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LLM Operation Manager - TikTok LIVE

TikTok

LLM Operation Manager - TikTok LIVE

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$88,000 - $202,667

Benefits & Perks

Team events and activities

Flexible work arrangements

Professional development budget

Generous paid time off and holidays

401(k) matching

Comprehensive health, dental, and vision insurance

Flexible Hours

Learning

Healthcare

Required Skills

JavaScript

Python

PostgreSQL

About Our Team

Tik Tok LIVE is a fast-growing platform that enables real-time interactive content experiences, connecting creators and audiences worldwide. Our mission is to create a safe, engaging, and high-quality live-streaming ecosystem that fosters creativity and community building.

The LIVE Ecosystem Governance team plays a crucial role in ensuring platform integrity by designing product strategies, moderation mechanisms, and governance solutions to support sustainable growth. As a Product Manager, you will help develop governance tools, optimize ecosystem strategies, and drive cross-functional collaboration to enhance live-streaming experiences.

At Tik Tok LIVE, you'll work on real-world governance challenges at a global scale, collaborate with top industry experts, and contribute to shaping the future of live-streaming. This role provides hands-on product management experience and opportunities for career growth in the content governance and online community safety space.

Responsibilities

  • Responsible for model strategy operation related to Tik Tok live streaming business governance. Gain a thorough understanding of the business model, launch and maintain models and related rules, and analyze and take charge of the effectiveness of model strategies.
  • Identify problems and develop solutions through data and case analysis, then collaborate with other departments to systematically promote the implementation of solutions.
  • Establish a sound evaluation mechanism, provide reasonable assessment results for the current status of online strategies in Tik Tok live streaming business, develop indicators, and do a good job in data operation and data asset management.
  • Be sensitive to cutting-edge technologies, understand model principles, have basic iteration ideas, and be familiar with various sample production schemes.

Qualifications

Minimum Qualifications

  • Bachelor's degree or above, with at least 3 years of relevant work experience; experience in content ecology governance, operation rule formulation, governance strategy development, or model-related work is required.
  • Good data analysis ability, proficient in using data analysis to identify and explore problems.
  • Clear logic, good at communication, strong organizational and coordination skills, excellent writing skills, and a strong sense of purpose.

Preferred Qualifications

  • Passionate about content products.
  • Project management experience.
  • Able to grasp various demands and integrate resources to achieve cross-departmental cooperation.

Compensation & Benefits

The base salary range for this position in the selected city is $88,000 - $202,667 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.

Los Angeles County Fair Chance 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:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  • Exercising sound judgment.

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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

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

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