Jobs at Spotify

Define and own the quality bar for Spotify's AI voice models by designing evaluation rubrics, running qualitative and MOS-style campaigns, benchmarking against competitors, and turning findings into actionable recommendations for product, production, and ML teams.

Manage and grow a portfolio of global strategic partnerships from post-signature through renewal. Serve as primary partner contact, lead launches, optimize marketing initiatives, analyze performance to drive user acquisition and conversion, identify expansion opportunities, and collaborate cross-functionally to improve partner workflows and commercial outcomes.

Join the Baldur squad to design and build Spotify's delegated authorization and session management systems. Develop secure, cross-platform C++ libraries and native iOS Swift components for token issuance, refresh, revocation, and on-device credential storage, collaborating with client and backend teams to scale OAuth 2.0 infrastructure used by millions.

As a Staff Machine Learning Engineer, you will build ML systems for content understanding, develop classification models, and improve content quality through collaborative work with various teams.

The Staff Machine Learning Engineer builds and scales ML systems for content detection and policy enforcement, collaborating with various teams to ensure safety and compliance in Spotify's user experiences.

Lead a six-person engineering team owning event delivery and data pseudonymisation platforms. Set technical direction, ensure reliable delivery and on-call health, partner with product and stakeholders on roadmap, drive architecture, hire and grow engineers, and foster a culture of ownership and inclusion.

As a Frontend Engineer II on the Rights Systems team, you will build and enhance Spotify's rights management platform, collaborate with cross-functional teams, integrate frontend systems with APIs, and maintain high-quality code and user experiences.

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.

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 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.

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.

The Lead Growth Manager will drive growth strategies in the UK, Ireland, and Netherlands, optimizing customer acquisition, retention, and lifecycle marketing through data-driven decisions and collaboration across teams.

Lead technical strategy, architecture, and development of systems that enable partner and platform experiences across devices and integrations. Drive cross-team initiatives to reduce duplication, unify foundations, and set standards. Collaborate with product, design, and infrastructure to align technical direction, and pioneer AI-native workflows to improve how teams build and deliver reliable, personalized user experiences at scale.

Own long-term product strategy and deliver platform capabilities for Spotify's content ecosystem. Lead complex cross-functional initiatives from discovery through delivery, partner with engineering, ML, data science, and design, and prioritize platform safety, trust, regulatory compliance, and operational excellence. Influence stakeholders, shape model strategy and evaluation, and communicate vision across technical and executive audiences to drive company-wide impact.

Define multilingual AI quality frameworks, design and run evaluations, curate and annotate datasets, analyze results, and partner with product, engineering, and research to improve AI experiences across languages and markets.

Design, build, and evolve iOS mobile experiences and reusable platform components. Improve scalability, performance, reliability, and developer experience. Collaborate with product, design, and platform teams; participate in code reviews, testing, observability, experimentation, and prototyping. Embrace modern tooling and contribute to long-term technical health and engineering culture.

The Senior Staff Machine Learning Engineer will define and implement ML strategies for content safety and compliance, build scalable systems, and ensure high-quality content evaluation.

Lead technical partnerships and integrations with hardware manufacturers, driving adoption of Spotify's Core Playback SDK from planning to launch. Align cross-functional teams, run architecture reviews and workshops, write technical proposals, troubleshoot SDK/API/embedded issues, contribute code when needed, and improve partner developer experience and platform scalability.

Lead and develop a team of engineers focusing on real-time music sharing experiences, collaborating across various technologies and ensuring high-quality user experiences.

The Senior Staff Machine Learning Engineer will develop and scale ML systems for content classification, moderation, and decision-making, ensuring quality and compliance across Spotify's platform.