AI Product Manager Graduate (TikTok-Product-Content Ecosystem) - 2027 Start

TikTok Inc.; San Jose (CA); On-site; USD 123,000 - 184,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with match

Parental Leave

Disability Insurance

Life Insurance

Wellbeing Benefits

Holidays & PTO

Job summary

TikTok Inc. is seeking a graduate to join the Content Ecosystem team in California.

You will help drive content understanding, moderation labeling, and multilingual content comprehension across the global platform, collaborating with policy, safety, engineering, and data science teams to shape product roadmaps. Successful candidates should submit availability and graduation date in their resume and be prepared to onboard by year end; compensation includes comprehensive benefits and opportunities

Qualifications

• Bachelor's degree in computer science, statistics, information management, data science or a related discipline.
• 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.

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.

Skills

Cross-functional collaboration

Data-driven decision making

Strong communication

Interest in AI products

Education

Bachelor's degree in CS / related field

Job description

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 the end of the year. Please state your availability and graduation date clearly in your resume.

• 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:

• Individuals who are completing or have recently completed a Bachelor's degree in computer science, statistics, information management, data science or a related discipline.
• 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 (annually)

The base salary range for this position in the selected city is $122574 - $184000 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;
3. Exercising sound judgment.