboards; experience with GA4, Shopify, or similar analytics tools is a plus.
• Clear written and verbal communication skills, including the ability to summarize findings and document processes for technical and non-technical audiences.
• Self-motivated, organized, and comfortable working independently in a remote, distributed team environment.
• Currently pursuing or recently completed a degree in a relevant field (e.g., Marketing, Business, Data Science, Computer Science, or a related discipline) or equivalent practical experience.
• Curiosity about AI, automation, and experimentation, with a willingness to learn new tools and adapt to changing priorities.