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Spotify Jobsexternal in California (NOW HIRING)

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Spotify information

See California salary details

$71.1K

$183.1K

$243.8K

How much do spotify jobs pay per year?

As of Sep 5, 2026, the average yearly pay for spotify in California is $183,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,200.00 and $206,800.00 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 in California are hiring for Spotify jobs?

Cities in California with the most Spotify job openings:

Infographic showing various Spotify job openings in California as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $183,139 per year, or $88 per hour.

Senior Product Quality Analyst - AI Voice

Spotify

Los Angeles, CA • On-site

$114K - $163K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Key responsibilities

  • Own the quality bar for Spotify's AI voice models by defining evaluation criteria and measuring qualities such as naturalness, tone, pacing, pronunciation, accent, audio quality, and overall experience.

  • Design evaluation rubrics, plan and carry out evaluation campaigns, and synthesize qualitative and quantitative findings into clear recommendations.

  • Establish an ongoing evaluation rhythm, benchmark against third-party models and competitors, and surface meaningful gaps to influence future research and technical priorities.


Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.

We are the Voice Production Team, the creative team behind Spotify's AI voice experiences. We think about AI voices from a casting perspective - including voice type, age and gender - and from a performance perspective, recognizing that a voice may need to perform differently for DJ than it does for an audiobook recap. We bring expertise in voice casting, direction, recording and production, and work closely with Speak to set the quality bar for AI voice models across experiences including AI DJ, Generative AI Ads, Personalized Podcasts, Agent Voice Chat and more.

As a Senior Product Quality Analyst, you'll bring a dedicated evaluation perspective to the team. You'll own how we define and measure AI voice quality, bringing together Voice Production's creative bar, Speak's technical bar and the wider industry bar. Your goal won't simply be to determine whether Spotify has the "best" AI voice technology on the market. You'll help us answer a more important question: is our technology the best at serving Spotify's specific needs?

 
What You'll Do
  • Own the quality bar for Spotify's AI voice models, defining what "good enough" means for different products, audiences, languages and use cases.
  • Independently design evaluation rubrics and build an evaluation approach that measures qualities such as naturalness, tone, pacing, pronunciation, accent, audio quality and overall experience.
  • Plan and carry out evaluation campaigns, turning qualitative and quantitative findings into clear recommendations for Voice Production, Speak and product teams.
  • Establish an ongoing evaluation rhythm, including when and how we reassess model quality as our technology and products evolve.
  • Benchmark Spotify's AI voices against third-party models and competitors to understand where our experiences lead, where they differ and where there are opportunities to improve.
  • Help determine appropriate quality trade-offs as Spotify expands into additional languages and regions, considering the product use case and needs of each market.
  • Partner closely with voice experts, machine learning teams, product partners and vendors to maintain a consistent quality bar across demanding and sometimes competing priorities.
  • Surface the most meaningful gaps in model performance and use evaluation insights to help influence future research and technical priorities.
Who You Are
  • You have experience in product quality, evaluation, data curation or a closely related field where human judgment is used to assess model or product performance.
  • You know how to independently define evaluation criteria and turn subjective qualities into clear, repeatable rubrics.
  • You are comfortable designing and running both qualitative and MOS-style evaluations and synthesizing the results into actionable insights.
  • You have an understanding of voice or audio quality, including qualities such as naturalness, pacing, tone, accent and pronunciation, or the ability to develop that expertise quickly.
  • You have strong judgment and can maintain a consistent quality bar while balancing different product requirements, markets and stakeholder perspectives.
  • You are comfortable working autonomously, identifying what needs to be evaluated and establishing the processes and cadence to make that evaluation useful over time.
  • You communicate clearly across creative, technical and product teams and can act as a reliable point of contact for internal partners and external vendors.
  • You are curious about generative AI, speech technology and the evolving AI voice landscape and can translate changes in the industry into meaningful benchmarks for Spotify.
Where You'll Be
  • This role is based in New York or Los Angeles.
  • 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 $114,486-$163,552 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
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