Jobs

Policy Specialist, Ads and Monetization - Platform Policy, Trust & Safety
New York, NY
·
On-site
·
Full-time
·
3d ago
We are seeking an outstanding Policy Specialist to join our growing Trust & Safety team. As a Policy Specialist for the Monetized Policy team, you will play a key role in how we define, enforce, and communicate our stance on advertising and monetization policy issues that impact users, creators, and advertisers across music, podcasts, and user-generated content.
You will lead cross-functional efforts to improve policies and enhance Spotify advertising and monetization products. You will work with cross-functional teams to align on priorities and deliver innovative solutions to address the emerging issues facing users online. You are a problem solver who excels in a fast paced environment, can create structure in ambiguous spaces, and can influence teams to drive solutions.
This position is based in New York City, Los Angeles, or Remote US.
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About Spotify

Spotify
PublicSpotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.
5,001-10,000
Employees
Stockholm
Headquarters
$23B
Valuation
Reviews
4.1
10 reviews
Work-life balance
3.8
Compensation
4.2
Culture
4.3
Career
3.9
Management
2.8
78%
Recommend to a friend
Pros
Flexible working hours and remote options
Great team culture and collaborative environment
Innovative projects and creative freedom
Cons
High workload and performance pressure
Fast-paced environment can be overwhelming
Management issues and disorganization
Salary Ranges
17 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Associate Data Scientist
0 reports
$142,458
total per year
Base
-
Stock
-
Bonus
-
$121,089
$163,827
Interview experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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