refresh

Trending Companies

Trending

Jobs

JobsTikTok

Product Policy Manager, LIVE - Trust and Safety

TikTok

Product Policy Manager, LIVE - Trust and Safety

TikTok

New York, NY

·

On-site

·

Full-time

·

1mo ago

Compensation

$96,000 - $217,023

Benefits & Perks

Parental leave

401(k) matching

Competitive salary and equity package

Team events and activities

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental Leave

Equity

Healthcare

Required Skills

Python

JavaScript

TypeScript

Responsibilities

The Trust & Safety Policy team develops and reviews community policies to promote a positive and safe environment for all users and content creators to enjoy and express themselves. As a product policy manager on the Trust & Safety team, you will work with teams of product managers, data scientists, user researchers, operations, legal, and various relevant stakeholders to craft policies for product features and deliver major safety product changes. This position will focus on the LIVE content ecosystem, with an emphasis on incentive-based policies with the goal of positively shaping user behavior. You'll help ensure consistent, high-quality policy creation and enforcement for the unique challenges of monetized livestream content and serve as a key partner in policy development which supports emerging business priorities.

  • Embed monetization context into LIVE policies to address the unique risks of incentivized and financially driven content.
  • Identify and close policy gaps related to gift solicitation, reception, and other monetization features.
  • Drive cross-functional alignment between Trust & Safety Policy and LIVE governance teams to ensure policies are defensible, principled, and consistently applied.
  • Assess and respond to emerging policy and enforcement needs through structured reviews and actionable recommendations of monetized content.
  • Strengthen governance of agency partners through enhanced controls, oversight, and policy enablement.
  • Provide expert guidance and support during high-risk escalations of monetized content.

Qualifications

Minimum Qualifications

  • Bachelor's degree or equivalent practical experience.
  • Experience in policy, trust & safety, risk, or related fields.
  • Experience working with global, cross-functional teams in fast-paced, high-growth environments.
  • Proven ability to analyze complex issues, write policy, and translate them into operational guidance.
  • Experience preparing materials for executive audiences and/or external stakeholders.

Preferred Qualifications

  • Experience working on or with LIVE streaming products or content moderation systems.
  • Deep understanding of global policy issues such as misinformation, election integrity, youth safety, or regulated goods.
  • Experience in policy implementation or enforcement at a technology platform.
  • Strong project management skills and comfort navigating ambiguity in rapidly evolving policy areas.

Compensation

The base salary range for this position in the selected city is $96,000 - $217,023 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

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
  • 401(k) savings plan with company match
  • Paid parental leave
  • Short-term and long-term disability coverage
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays per year
  • 10 paid sick days per year
  • 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.

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Senior/L5

Senior/L5 · AI Product Manager

1 reports

$390,013

total / year

Base

$300,010

Stock

-

Bonus

-

$390,013

$390,013

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures