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Spotify Data Jobs in California (NOW HIRING)

Spotify

Senior Product Quality Analyst - AI Voice

Los Angeles, CA · On-site +1

$114K - $163K/yr

  • Medical

  • Retirement

  • PTO

From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... Who You Are * You have experience in product quality, evaluation, data curation or a closely ...

New

Spotify

Senior Legal Counsel - Music Publishing

Los Angeles, CA · On-site

$214K - $306K/yr

  • Medical

  • Retirement

  • PTO

You embody Spotify's values and demonstrate a Growth Mindset. * You are passionate about music law ... If you would like more information about how your data is processed, please contact us. Find our AI ...

Anyscale

Software Engineer (Ray Data)

San Francisco, CA · On-site

$140 - $190/hr

Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech ... About Ray Data Team Ray Data is Python-native data processing engine that is a one stop shop for ...

SG Services, Inc.

Data Insights Manager

Los Angeles, CA

$60K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working with industry data sources such as Spotify for Artists, Apple Music for Artists, YouTube Analytics, Luminate, Chartmetric, etc. * Ability to distill complex data into clear ...

SG Services, Inc.

Data Insights Manager

Los Angeles, CA · On-site

$60K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working with industry data sources such as Spotify for Artists, Apple Music for Artists, YouTube Analytics, Luminate, Chartmetric, etc. * Ability to distill complex data into clear ...

SG Services, Inc.

Data Insights Manager

Los Angeles, CA · On-site

$60K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working with industry data sources such as Spotify for Artists, Apple Music for Artists, YouTube Analytics, Luminate, Chartmetric, etc. * Ability to distill complex data into clear ...

Chartmetric

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

Together, we combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our beautifully designed tool in order to make sense of the ...

Menlo Ventures

Machine Learning Scientist

San Francisco, CA · On-site

$160 - $280/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are a team of musicians and AI experts, including alumni from Spotify, TikTok, Meta and Kensho ... Intimate familiarity of the entire stack of data engineering, designing, training and evaluating ...

New

Highbrow LLC

Cloud Engineer

San Jose, CA · On-site

$100 - $130/hr

Strong understanding of data synchronization, state management, offline behavior, and secure storage on Android. * Hands‑on experience integrating with third‑party cloud services (Spotify, Alexa ...

New

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Spotify Data information

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How much do spotify data jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for spotify data in California is $32.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.54 and $46.37 per hour, depending on experience, location, and employer.

What is a Spotify Data?

A Spotify Data job typically involves working with data related to user behavior, music trends, and platform performance. Professionals in these roles analyze large datasets to generate insights that improve recommendations, enhance user experience, and optimize business strategies. Common positions include Data Analyst, Data Scientist, and Machine Learning Engineer, requiring skills in SQL, Python, statistics, and data visualization.

What types of projects and collaboration can I expect in a Spotify Data role?

As a Spotify Data professional, you can expect to work on projects ranging from user behavior analysis and recommendation system optimization to performance reporting and A/B testing new features. You’ll regularly collaborate with product managers, engineers, designers, and marketing teams to translate business questions into actionable data insights. Your daily tasks often involve querying large datasets, building data pipelines, and presenting your findings to both technical and non-technical stakeholders. The collaborative, fast-paced environment at Spotify offers numerous opportunities for career growth, as you gain exposure to cutting-edge technologies and cross-functional projects.

What are the key skills and qualifications needed to thrive in the Spotify Data position, and why are they important?

To thrive in a Spotify Data role, you need strong analytical abilities, proficiency in statistics, and a solid background in computer science or a related field, usually supported by a relevant bachelor's or master's degree. Experience with SQL, Python or R, data visualization tools (such as Tableau), and familiarity with cloud platforms like AWS or Google Cloud are highly valued, along with certifications in data analytics or engineering. Excellent communication, problem-solving skills, and a collaborative mindset help you work effectively across multidisciplinary teams. These competencies are crucial because they enable you to extract meaningful insights from complex datasets that drive strategic business and product decisions at Spotify.

What are popular job titles related to Spotify Data jobs in California?

For Spotify Data jobs in California, the most frequently searched job titles are:

What job categories do people searching Spotify Data jobs in California look for?

The top searched job categories for Spotify Data jobs in California are:

What cities in California are hiring for Spotify Data jobs?

Cities in California with the most Spotify Data job openings:

Spotify Data jobs near you
Infographic showing various Spotify Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,905 per year, or $32.6 per hour.

Senior Product Quality Analyst - AI Voice

Spotify

Los Angeles, CA

$114K - $163K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

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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