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As a Machine Learning Engineer, you'll build and optimize ML systems for music promotion, ensuring they are efficient and scalable while collaborating with cross-functional teams.

The Data Science Manager will lead a team to enhance music recommendations through data analysis, storytelling, and innovation, collaborating with senior leaders.

Lead a strategic 1:1 partnership with a major agency, drive revenue growth through joint business plans and scaled programs, evangelize Spotify ad products, advise on programmatic/self-service/AI-enabled workflows, and coordinate cross-functional teams to execute education, measurement, and innovation initiatives.

Develop and improve recommendation models for Spotify's music services, drive hands-on machine learning development, and collaborate across teams to integrate new signals in ML systems.

Lead and improve machine learning systems for safety in personalization, develop backend services, and partner across teams to address safety challenges.

The role involves modeling financial frameworks, conducting analyses for new in-person initiatives, and establishing performance governance at Spotify.

Lead a team of Financial Systems Analysts, ensuring operations of financial SaaS platforms run smoothly. Manage team performance, KPIs, and process improvements in partnership with Finance and other stakeholders.

As Legal Counsel, you will advise on platform liability laws, manage Spotify's legal takedown policies, provide legal support across teams, and track evolving regulations, focusing on copyright and compliance issues.

The role involves designing and refining reward signals for recommendations, collaborating with teams, and implementing ML solutions to enhance user satisfaction.

Lead a regional technical ad-ops team to ensure successful delivery of programmatic and direct advertising campaigns. Manage ticket-based workflows, QA processes, SLAs, and escalations; collaborate with Sales, Product, Engineering, buyers, and DSP partners to troubleshoot delivery issues, improve performance, and drive long-term product fixes. Build training, documentation, and cross-functional partnerships while coordinating with offshore/global support teams.