Dance4Healing
Business, Marketing and Media Intern with GenAI, Vibecoding, communication & leadership training
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Job Description
Media, Marketing & Business (Sales) Intern – Remote with communication, leadership & GenAI training
Apply here: https://dub.sh/D4H_Internship *Only applications submitted through this link will be reviewed.*
About Dance4Healing
Dance4Healing is an award-winning, NIH-funded social impact startup building a patented AI telehealth platform that leverages Arts & Health practices (music, dance, and creative movement) to reduce isolation, improve mental and physical health, and make healthy habits accessible, supportive, and fun.
Inspired by founder Amy Li’s recovery from Stage IV cancer, Dance4Healing serves older adults, caregivers, and people living with chronic disease. Our work is informed by training and collaborations connected to Stanford University and Harvard Medical School, and supported through NIH-funded research initiatives.
Our social impact and business model is grounded in Oxford Mutual Value Labs, an executive program at the University of Oxford focused on building ventures that create shared value across communities, institutions, and markets. This framework shapes how we design storytelling, partnerships, and growth strategies for long-term, scalable impact—not short-term engagement.
This is a 100% remote internship with an international cohort of students and early-career professionals.
Why This Internship Is Different
This is not a traditional marketing or sales internship.
In addition to hands-on work, interns receive
- Communication and leadership training
- Structured accountability and goal-setting
- Mentorship and coaching from experienced founders, researchers, and operators
- Exposure to real NIH-funded health and media initiatives
- Experience building mission-driven growth strategies—not vanity metrics
Generative AI & Vibecoding Exposure
Interns gain exposure to Generative AI, content automation, and vibecoding concepts, informed by the founder’s participation in Stanford’s AI &
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