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AI Product Manager Graduate (Live Streaming Safety) - 2027 Start

At TikTok

Posted on Oct 23

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TikTok

AI Product Manager Graduate (Live Streaming Safety) - 2027 Start

SingaporePosted 17 days ago

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

About the Team
The TikTok Safety & Product team is dedicated to building a safe, trusted, and resilient live streaming ecosystem for users, creators, and partners around the world. Based in Singapore, this role sits within an international and cross-functional environment, working closely with Product, Engineering, Algorithms, Moderation, and Operations teams to strengthen platform risk detection and governance capabilities.

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 the end of the 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Participate in safety strategy and product work for TikTok LIVE, analyze content violations, fraud, minor protection, and dangerous behaviors (e.g., distracted driving) within the live streaming ecosystem, and assist in developing and iterating full-lifecycle risk control strategies.
- Help translate safety and moderation requirements into clear product logic and system solutions; contribute to building an end-to-end product loop covering machine-based interception, human review, and user education & appeals.
- Support the development of core safety metrics for LIVE; track key indicators such as recall rate, precision, and user disturbance rate through data analysis, user feedback, and bad-case reviews; drive strategy improvement via A/B testing and other methods.
- Work closely with global operations, legal, communications, algorithm, and engineering teams to help drive cross-departmental projects on schedule.
- Monitor policies, regulations, cultural norms, and user behaviors across different countries and regions; assist in adapting live safety strategies to meet local compliance and localization requirements.
- Stay current with advances in large language models and multimodal technologies; explore AI applications in live safety scenarios including nuanced violation detection, risky content recognition, human review efficiency, and anti-fraud/black-market countermeasures.

Qualifications

Minimum Qualification(s)
- Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Information Management, Public Policy, Law, Communications or a related discipline.
- Clear logical thinking and data acumen; basic data analysis skills required;
- Genuine interest in AI, large language models, and multimodal technologies with an understanding of their fundamentals and applications;
- Strong product thinking, communication and collaboration skills, and project execution mindset; able to quickly understand complex problems and break them down into actionable solutions.

Preferred Qualification(s)
- Strong interest in internet products, live streaming ecosystems, content governance, risk control, or Trust & Safety; solid user empathy and risk sensitivity.
- Familiarity with SQL, Python, or other data tools is a plus.
- Prior coursework, research, competitions, or internships in AI products, content governance, or risk control is a plus.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s)
- Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Information Management, Public Policy, Law, Communications or a related discipline.
- Clear logical thinking and data acumen; basic data analysis skills required;
- Genuine interest in AI, large language models, and multimodal technologies with an understanding of their fundamentals and applications;
- Strong product thinking, communication and collaboration skills, and project execution mindset; able to quickly understand complex problems and break them down into actionable solutions.

Preferred Qualification(s)
- Strong interest in internet products, live streaming ecosystems, content governance, risk control, or Trust & Safety; solid user empathy and risk sensitivity.
- Familiarity with SQL, Python, or other data tools is a plus.
- Prior coursework, research, competitions, or internships in AI products, content governance, or risk control is a plus.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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