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The role involves designing and deploying machine learning systems for content safety at Spotify, collaborating with various stakeholders, and providing technical leadership.

As an Engineering Manager, you'll lead a distributed team, mentor engineers, oversee delivery quality, support product managers, and engage in hands-on engineering.

Build and evolve Android ad experiences at scale, collaborating with cross-functional teams to design, implement, and ship performant, maintainable features. Influence Android architecture, improve app performance and reliability, create reusable components, and contribute to an inclusive team culture.

Lead product strategy and roadmap for Spotify's User Platform (identity, account lifecycle, IAM analytics, device/client trust). Partner with engineering, data, design, and cross-functional teams to build account lifecycle capabilities, reusable user intelligence signals/APIs, and trusted identity data. Define success metrics, balance long-term platform investments with near-term priorities, and foster alignment across squads to scale secure user experiences.

Provide strategic legal advice on music publishing and copyright licensing; draft, structure, and negotiate licensing agreements with CMOs, PROs, and publishers; advise on compliance, new product features, market launches, and commercial initiatives across digital platforms; partner with cross-functional teams including Business Affairs, Finance, and Product.

The Staff Engineer will lead the design and evolution of backend and ML infrastructure systems to enhance Spotify's content intelligence capabilities, focusing on scalable and reliable content processing across multiple media types.

The Senior Product Manager will lead product strategy for Spotify's tax technology, collaborating with finance and engineering to enhance operational efficiency, compliance, and product delivery.

The Senior Machine Learning Engineer will develop and enhance ML systems for content resolution and work on multimodal understanding involving music, video, and metadata. Responsibilities include leading ML pipeline evolution, experimentation for quality improvements, and mentoring team members.

Own strategy and roadmap for Spotify's data catalogue, metadata, and lineage. Prioritize user needs, deliver solutions (build/buy/integrate), define KPIs, collaborate with engineering, design, and data teams, and influence stakeholders to improve data discoverability, governance, trust, and AI-driven workflows.

Build and maintain Android client components that capture listening and engagement signals. Write well-tested Kotlin code for data used in royalty reporting, analytics, experimentation, and personalization. Collaborate with Android, iOS, backend, and data teams to improve architecture, reliability, and event-reporting capabilities. Contribute to tooling and AI-assisted workflows while ensuring scale, quality, and maintainability.