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Spotify Content Jobs (NOW HIRING)

Spotify

Legal Counsel - Product

New York, NY

$170K - $243K/yr

Spotify seeks an outstanding, highly-motivated attorney to serve as Legal Counsel, Product. As a ... content, intellectual property, online safety, minor protection, and other legal issues relevant to ...

Spotify

Machine Learning Engineer

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Full Stack Engineer - Podcast

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Full Stack Engineer - Advertising

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Associate Manager, Marketing Science

New York, NY · On-site

$36 - $49.50/hr

Spotify is a leading global music streaming platform that provides over half a billion users with access to an extensive library of songs, podcasts, and audio content. We are looking for a new team ...

Spotify

Machine Learning Engineer

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Associate Manager, Marketing Science

New York, NY

$36 - $49.50/hr

Spotify is a leading global music streaming platform that provides over half a billion users with access to an extensive library of songs, podcasts, and audio content. We are looking for a new team ...

FUGA

... Spotify, Apple Music, YouTube, and TikTok - while helping them get the most from their music ... We are currently looking to grow our Content Operations team with a new team member focused on ...

Spotify

Full Stack Engineer - Podcast

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

Spotify

Senior Backend Engineer - Advertising

Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE ...

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All JobsSpotify Content Jobs

Spotify Content information

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$15

$38

$77

How much do spotify content jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for spotify content in the United States is $38.91, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $45.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Spotify Content position, and why are they important?

To excel in a Spotify Content role, candidates typically need experience in content creation, digital media management, and a strong understanding of music industry trends. Familiarity with content management systems (CMS), audio editing software, and analytics tools is often required, and relevant certifications in digital media or audio production can be advantageous. Creativity, strong communication, collaboration, and attention to detail are important soft skills in this position. These skills ensure the development and curation of engaging content that aligns with platform goals and resonates with Spotify's diverse audience.

What are the main day-to-day responsibilities for someone working in Spotify Content?

Professionals in Spotify Content roles are typically responsible for curating and producing playlists, managing metadata, collaborating with artists or labels, and analyzing listener trends to improve content strategy. They may also work closely with marketing and editorial teams to ensure content aligns with brand initiatives and audience preferences. The role often involves reviewing and approving new releases, creating engaging copy, and maintaining quality across the platform's extensive music catalog. It's a dynamic, fast-paced job that requires balancing creative input with data-driven decision-making.

What is a Spotify Content job?

A Spotify Content job involves creating, curating, managing, or strategizing content for Spotify’s platform. This could include working with playlists, podcasts, editorial content, or partnerships to enhance user engagement and discoverability. Roles in this area may involve data analysis, audience insights, and collaboration with artists, labels, or content creators. The goal is to optimize content for Spotify’s users and improve overall streaming experiences.

More about Spotify Content jobs
What cities are hiring for Spotify Content jobs? Cities with the most Spotify Content job openings:
What are the most commonly searched types of Spotify Content jobs? The most popular types of Spotify Content jobs are:
What states have the most Spotify Content jobs? States with the most job openings for Spotify Content jobs include:
What job categories do people searching Spotify Content jobs look for? The top searched job categories for Spotify Content jobs are:
Spotify Content jobs near you
Infographic showing various Spotify Content job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 54% In-person, 8% Hybrid, and 38% Remote job distribution, with an average salary of $80,932 per year, or $38.9 per hour.

Staff Machine Learning Engineer - Policy & Safety

Spotify

New York, NY • On-site

$227K - $324K/yr

Other

Medical, Retirement, PTO

Posted 13 days ago

Job description

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

About the Team
The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.

Our work sits on the critical path of every new content type and product experience-from messaging and comments to collaborative and agentic features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start-not added later.

What You Will Do
  • Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
  • Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
  • Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
  • Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
  • Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
  • Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
  • Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
  • Mentor and support other machine learning engineers, helping raise the bar across the team
Who You Are
  • You have experience building and shipping production-grade machine learning systems at scale
  • You have strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
  • You have worked with multimodal machine learning systems across text, audio, image, or video domains
  • You are experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
  • You are comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
  • You have experience working across teams and influencing technical direction in large-scale systems
  • You are comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
  • You communicate clearly and collaborate effectively with both technical and non-technical stakeholders
Where You Will Be
  • This role is based in New York, NY
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
The United States base range for this position is $227,495-$324,993 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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