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Tech Lead Manager - TikTok LIVE Foundation Ecosystem

TikTok

Tech Lead Manager - TikTok LIVE Foundation Ecosystem

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$208,800 - $438,000

Benefits & Perks

401(k) matching

Team events and activities

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental leave

Healthcare

Parental Leave

Required Skills

Python

TypeScript

React

Responsibilities

We are looking for passionate and talented engineers to join us to build up and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming at Tik Tok. We will be deeply involved in the developmental lifecycle of critical product features, and collaborate closely with product managers to deliver the best live streaming experience for live streamers and viewers.

About Tik Tok Live

  • Foundation Ecosystem Team

  • Tik Tok Live

  • Foundation Ecosystem Team engineering team is the critical team which takes the responsibility of building the backbone system for delivering creators' live broadcasting to hundreds of millions of users, collaborating with recommendation algorithms & safety algorithms to guarantee our content's best quality, and thus delivering joy and happiness to our globally wide users and creators.

In here you will participate in providing technical solutions for live broadcast business scenes, optimize various business indicators and create good user experience and great content ecology system for the greater good. Every line of your code affects hundreds of millions of users. Every feature you build will be used by hundreds of millions of people.

You will:

  • Play a critical role in planning and leading large-scale technical projects to lay the foundation for the iterative development and scale of early products.
  • Participate in developing robust, efficient technology products that serve 1 billion users.
  • Be a key member in improving architecture to ensure high stability and performance.
  • Be a key member in combining strategy power and engineering power together to achieve a better content eco-system.
  • Be involved in researching and applying cutting-edge domain and technical knowledge into products which could benefit worldwide Tik Tok users.

Qualifications

Minimum Qualifications

  • Large scale client-facing industry project development experience.
  • Proficient in at least one of the following languages: Go, Python, Java, C++.
  • Able to work closely with diverse stakeholders and have good communication skills.
  • Self-driven, positive, cooperative and possesses a growth mindset.

Preferred Qualifications

  • BS/MS Degree in Computer Science or related major.
  • 5+ years of experience in high scalable, highly available, distributed and mission-critical systems.
  • 2+ years of experience in a technical leadership role and people management is required.
  • Experience with multicultural management is highly valued and considered.
  • Experienced in industry level understanding of risk control strategy.

Compensation

The base salary range for this position in the selected city is $208,800 - $438,000 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.

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

Mid/L4

Mid/L4 · 2D 3D Artist

1 reports

$195,000

total / year

Base

$150,000

Stock

-

Bonus

-

$195,000

$195,000

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