Senior Engineering Manager - Native Ads
Spotify - New York, NY
Posted Apr 30, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Engineering Manager - Native Ads New York, NY The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. You'll join the Native Ads product area within the Music Mission, where we build advertising experiences that feel native to the listening journey while supporting artists and creators at scale. This team sits at the intersection of Music, Advertising, and Personalization, working across missions to deliver impactful, data-driven solutions. We operate in a highly collaborative environment with product, data science, and engineering partners, solving complex machine learning challenges that power ad experiences for millions of listeners around the world. The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. You'll join the Native Ads product area within the Music Mission, where we build advertising experiences that feel native to the listening journey while supporting artists and creators at scale. This team sits at the intersection of Music, Advertising, and Personalization, working across missions to deliver impactful, data-driven solutions. We operate in a highly collaborative environment with product, data science, and engineering partners, solving complex machine learning challenges that power ad experiences for millions of listeners around the world. What You'll Do - Lead and support
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