AI Product Manager Intern (TikTok Product-Content Ecosystem) - 2026 Summer (BS/MS)

s at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date)

Summer Start Dates:

• May 11th, 2026
• May 18th, 2026
• May 26th, 2026
• June 8th, 2026
• June 22nd, 2026

Responsibilities:

• Drive content understanding and classification across TikTok's global ecosystem, including moderation, labeling, and multilingual content comprehension.
• Improve the accuracy, scalability, and coverage of AI-powered content detection systems to ensure platform safety.
• Collaborate with cross-functional teams (Policy, Trust & Safety, Engineering, Data Science, Operations) to identify gaps and define product solutions.
  Translate business needs and regional requirements into clear product roadmaps and deliverables.
• Build core product capabilities such as multimodal understanding, data pipelines, and annotation tools.
• Define evaluation frameworks (e.g., precision, recall) and run experiments to continuously improve model performance.

Qualifications

Minimum Qualifications:

• Able to commit to working for 12 weeks during Summer 2026
• Currently pursuing an undergraduate or graduate degree
• Interest in AI products, content ecosystems, or online safety.
• Data-driven mindset; comfortable defining metrics and using data to inform decisions.
• Strong communication skills and experience working cross-functionally.

Preferred Qualifications:

• Prior internship experience in AI/ML products, content platforms, or trust & safety domains.
• Familiarity with global markets or cross-cultural environments.