Jobs at Spotify

Build and operate backend services, APIs, data catalogs, lineage systems, and publishing platforms for Spotify’s data ecosystem. Develop batch and streaming pipelines, manage metadata and schemas, ensure data quality and reliability, and own projects from technical design through production rollout. Participate in on-call support, observability, automation, and cross-team collaboration.

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.

Spotify is seeking student interns for potential machine learning and AI opportunities across recommendation systems, search and ranking, natural language understanding, generative AI, and audio analysis. This exploratory posting is not tied to a specific team; Spotify will match applicants with suitable projects based on their background, interests, and experience.

Spotify is seeking student candidates for potential machine learning and artificial intelligence internships. Opportunities may involve recommendation systems, search and ranking, natural language understanding, generative AI, audio analysis, and related personalization technologies. This posting expresses interest rather than representing a specific team or role; Spotify will assess applicants’ backgrounds, interests, and experience to identify suitable opportunities.

Build and scale backend and data systems supporting Spotify’s content intelligence platform. Design distributed infrastructure for high-throughput processing of audio, video, text, and images; own projects from architecture through operation; contribute to RFCs, AI/LLM workflows, production integrations, engineering standards, and on-call support. Collaborate with engineering and technical stakeholders to deliver reliable, scalable, performant, and cost-efficient solutions.

Lead Spotify’s Search Personalization strategy across ranking, relevance, retrieval, AI-native search, quality, and trust. Own the multi-cycle roadmap, guide AI-powered features such as semantic search and LLM reranking, establish search quality frameworks, and balance relevance, latency, cost, and freshness. Lead two search squads, influence architecture decisions, align stakeholders and executives, and mentor junior product managers across Spotify’s search platform.

Conduct original machine learning and AI research focused on foundation models, generative AI, post-training, and reinforcement learning for personalization. Develop novel models, methodologies, and evaluation frameworks; design rigorous experiments using real-world datasets; publish findings; collaborate with product and research partners; shape Spotify’s personalization research agenda; and mentor colleagues.

Develop novel machine learning methods and architectures for generative conversational speech-to-speech models. Conduct research in speech synthesis and recognition, collaborate with engineering and data teams to improve production pipelines, and help scale proven research into Spotify products. The role involves developing state-of-the-art models, evaluating quality and realism, supporting new speech use cases, and sharing research expertise across the team.

Lead Engineering Managers and approximately 50 engineers and technicians across Spotify’s IT Studio. Set engineering strategy, improve technical practices, reliability, security, compliance, privacy, and operational health, and partner with product and business leadership on technical investments. The role oversees enterprise technology spanning identity, endpoint management, networking, workplace platforms, collaboration tools, and AI-enabled productivity.

Lead end-to-end instructional and digital learning experience design across live, digital, blended, and self-directed formats. Partner with subject-matter experts and stakeholders to define needs, objectives, and measurable outcomes. Create interactive learning materials using authoring and design tools, apply learning science and inclusive design principles, manage multiple projects, and evaluate effectiveness through learner feedback and performance data. Explore AI-assisted authoring and adaptive learning approaches.

Build and grow Spotify relationships with UK independent agencies through consultative selling, business development, sales propositions, pipeline management, and revenue ownership. Develop trusted agency partnerships, provide advertising product expertise, analyze campaign performance, deliver insights, identify cross-selling opportunities, and collaborate with Product, Marketing, and Data teams. The role is based in London with hybrid attendance required two to three times weekly.

Provide architectural leadership for Spotify’s large-scale media platform, guiding ingestion, transcoding, packaging, storage, delivery, and playback. Lead multi-team technical initiatives, define long-term architecture, author RFCs and design documents, mentor senior engineers, and align technical strategy with reliability, product priorities, and infrastructure costs. The role requires deep expertise in distributed systems, media technologies, codecs, cloud infrastructure, CDN ecosystems, and globally distributed delivery.

Leads multiple engineering teams and sets technical strategy for Spotify’s content catalog platform. Oversees scalable distributed systems, legacy modernization, reliability, content quality, automation, and AI initiatives. Partners with product and business leaders to execute long-term roadmaps, improve content availability, and reduce operational friction. Builds inclusive engineering culture, develops engineering managers, and drives alignment across distributed teams and locations.

Own the strategy and roadmap for converting free users into Spotify Premium subscribers. Lead consumer-facing feature development, experimentation, funnel optimization, and global rollouts across markets. Use behavioral, cohort, and market data to define hypotheses, metrics, and priorities. Partner with design, engineering, marketing, research, data science, and regional teams to improve awareness, acquisition, activation, and conversion while balancing user value, revenue, and operational complexity.

Lead product strategy and end-to-end experience for Spotify audiobooks across mobile apps, from discovery and evaluation through playback, library management, and reading. Partner with Audiobooks, Engineering, Design, Data, Personalization, and other teams to deliver scalable consumer experiences. Use experimentation, data, and user insights to guide decisions, align stakeholders, and drive innovation across listening and reading experiences.

Lead product data science analyses across user behavior and content data to guide product and strategy decisions. Design evaluation frameworks for content classification, taxonomy, safety, and annotation-based measurement. Build scalable metrics, dashboards, reliable analytical datasets, self-serve tools, and data agents. Partner with Product, Engineering, and Operations leaders, while providing methodological leadership, mentorship, and analytical standards across the team.

Develop and maintain Spotify’s native C++ desktop application across macOS and Windows. Build native container capabilities, operating-system integrations, backend services, release tooling, packaging, CI configurations, and delivery pipelines. Collaborate with platform partners and distributed engineering teams, while exploring AI agent integrations for the desktop experience.

Develop and evaluate Spotify subscription propositions across high-growth markets. Build business cases covering opportunity sizing, unit economics, margins, licensing, currency, and cannibalization. Partner with Finance, Product, Legal, Strategy, and market teams to turn ambiguous opportunities into executive-ready recommendations and inform the proposition roadmap.

Analyze Spotify’s planning and execution data to develop hypotheses, statistical and machine learning models, data pipelines, dashboards, and actionable recommendations. The role translates complex operational and strategic information into narratives, reports, and decision frameworks for leaders. It also explores AI and automation for faster insight generation and collaborates with data scientists, engineers, product managers, and business partners across the company.

Lead and grow a distributed team of engineers building Spotify’s experimentation SaaS platform. Responsibilities include hiring, coaching, career development, delivery quality, product prioritization, technical strategy, collaboration with product managers and Staff Engineers, and occasional hands-on engineering. The role is based in Stockholm with hybrid flexibility.