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Spotify Data Jobs (NOW HIRING)

Spotify

Senior Manager, Finance - Ventures

New York, NY · On-site

$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

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

Full Stack Engineer - Podcast

Manhattan, NY · On-site

$150 - $189/hr

Podcast R&D is a product and technology team within Podcast Vertical at Spotify, focused on ... Collaborate closely with a talented group of engineers, product managers, designers and data ...

Spotify

Backend Engineer - Advertising

Manhattan, NY · On-site

$132.95 - $189.93/hr

We're seeking a talented Backend engineer (with some data engineering experience as a bonus) to join our team at Spotify, where you'll collaborate with internal customers to design scalable backend ...

Spotify

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 ...

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Spotify Data information

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How much do spotify data jobs pay per hour?

As of Aug 22, 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 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.

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Spotify Data jobs near you
Infographic showing various Spotify Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Staff Engineer - Content Intelligence Infrastructure

Spotify

New York, NY • On-site

$203K - $290K/yr

Other

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Experience team designs 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.
The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise.
We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments.
What You'll Do
  • Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities
  • Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines
  • Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area
  • Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability
  • Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems
  • Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases
  • Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments
  • Mentor engineers and contribute to raising the engineering bar across the organization

Who You Are
  • You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments
  • You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively
  • You have strong programming experience in Java, Python, and/or Scala
  • You understand the challenges of building systems that process high-volume multimedia or real-time workloads
  • You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.
  • You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up
  • You communicate effectively across engineering, product, and leadership stakeholders
  • You have experience leading complex technical initiatives that span multiple teams or organizational areas
  • You care deeply about collaboration, mentorship, and creating alignment across teams
  • Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus
  • Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued

Where You'll Be
  • This role is based in New York
  • 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 $203,410-290,586 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.
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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