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Spotify is hiring a Senior Product Manager for its Experience team to lead the sharing and social surfaces that help Spotify content spread across platforms and drive user growth.
Spotify is hiring a Senior Product Manager for Partner Growth to shape AI-driven and mobile experience layers across major partner ecosystems and platforms.
Senior Machine Learning Engineer on Spotify’s Personalization team, building recommendation systems that power music experiences like Home and Now Playing for millions of listeners.
Spotify is hiring a Senior Backend Engineer to help build and scale the audiobook pipeline systems that ingest, process, and deliver audiobooks and eBook content, metadata, and royalties across a global catalog.
Spotify is hiring a Senior Full Stack Engineer to help evolve WhoSampled as a standalone product and as a foundational layer in Spotify’s ecosystem, spanning backend, data, and web work.
Spotify is hiring a Senior Product Manager for its Advertising Product & Technology team to build advertiser-facing tools in Spotify Ads Manager that improve campaign performance and drive advertising revenue at scale.
Spotify is hiring a Senior Machine Learning Engineer for the Zeitgeist squad in Personalization to build AI systems that understand cultural trends in real time and power new personalized listening experiences.
Spotify is hiring a Full Stack Engineer for its Advertising team to help maintain and evolve the Ads API and primary data store that power large-scale advertising experiences.
Spotify is hiring a Senior Machine Learning Engineer for the Personalization team in New York to build AI-powered systems that understand cultural trends and improve personalized listening experiences for millions of users.
Spotify’s Markets & Subscribers team is hiring a Manager, Growth Creative Strategy & Optimization to lead creative strategy and optimization across performance and lifecycle marketing for subscriber and user growth.
Spotify is hiring a mid-level Product Designer for its Advertising R&D team to help shape the advertiser-facing platform and internal tools that support scalable, data-driven advertising experiences.
Spotify is hiring a Machine Learning Engineer I for its Personalization team to build and improve content-enrichment systems that understand music, podcasts, and audiobooks for recommendations and listening experiences.
Spotify is hiring a Senior Backend Engineer for its Personalization mission to build and scale experimentation infrastructure that helps teams launch and evaluate personalized experiences across Spotify Surfaces.
Spotify is hiring an Engineering Manager for its Platform Infrastructure team to lead cloud, security, and developer tooling foundations that support internal engineering at scale and power the company’s developer platform.
Senior Machine Learning Engineer, Personalization at Spotify will develop and deploy reinforcement learning-driven reward signals and personalization models that improve long-term user satisfaction across recommendation and discovery experiences.
Spotify is hiring a Senior Software Engineer to help build and operate the cloud and developer platform infrastructure that supports internal engineering workflows, external platform products, and large-scale reliability for its R&D organization.
Spotify is hiring a Software Engineer for its Platform Infrastructure team in New York to build the cloud and developer platform foundations that support internal engineering systems and external product capabilities at scale.
Spotify’s Platform Developer Experience team is hiring an Engineering Manager to lead the Wingspan team in building AI-native fleet management and developer platform infrastructure that helps engineers ship and operate software at scale.
Spotify is hiring a Financial Systems Analyst in Toronto to help shape the accounting systems and controls that power its subledger and financial infrastructure.
Spotify is hiring a Technical Operations Lead to manage vendor technical support for advertisers, sales partners, and internal stakeholders while acting as the bridge between support, product, and engineering to resolve issues and improve the support experience.
