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Spotify Data Jobs (NOW HIRING)

Spotify

Legal Counsel - Product

New York, NY

$170K - $243K/yr

Spotify seeks an outstanding, highly-motivated attorney to serve as Legal Counsel, Product. As a ... and data protection, content, intellectual property, online safety, minor protection, and other ...

Spotify

Senior Manager, Finance - Ventures

New York, NY

$152K - $218K/yr

You have a "sharp eye for detail" along with the ability to influence senior stakeholders both in Finance and across Spotify through clear, data-driven narratives and investment cases. * Operational ...

Spotify

Director of Sales - Backstage

Manhattan, NY

Backstage was created at Spotify and has grown into a leading SaaS and open source platform for ... You are data-driven and use metrics to guide forecasting, performance, and decision-making * You ...

Spotify

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

... data pipelines using tools like Apache Beam or Spark Preferred : • Experience with LLMs • Experience with Ray • Experience in Adtech • Experience with Recommender Systems Company : Spotify is ...

Spotify

Analyst, Licensing Finance - FP&A

New York, NY · On-site

$67K - $95K/yr

Spotify is seeking a highly analytical and motivated Analyst to join its Licensing Finance team ... You will partner closely with Licensing, Legal, Royalty Operations, Data, Product, and Finance ...

Spotify

Analyst, Licensing Finance - FP&A

New York, NY · On-site

$67K - $95K/yr

Spotify is seeking a highly analytical and motivated Analyst to join its Licensing Finance team ... You will partner closely with Licensing, Legal, Royalty Operations, Data, Product, and Finance ...

Spotify

$184K - $262K/yr

This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning ...

Spotify

Platform Integrity Lead

New York, NY

$114K - $163K/yr

We focus on building trust in Spotify's advertising platform. This team sits at the center of ... You use data to inform decisions and can translate complex information into clear actions * You ...

Spotify

Head of Backstage Marketing

New York, NY · On-site

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... Build, mentor, and grow a high-performing, data-informed marketing team Who You Are * You have 10+ ...

Spotify

Head of Backstage Marketing

New York, NY · On-site

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... Build, mentor, and grow a high-performing, data-informed marketing team Who You Are * You have 10+ ...

Spotify

Legal Program Lead

New York, NY · On-site

$95K - $136K/yr

Spotify's Legal team supports a fast-moving, global business at the intersection of technology ... If you would like more information about how your data is processed, please contact us. Find our AI ...

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Spotify Data information

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How much do spotify data jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for spotify data in the United States is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

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 is a Spotify Data job?

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.

More about Spotify Data jobs
What cities are hiring for Spotify Data jobs? Cities with the most Spotify Data job openings:
What states have the most Spotify Data jobs? States with the most job openings for Spotify Data jobs include:
What job categories do people searching Spotify Data jobs look for? The top searched job categories for Spotify Data jobs are:
Spotify Data jobs near you
Infographic showing various Spotify Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Staff Machine Learning Engineer - Policy & Safety

Spotify

New York, NY • On-site

$227K - $324K/yr

Other

Medical, Retirement, PTO

Posted 7 days ago

Job description

We design 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.
About the Team
The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.
Our work sits on the critical path of every new content type and product experience-from messaging and comments to collaborative and agentic features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start-not added later.
What You Will Do
  • Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
  • Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
  • Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
  • Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
  • Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
  • Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
  • Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
  • Mentor and support other machine learning engineers, helping raise the bar across the team

Who You Are
  • You have experience building and shipping production-grade machine learning systems at scale
  • You have strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
  • You have worked with multimodal machine learning systems across text, audio, image, or video domains
  • You are experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
  • You are comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
  • You have experience working across teams and influencing technical direction in large-scale systems
  • You are comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
  • You communicate clearly and collaborate effectively with both technical and non-technical stakeholders

Where You Will Be
  • This role is based in New York, NY
  • 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 $227,495-$324,993 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, 13 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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