The Rights Systems team builds and operates Spotify Rights Center (SRC) — Spotify’s rights management platform that enables Spotify and its partners to identify, manage, and enforce music licensing rights across all the content available on the platform.
Comparable in scope to YouTube’s Content ID, SRC is purpose-built for Spotify’s ecosystem and underpins the company’s strategy for video and emerging content types. Over the past year, the team has taken SRC from concept to a fully operational production platform, delivering automated content scanning, policy management, enforcement pipelines, appeals workflows, manual claims, and analytics capabilities.
The team has grown from a single squad to three squads (~30 bandmates) and continues to scale as a strategic investment area for Spotify over the next several years.
What You'll Do
- Build and maintain the data pipelines and analytics infrastructure that power Spotify’s rights management platform
- Own batch and streaming pipelines that generate core datasets used by Spotify Rights Center, including processing content segments, joining rights metadata, and producing match data that drives the product
- Develop and evolve analytics models that transform pipeline and service data into reporting for system reliability, rightsholder adoption, and business ROI
- Partner closely with product managers, backend engineers, and insights teams to define metrics, build dashboards, and generate data that informs strategic decisions around platform expansion
- Maintain data export pipelines connecting backend services and the data warehouse to ensure downstream consumers receive timely and accurate data
- Implement strong data quality practices, including validation tests, alerts, and monitoring to ensure reliable pipeline outputs
- Contribute to technical solutions that support licensing, financial engineering, and content platform stakeholders
- Participate in product ideation with engineers, researchers, product managers, and domain experts across the team
- Contribute to a collaborative engineering culture and support continuous learning through hack days, reading groups, and internal training
Who You Are
- You have strong SQL skills and deep experience with data modeling and warehouse design
- You have experience building and operating batch data pipelines at scale using tools such as Scio, Apache Beam, Spark, or similar frameworks
- You are comfortable working with modern cloud data warehouses such as BigQuery, Snowflake, or similar technologies
- You have experience with analytics engineering tools like dbt and understand layered data modeling approaches (staging, transformation, reporting)
- You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar systems
- You can write production-quality code in languages such as Scala, Python, or Java
- You understand data quality practices and have built monitoring and alerting systems for pipeline reliability
- You take ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines
- You communicate clearly with both technical and non-technical stakeholders
- You enjoy learning new domains and tackling complex data challenges such as rights management, content matching, and multi-territory licensing
Where You'll Be
This role is based in New York City
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
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
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What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
