Spotify has 45 active AI-related job listings, with a significant focus on roles related to agents, comprising 42% of the openings, and application development, at 38%. The majority of these positions are within Engineering. The company is actively hiring for roles involving recommender systems, agent orchestration, and model serving. Over the last 30 days, Spotify has added 24 new AI roles, representing a 41% increase compared to the previous 30-day period.
Currently tracking 37 active AI roles, with 77 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $110k–$402k (avg $223k).
Spotify currently has 41 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer (2), Machine Learning Engineer, Personalization, Samba (2), Research Scientist - Music (2), Senior Machine Learning Engineer - Policy & Safety (2), Senior Research Scientist - Music (2). Most positions are in Engineering and Research.
Spotify's active AI hiring is concentrated in: agents (39%), application (34%), post-training (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Spotify is hiring AI talent in: United States (24 roles), Sweden (15 roles), United Kingdom (14 roles), Canada (1 role).
Job postings at Spotify most frequently reference: recommender systems, model serving, agent orchestration, multimodal, llm observability.
In the past 30 days, Spotify has posted 7 new AI-related roles. That is a -78% change versus the prior 30 days (32 → 7).
| Title | Stage | AI score |
|---|---|---|
| Senior Fullstack Engineer - Backstage Portal, Data Experience Senior Fullstack Engineer to build and maintain connectors, APIs, and UIs for Spotify's Backstage Portal, focusing on ingesting dataset metadata and surfacing it in the Software Catalog. The role involves full-lifecycle product development, integrating with data warehouses and transformation tools to provide a unified view of data. | — | 0 |
| Backend Engineer - Data Infrastructure Backend Engineer role focused on building and operating a data analytics platform with an OLAP data store (Druid) for internal teams at Spotify. The role involves developing backend services, internal tooling, and ensuring the reliability and maintainability of the data infrastructure. | — | 0 |
| Senior Machine Learning Engineer, Zeitgeist, Personalization | — |
| Manager, Growth Creative Strategy & Optimization - Markets & Subscribers | — | — |
| Data Scientist II - Trust & Safety | — | — |
| Supervising Studios Production Manager | — | — |
| Product Designer - Advertising | — | — |
| Senior Machine Learning Engineer, Personalization, Rewards | — | — |
| Accounts Payable Analyst | — | — |
| Executive Assistant - Trust & Safety | — | — |
| Executive Assistant - Government Affairs | — | — |
| Legal Counsel - Product | — | — |
| Machine Learning Engineer I, Personalization , Minesweeper | — | — |
| Senior Software Engineer - Platform Infrastructure | — | — |
| Software Engineer - Platform Infrastructure | — | — |
| Frontend Engineer - Music | — | — |