Jobs at Spotify

Build end-to-end internal products and platform services for Spotify's subscription business, spanning frontend (TypeScript/React/Next.js), backend services (Java), GraphQL/gRPC APIs, and PostgreSQL. Design secure, auditable, SOX-compliant workflows, collaborate on architecture, write well-tested code, and participate in on-call rotations to ensure platform reliability.

Design and build the C++ integration layer for TV audio/video playback, integrate with native media frameworks (AVPlayer/ExoPlayer), own buffering/ABR/A-V sync, debug performance across OS and hardware, improve tooling and observability, and collaborate with platform and device teams to raise playback quality.

As an Analytics Engineer II, you will build and maintain analytical data models, collaborate on data pipelines, and contribute to key metrics and dashboards to support decision-making.

Provide legal advice on e-commerce and subscriptions, draft agreements, ensure compliance, and collaborate with cross-functional teams at Spotify.

Lead design and execution of scalable batch and streaming data platforms for subscription analytics and ML. Define long-term data strategy, drive architecture and best practices, reduce technical debt, mentor engineers, and partner cross-functionally to improve data quality, governance, observability, and platform reliability for subscriber growth.

Design and ship machine learning models for optimizing messaging on multiple channels, focusing on long-term user outcomes and experimentation.

As Legal Counsel, you will supervise takedown policies, provide legal support for content management, and resolve claims related to Spotify's legal practices globally.

Lead product strategy and roadmap for Spotify's design system (Encore), accessibility, and AI-enabled design tooling. Align cross-functional teams, prioritize platform investments, define success metrics for adoption and design quality, and champion AI throughout the workflow. Drive execution plans, measure impact, and support platform adoption while ensuring extensibility, accessibility, and consistency for designers and engineers.

Lead consultative sales for Spotify's Emerging & Scaled clients: build and manage pipelines, craft and present sales propositions, exceed revenue targets, analyze campaign performance, identify cross-sell opportunities, and collaborate with Product, Marketing, and Data teams. Role based in London with periodic Nordic travel.

Design end-to-end conversational experiences for Spotify's AI products, including dialogue flows, prompt engineering, LLM prototyping, evaluation frameworks, safety guardrails, and cross-functional collaboration to improve conversation quality and user task completion.

Own the freemium-to-Premium product strategy and roadmap to improve conversion, trials, ARPU, and retention. Lead discovery, design, experiments (A/B), and global rollouts, partnering with pricing, finance, marketing, design, and regional teams to localize offers and measure impact.

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.

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.

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 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.

Design, build, and maintain machine learning systems for content safety and policy enforcement, focusing on performance and reliability while collaborating with cross-functional teams.

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.