Global Content Ecosystem Policy Operation Graduate (TikTok-Product-Content Ecosystem) - 2027 Start

Responsibilities

TikTok'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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by end of year. Please state your availability and graduation date clearly in your resume.
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.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science, statistics, information management, data science or a related discipline.

Responsibilities:
- Follow content ecosystem trends closely, understand the balance between platform brand, content quality, and user experience, and participate in the development of content ecosystem governance policies;
- Contribute to the development and iteration of policy frameworks and guidelines; analyze execution challenges and gaps in existing policies, propose optimization recommendations, and help ensure policy rationality and enforceability;
- Monitor and review key governance metrics, collect feedback from cross-functional partners, and provide data- and case-driven input for continuous policy improvement through issue analysis and case abstraction;
- Support the implementation and training of ecosystem policies, collaborate with labeling and strategy teams to improve execution consistency, track training effectiveness, and contribute to training program optimization.

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science, statistics, information management, data science or a related discipline;
- Fast learner who is self-motivated and results-oriented;
- Strong logical thinking, with a passion for exploring root causes and solving problems systematically;
- Sensitivity to global content and cultural dynamics, with genuine curiosity about content ecosystem quality, creator fairness, and user experience.

Preferred Qualifications
- Prior internship experience in tech policy, public affairs, content operations, or related fields.
- Experience with or willingness to use AI tools to support analysis and research.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $76000 - $128000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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 including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

TikTok'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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by end of year. Please state your availability and graduation date clearly in your resume.
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.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science, statistics, information management, data science or a related discipline.

Responsibilities:
- Follow content ecosystem trends closely, understand the balance between platform brand, content quality, and user experience, and participate in the development of content ecosystem governance policies;
- Contribute to the development and iteration of policy frameworks and guidelines; analyze execution challenges and gaps in existing policies, propose optimization recommendations, and help ensure policy rationality and enforceability;
- Monitor and review key governance metrics, collect feedback from cross-functional partners, and provide data- and case-driven input for continuous policy improvement through issue analysis and case abstraction;
- Support the implementation and training of ecosystem policies, collaborate with labeling and strategy teams to improve execution consistency, track training effectiveness, and contribute to training program optimization.

Qualifications

Qualifications

Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science, statistics, information management, data science or a related discipline;
- Fast learner who is self-motivated and results-oriented;
- Strong logical thinking, with a passion for exploring root causes and solving problems systematically;
- Sensitivity to global content and cultural dynamics, with genuine curiosity about content ecosystem quality, creator fairness, and user experience.

Preferred Qualifications
- Prior internship experience in tech policy, public affairs, content operations, or related fields.
- Experience with or willingness to use AI tools to support analysis and research.