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Search Ads Product Operations Manager (AI/LLM), AI Data Service and Ops

TikTok

Search Ads Product Operations Manager (AI/LLM), AI Data Service and Ops

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Top Tier compensation with equity

Flexible PTO policy

Remote work flexibility

Parental leave program

Learning and development stipend

Required Skills

PyTorch

Python

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Tik Tok

Search Ads Product Operations Manager (AI/LLM), AI Data Service and Ops

1 week ago• Singapore
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:

The BI Search Ads Operations Team is responsible for the data services and operational support for Tik Tok Search Ads. Our mission is to drive the continuous optimization of Search Ads algorithms and models through scalable and high - quality data production. We aim to maximize the growth of commercial revenue while protecting the user experience, guaranteeing the long - term and sustainable health of the platform ecosystem.

Responsibilities:

  1. End-to-end management of search ads labelling and evaluation projects; accurately interpret user search intent and integrate local cultural context and user behaviour to ensure an excellent online search experience.
  2. Collaborate closely with product and algorithm teams on search strategy optimization; establish evaluation and labelling standards, conduct in - depth case analysis, and continuously drive the improvement of strategies.
  3. Ensure the alignment and effective application of search ads guidelines across different search scenarios, maintaining the accuracy and consistency of evaluation criteria.
  4. Plan and execute various operational initiatives for the search monetization domain; build standardized processes for requirement research and solution design, and cooperate with cross - functional teams to successfully deliver projects.
  5. Explore and implement the application of AI/LLM in data labelling, evaluation, and operational workflows to enhance automation, efficiency, and scalability.

Qualifications:

Minimum Qualification(s):

  1. Bachelor's degree or above
  2. At least 2 years of experience in the technology field; experience in search, monetization, quality evaluation.
  3. Proficiency in English as a working language is required.
  4. Strong project and process management capabilities, with demonstrated experience in managing projects independently; excellent cross-functional team collaboration and communication skills.
  5. Highly data - driven, with robust analytical and data processing skills; proficient in data analysis tools.
  6. Goal - oriented and focused on execution, with the ability to decompose objectives into actionable plans; skilled at synthesizing insights and proactively identifying, proposing, and implementing solutions.

Preferred Qualification(s):

  1. AI/LLM-related applications is preferable. A thorough understanding of trends in the AI/LLM industry is a significant advantage.

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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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  • 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
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  • Diversity, Equity and Inclusion with BLXCK
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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

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

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