Product Manager (Content Moderation) - TikTok Safety Product (San Jose)

Responsibilities

About the Team
The Safety Product (or Platform Responsibility)team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.

This role is focused on defining and improving the information environment on TikTok. You will work as a product manager to reduce the prevalence of problematic content and ensure a positive end user experience across your areas including misinformation, hate speech, extremism, AIGC safety, civic integrity.

It is possible that this role will be exposed to harmful content as part of the core role/as part of project/ in response to escalation requests/by chance. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals.

Responsibilities
- Define and drive metrics that reflect end user goals;
- Own ideation, prioritization and execution for your area of TikTok Integrity & Authenticity, driving feature sets end-to-end, including design, build, test, launch, and post-launch;
- Lead cross-functional project teams, building synergy and influence across multiple departments, globally;
- Identify critical problems and opportunities in content safety domains, leveraging AI-driven detection models and ML-powered content moderation to develop dedicated product solutions.

Qualifications

Minimum Qualifications
- Bachelor's degree
- 3+ years of experience as a Product Manager (or possessing the will to rapidly build this experience through your dedication);
- Strong sense of logic and excellent critical thinking skills;
- Evidence-based, analytical, data-informed. (You like to use data to help identify problems, find opportunities, and drive continuous product improvement.);
- Can clearly describe your vision, planning and executional challenges and lead coordination with other teams to co-solve problems in depth.

Preferred Qualifications
- Proven working knowledge of Artificial Intelligence / Machine Learning;
- Proven working knowledge in Trust & Safety;

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $149040 - $311600 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;