refresh

Trending Companies

Trending

Jobs

JobsTikTok

Music Product Counsel - Global Legal

TikTok

Music Product Counsel - Global Legal

TikTok

New York, NY

·

On-site

·

Full-time

·

1mo ago

Compensation

$140,000 - $319,200

Benefits & Perks

Team events and activities

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

Generous paid time off and holidays

Healthcare

Equity

Required Skills

TypeScript

React

JavaScript

Responsibilities

About the team:

The Global Music Legal team supports all music-related business of the company.

  • You will be a principal point of contact on the Global Music Legal team for various internal stakeholders, including Product and AI research teams, which are responsible for AI-related initiatives. You will work collaboratively with members of the Global Music Legal, Global Legal-IP-Copyright and Global Legal-AI teams to assess potential music rights issues and other risk implications of AI-related initiatives, and provide risk mitigation guidance and recommendations.
  • You will liaise with internal legal subject matter expert teams, and external counsel, as needed.
  • You will work with cross-functional partners on the Music Content Solutions, Public Policy and Product Policy teams to administer AI-music related platform policies and compliance with contractual and other legal obligations.
  • You will be responsible for monitoring and informing your colleagues on the Global Music Legal team and internal stakeholders, including Product and Business Development teams, of legal developments and trends in the rapidly evolving AI music space, including state and federal legislation in the U.S. and regulations and lawsuits globally.

Qualifications

Minimum Qualification(s)

  • Bachelor's degree plus a Juris Doctorate from an ABA-accredited law school and member in good standing of a U.S. state bar with experience in private law practice or in-house, providing product counseling for a technology company or application
  • Subject matter expertise in artificial intelligence, machine learning practices and underlying technology
  • Excellent communication skills and strong interpersonal and organizational skills
  • Ability to work independently on many different projects at once in a dynamic, fast-paced environment
  • Experience working collaboratively and cross-functionally with international teams, with tight turn-around times and deadlines
  • Entrepreneurial, business-enabling, risk-tolerant mindset, flexible, self-starting, hard-working, with a willingness to work across multiple time zones, outside of normal business hours in your home territory
  • Strategic thinker with a pragmatic, creative, risk-based approach to problem-solving, comfortable dealing with uncertainty and ambiguity

Preferred Qualification

  • Experience leveraging operational teams and technologies to drive process implementations and improvements

Compensation and Benefits

Compensation Description (annually)

The base salary range for this position in the selected city is $140,000 - $319,200 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
  • 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.

Important 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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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