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Product Operations Manager (LLM) - TikTok Minor Safety (San Jose)

TikTok

Product Operations Manager (LLM) - TikTok Minor Safety (San Jose)

TikTok

San Jose, CA

·

On-site

·

Full-time

·

2mo ago

보상

$88,000 - $202,667

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Tik Tok

Product Operations Manager (LLM) - Tik Tok Minor Safety (San Jose)

1 month ago• San Jose, CA
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

  • Size: 5001-10000 employees
  • Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

About the team
Tik Tok Content Ecosystem team's goal is to ensure that Tik Tok is safe and welcoming for everyone, including minors. This encourages creators to create good content, and improves user satisfaction in the long run. We also work with the recommendation and personalization team to tailor the feed to everyone's interests, with a goal to make our users happier. This goes towards Tik Tok's mission of inspiring creativity and bringing joy. We're looking for seasoned Product Managers and leads, who can understand the quality issues in various markets, understand external factors including government regulations, and deliver on improving quality for Tik Tok feed.

Responsibilities:

  • Own model strategy and operations for Tik Tok Minor Safety, working closely with cross-functional teams to participate in the end-to-end process of model design, optimization, training, and evaluation. Identify performance gaps and vulnerabilities in models, and propose effective actions to continuously improve model quality.
  • Participate in the full data production lifecycle, including defining dataset standards, executing model evaluations, and ensuring high-quality data delivery.
  • Explore and adopt the latest Large Language Model (LLM) tools to continuously optimize data production workflows and processes, improving efficiency and scalability. Stay up to date with industry trends to help build more intelligent and efficient data systems.

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  • Research emerging model training methodologies from both academia and industry, identify weaknesses in existing training data, and propose innovative solutions to improve data generalization, production efficiency, and coverage.

Qualifications:

  • Minimum Qualification(s)

  • Relevant work experience with a Bachelor's or Master's degree or above in Computer Science, English, Statistics, Philosophy, or related fields.

  • Solid foundational understanding of machine learning, including Large Language Models (LLMs) and Transformer architectures.

  • Strong project management and operational skills, with a good understanding of end-to-end project workflows. Ability to collaborate efficiently in cross-functional teams and communicate effectively with both technical and non-technical stakeholders.

  • Preferred Qualification(s)

  • Experience in Trust & Safety, content moderation, or familiarity with content safety compliance requirements is a strong plus.

  • Hands-on experience in data analysis or model optimization is preferred.

Job Information:

For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $88000 - $202667 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; and

  3. Exercising sound judgment.

Client-provided location(s): San Jose, CAJob ID: Tik Tok-7585674229036108085Employment Type: OTHERPosted: 2025-12-22T20:10:23Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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Next Up Tik Tok Client Provided Video 101:20

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Linkhttps://cdn.jwplayer.com/previews/LVcpvjZACopied

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More Videos

  • 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
  • Limitless Possibilities01:41Working at Tik Tok
  • Women's Community01:31Working at Tik Tok
  • Women's Empowerment01:45Working At Tik Tok
  • BLXCK01:27Working at Tik Tok
  • Diversity, Equity and Inclusion with BLXCK
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총 지원 클릭 수

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모의 지원자 수

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스크랩

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TikTok 소개

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.7

문화

4.1

커리어

3.2

경영진

2.9

68%

친구에게 추천

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

연봉 정보

49개 데이터

Senior/L5

Senior/L5 · AI PRODUCT MANAGER

1개 리포트

$390,013

총 연봉

기본급

$300,010

주식

-

보너스

-

$390,013

$390,013

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit