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Spotify Jobs (NOW HIRING)

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label ...

Senior Product Manager - Advertising

New York, NY · On-site +1

$138K - $182K/yr

Build & launch products in the Spotify Ads Manager to drive advertiser revenue and improve ad performance. * Leverage advertiser insights, lead data-driven experimentation, and navigate complex trade ...

Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art ...

Senior Product Designer - Podcast

New York, NY · On-site +1

$147K - $210K/yr

The Analytics team within Spotify for Creators designs experiences that help podcasters, video creators, and publishers understand their audiences, reach, and growth across platforms. We're a small ...

Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art ...

Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art ...

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's Propositions team is responsible for what we offer and how we package it - the plans, tiers, and propositions that shape how hundreds of millions of people experience and pay for Spotify.

New

Spotify's Propositions team is responsible for what we offer and how we package it -- the plans, tiers, and propositions that shape how hundreds of millions of people experience and pay for Spotify.

New

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How much do spotify jobs pay per year?

As of Sep 5, 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 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 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 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 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $185,569 per year, or $89.2 per hour.

Data Scientist - Music Mission

Spotify

New York, NY • Remote

$116K - $167K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago


Job description

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.

In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

What You'll Do
  • Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
  • Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
  • Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
  • Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
  • Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
  • Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
  • Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode
Who You Are
  • You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
  • You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
  • You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
  • You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
  • You are comfortable working in a highly technical environment and collaborating closely with engineering partners
  • You communicate complex statistical concepts clearly to both technical and non-technical audiences
  • You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
  • You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $116,994 - $167,135 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.

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