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JobsTikTok

Senior Product Manager, Performance Ads

TikTok

Senior Product Manager, Performance Ads

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$165,120 - $414,000

Benefits & Perks

Competitive base salary and bonus

Stock options or RSUs

Comprehensive benefits

Generous vacation

Professional development

Team events

Learning

Required Skills

Figma

Mixpanel

Amplitude

Responsibilities

Tik Tok is shaping the future of advertising and e-commerce on one of the world's leading platforms. The Tik Tok Web Ads and Open-Loop E-Commerce team, part of the Tik Tok Monetization Product organization, is looking for a senior Product Manager, dedicated to building innovative advertising products for web ads and e-commerce clients. Our vision is to make Tik Tok the world-class platform for advertisers within these verticals by designing product solutions that drive their business growth within Tik Tok.

  • Focus on needs of large advertisers to build custom/bespoke products and adding features to improving existing products
  • Drive revenue growth from top marketplaces for web ads and e-commerce clients on Tik Tok by developing highly scalable machine learning products
  • Collaborate with cross-functional teams to design and implement end-to-end solutions, from product conception to launch to ongoing optimization.
  • Analyze business challenges, identify client pain points, and prioritize product features to enhance advertiser activation, retention, and ARPA (average revenue per advertiser).
  • Lead the development of ad solutions that prioritize product-matching strategies to deliver a higher return on ad spend (ROAS) for clients.
  • Ensure compliance with user privacy regulations and promote responsible use of advertising signals.
  • Work closely with Targeting, Attribution, Optimization, Insights, and other teams to leverage signals and enhance advertising performance products.

Qualifications

Minimum Qualifications

  • Bachelor's degree in Computer Science, EE, Mathematics, or Statistics.
  • 5+ years of product management experience within ad tech, with additional relevant technical experience.
  • Expertise in the ads ecosystem, preferably in delivery systems, with experience in taking products through the software development lifecycle.
  • Strong leadership experience within a fast-growing company, with a track record of defining vision, strategy, and roadmap for advertising products.
  • Ability to work effectively with highly technical teams and drive impact in a diverse global environment.
  • Excellent communication, organizational, and analytical skills, with a proven ability to work cross-functionally in a collaborative setting.

Preferred Qualifications

  • MBA or other advanced degree.
  • Experience and interest in working in a fast-paced or startup environment.
  • Strong understanding of e-commerce and web advertiser needs.
  • Proficient in English and Mandarin listening, speaking, reading and writing. Cross-cultural working/studying experience is preferred. Both English and Mandarin skill sets will help you to evaluate case analysis and investigations.

Compensation

The base salary range for this position in the selected city is $165,120 - $414,000 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, 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.

Additional Information 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.

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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

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