Lead Safety Product Manager – Content Moderation & ML

TikTok; San Jose (CA); On-site; USD 151,000 - 295,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Job summary

TikTok’s Safety Product team leads the development of content safety systems, leveraging data and ML to improve review efficiency, risk control, and user trust. You will drive complex projects, define roadmaps, and collaborate across the company to deploy scalable safety solutions.

The role emphasizes building scalable recommendation and moderation strategies to keep users safe, working closely with policy and cross-functional partners to deliver impact.

Qualifications

• Familiarity with recommendation strategies; experience in content safety/governance is a plus.
• Ability to design product solutions based on evidence and deliver value-adding changes.
• Strong project management and cross-functional leadership to unite teams.
• Ability to analyze processes and improve quality and user experience.

Responsibilities

• Drive complex projects independently and define the safety product roadmap with success metrics.
• Focus on scalable recommendation and moderation strategies for a safe user experience.
• Leverage data analysis, ML, or NLP to identify risky content and create strategies.
• Collaborate with policy and cross-functional teams to prioritize and execute initiatives.

Skills

Recommendation strategy

Product management

Evidence-based design

Project management

Process improvement

Education

Bachelor's degree

Job description

TikTok’s Safety Product team leads the development of content safety systems, leveraging data and ML to improve review efficiency, risk control, and user trust. You will drive complex projects, define roadmaps, and collaborate across the company to deploy scalable safety solutions.

The role emphasizes building scalable recommendation and moderation strategies to keep users safe, working closely with policy and cross-functional partners to deliver impact.