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Spotify Jobs (NOW HIRING)

Spotify

US Agency Development Lead

New York, NY · On-site

Spotify's US Agency Team delivers innovative strategic partnerships for our agency partners and their advertiser clients to build trust, drive business outcomes, and maximize long-term local market ...

Spotify

Creative Director - Social

Los Angeles, CA · On-site

The Social Creative Director will lead the creative vision for Spotify's global social presence, ensuring every piece of content is visually compelling, culturally relevant, and unmistakably Spotify.

Spotify

Head Of Sales Japan

Manhattan, NY · On-site

$244 - $427/hr

For us and millions of users across the globe, that's Spotify. Join the Sales team and you'll build the relationships that help grow our business in existing markets and beyond. We don't just sell ...

Spotify

Senior Manager, Finance - Ventures

New York, NY · On-site

$152K - $218K/yr

Spotify is looking for a seasoned Senior Manager to join our Finance team to support the evaluation and potential operation of new in person experiences. As Spotify continues to evolve beyond digital ...

Spotify

Data Scientist

New York, NY · On-site

$108K - $135K/yr

The Podcast & Video Analytics team sits within Spotify's Content Analytics organisation and partners closely with Podcast, Video, Product, Engineering, and Content teams to shape the future of ...

Spotify

Director of Sales - Backstage

Manhattan, NY · On-site

$242.53 - $346.48/hr

Backstage was created at Spotify and has grown into a leading SaaS and open source platform for developer portals. Thousands of companies use Backstage to bring structure to complex microservices ...

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Spotify information

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$72K

$185.6K

$247K

How much do spotify jobs pay per year?

As of Aug 10, 2026, the average yearly pay for spotify in the United States is $185,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,500.00 and $209,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to work at Spotify?

To thrive as a Spotify Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with data analysis tools like SQL, Python, Tableau, and experience with data visualization and database management systems is typically required. Excellent communication, problem-solving abilities, and collaboration skills help translate data insights into actionable recommendations for cross-functional teams. These skills are crucial for leveraging data to drive business decisions, optimize user experiences, and support Spotify’s growth.

What does a job at Spotify involve?

A job at Spotify can cover a wide range of roles, including engineering, data science, product management, design, content curation, and marketing. Employees work to improve the streaming platform, analyze user data, develop new features, and support artists. The company emphasizes innovation, collaboration, and diversity, offering a dynamic and flexible work environment. Spotify is known for its focus on user experience and leveraging technology to deliver music and podcasts to millions of users globally.

What challenges do employees face at Spotify, and how does the company support professional growth?

Employees at Spotify often work in fast-paced, cross-functional teams where adaptability and collaboration are key. A common challenge is staying innovative while balancing user needs and tight project timelines. Spotify actively supports professional growth by offering learning opportunities, mentorship programs, and encouraging employees to explore new roles within the organization. Regular feedback and open communication are integral to their culture, making it easier for team members to navigate challenges and advance their careers.

What is the difference between Spotify vs Sound Engineer?

AspectSpotifySound Engineer
Primary RoleMusic streaming platform management and content curationAudio recording, mixing, and mastering
Required SkillsDigital platform management, data analysis, licensing knowledgeAudio editing, acoustics, technical equipment operation
Work EnvironmentOffice, remote, tech-focusedRecording studios, live venues, post-production facilities
Industry UsageMusic streaming, digital mediaMusic production, broadcasting, live events

Spotify focuses on digital platform management and content curation within the music streaming industry, while a Sound Engineer specializes in audio production and sound quality. Both roles require technical knowledge but serve different aspects of the music industry.

What cities are hiring for Spotify jobs? Cities with the most Spotify job openings:
What states have the most Spotify jobs? States with the most job openings for Spotify jobs include:
Infographic showing various Spotify job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution, with an average salary of $185,569 per year, or $89.2 per hour.

Senior Machine Learning Engineer - Enrichment & Content Intelligence

Spotify

New York, NY • On-site

$184K - $262K/yr

Other

Medical, Retirement, PTO

Re-posted 15 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 Enrichment & Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale. Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify's catalog.
Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify.
We're looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. This role sits at the intersection of multimodal machine learning, entity resolution, and production-scale engineering, with opportunities to work across audio, video, and metadata understanding problems at massive scale.
What You'll Do
  • Own and evolve large-scale ML pipelines powering Spotify's content-resolution systems
  • Lead development of multimodal embedding frameworks supporting multimodal understanding, music video matching, SongDNA
  • Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats
  • Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis
  • Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems
  • Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management
  • Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission
  • Help shape technical strategy for the squad and contribute to long-term ML direction across the product area
  • Mentor engineers and contribute to a strong culture of technical collaboration and experimentation

Who You Are
  • You have solid experience building, deploying, and maintaining machine learning systems in production at scale
  • You have strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow
  • You have experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains
  • You understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities
  • You know how to design evaluation systems that balance model quality, operational performance, and real-world impact
  • You are experienced working with large-scale distributed data processing systems and ML infrastructure
  • You communicate effectively across engineering, product, and data science stakeholders
  • You are comfortable leading technical initiatives and influencing engineering direction within a team
  • Experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks is a plus
  • Experience with Scala is a plus
  • Experience with computer vision, video understanding, multimodal embeddings, or recommendation systems is a strong plus

Where You'll Be
  • This role is based in New York City
  • 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 $184,049-262,928 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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