AI Product Manager Intern (-Product-Content Ecosystem) - 2027 Summer

Position: AI Product Manager Intern (TikTok-Product-Content Ecosystem) - 2027 Summer
Responsibilities

Tik Tok's Content Ecosystem team is responsible for the health and prosperity of content users and creators to improve DAU in the long term. Our team deeply dives into the following fields: tracking the whole content ecosystem and finding potential challenges and opportunities; cooperating closely with the RD team on model recognition, content understanding, and algorithms, targeting to balance the traffic in different formats, optimize traffic distribution, content diversifications, creator experience of moderation, user experience of interactions, and more problems.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities:

- Drive content understanding and classification across Tik Tok'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:

- Currently pursuing an Undergraduate/Master's in computer science, statistics, information management, data science or a related discipline.

- 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.

Job Information

[For Pay Transparency]Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $35- $35.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information…