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Manager Music Research Jobs (NOW HIRING)

Spotify

Research Scientist - Music

New York, NY

$132K - $188K/yr

... managers, designers, user researchers, and analysts-to craft innovative solutions to complex ... machine learning, music information retrieval, speech processing, audio processing, signal ...

Spotify

Senior Research Scientist - Music

$100K - $128K/yr

Spotify is a leading music streaming service, and they are seeking a Senior Research Scientist to ... managers, designers, user researchers, and analysts--to craft innovative solutions to complex ...

Duetti

Music Growth Manager

New York, NY · On-site +1

As Music Growth Manager, you are responsible for hands-on execution of innovative strategies to ... Strategies will be informed by your experience researching, designing, and executing sophisticated ...

Duetti

Music Growth Manager

Los Angeles, CA · On-site

$70K - $100K/yr

As Music Growth Manager, you are responsible for hands-on execution of innovative strategies to ... Strategies will be informed by your experience researching, designing, and executing sophisticated ...

Spotify

Senior Research Scientist - Music

New York, NY · On-site +1

$107K - $137K/yr

... managers, designers, user researchers, and analysts-to craft innovative solutions to complex ... machine learning, music information retrieval, speech processing, audio processing, signal ...

Spotify

Senior Research Scientist - Music

New York, NY

$107K - $137K/yr

... managers, designers, user researchers, and analysts-to craft innovative solutions to complex ... machine learning, music information retrieval, speech processing, audio processing, signal ...

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Manager Music Research information

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$38K

$113.8K

$192K

How much do manager music research jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager music research in the United States is $113,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $139,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Music Research vs Music Analyst?

AspectManager Music ResearchMusic Analyst
CredentialsBachelor's or Master's in Music, Market Research, or related fields; experience in music industryBachelor's or Master's in Music, Data Analysis, or related fields; familiarity with music trends
Work EnvironmentResearch departments, music companies, market research firmsMusic streaming services, record labels, market analysis firms
Employer & Industry UsageUsed by music companies to guide research strategiesUsed to analyze music trends and consumer preferences

While both roles involve analyzing music data, a Manager Music Research oversees research projects and team management, focusing on strategic insights. A Music Analyst primarily conducts data analysis to identify trends and consumer behaviors. The manager role is more leadership-oriented, whereas the analyst role is more technical and detail-focused.

What cities are hiring for Manager Music Research jobs? Cities with the most Manager Music Research job openings:
What are the most commonly searched types of Music Research jobs? The most popular types of Music Research jobs are:
What states have the most Manager Music Research jobs? States with the most job openings for Manager Music Research jobs include:
What job categories do people searching Manager Music Research jobs look for? The top searched job categories for Manager Music Research jobs are:
Manager Music Research jobs near you
Infographic showing various Manager Music Research job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,783 per year, or $54.7 per hour.

Research Scientist - Music

Spotify

New York, NY

$132K - $188K/yr

Other

Medical, Retirement, PTO

Posted 19 days ago

Job description

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
 
Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
 
For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/
What You'll Do
  • Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.
  • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.
  • Create practical applications that harness generative technologies, pushing the boundaries of what's possible in listening experiences.
  • Collaborate as part of a cross-functional team-working closely with scientists, engineers, product managers, designers, user researchers, and analysts-to craft innovative solutions to complex challenges.
  • Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization.
  • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
Who You Are
  • You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
  • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
  • You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.
  • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
  • You are enthusiastic about learning more about turning research ideas into products operating at scale.
  • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
  • Core working hours are CET 3pm-6pm / EST 9am-12pm.
The United States base range for this position is $132,073 - $188,676 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
 
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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