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Spotify Content Jobs (NOW HIRING)

Spotify

Legal Counsel - Platform Liability

New York, NY · On-site

$170K - $243K/yr

Advise on Spotify's global compliance with platform liability frameworks and content safe harbor laws (e.g., Digital Services Act, DMCA, Section 230 of the Communications Decency Act) * Support ...

Spotify

Legal Counsel - Platform Liability

New York, NY

$170K - $243K/yr

Advise on Spotify's global compliance with platform liability frameworks and content safe harbor laws (e.g., Digital Services Act, DMCA, Section 230 of the Communications Decency Act) * Support ...

Spotify

Senior Staff Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user ...

Spotify

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user ...

Spotify

Content Designer, Personalization

Boston, MA · On-site

$119K - $170K/yr

We're looking for a Content Designer to join the Personalization Design team at Spotify, a multidisciplinary group building some of the world's most loved audio experiences, including Discover Weekly ...

Spotify

Content Designer, Personalization

Boston, MA · On-site +1

$119K - $170K/yr

We're looking for a Content Designer to join the Personalization Design team at Spotify, a multidisciplinary group building some of the world's most loved audio experiences, including Discover Weekly ...

Spotify

Content Designer, Personalization

New York, NY · On-site

$119K - $170K/yr

We're looking for a Content Designer to join the Personalization Design team at Spotify, a multidisciplinary group building some of the world's most loved audio experiences, including Discover Weekly ...

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How much do spotify content jobs pay per hour?

As of Jun 5, 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 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.

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.
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 May 2026, with employment types broken down into 94% Part Time, 3% Temporary, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $80,932 per year, or $38.9 per hour.

Staff Engineer - Content Intelligence Infrastructure

Spotify

New York, NY • On-site

$203K - $290K/yr

Other

Medical, Retirement, PTO

Posted 8 days ago

Job description

The Experience team designs 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.
The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise.
We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments.
What You'll Do
  • Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities
    • >
  • Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines
    • >
  • Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area
    • >
  • Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability
    • >
  • Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems
    • >
  • Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases
    • >
  • Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments
    • >
  • Mentor engineers and contribute to raising the engineering bar across the organization
    • >

Who You Are
  • You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments
    • >
  • You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively
    • >
  • You have strong programming experience in Java, Python, and/or Scala
    • >
  • You understand the challenges of building systems that process high-volume multimedia or real-time workloads
    • >
  • You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.
    • >
  • You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up
    • >
  • You communicate effectively across engineering, product, and leadership stakeholders
    • >
  • You have experience leading complex technical initiatives that span multiple teams or organizational areas
    • >
  • You care deeply about collaboration, mentorship, and creating alignment across teams
    • >
  • Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus
    • >
  • Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued
    • >

Where You'll Be
  • This role is based in New York
    • >
  • 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 $203,410-290,586 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, 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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