Jobs at Spotify

Lead product direction for Spotify’s Core Experience platforms, partnering with engineering and cross-functional teams to build scalable shared capabilities. Improve platform adoption, performance, reliability, quality, and technical debt while balancing new opportunities with platform investments. Use experimentation, research, data, and technical exploration to guide decisions, align stakeholders, and deliver consistent consumer experiences across Spotify’s products and integrations.

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.

Own the strategy and roadmap for Spotify’s data catalogue, metadata, and data lineage products. Identify user and business needs, prioritize platform investments, evaluate build-versus-buy solutions, define success metrics, and collaborate with engineering, design, data science, and product teams. The role focuses on improving data discoverability, governance, trust, and usability for data professionals and AI-driven workflows.

Leads a team of data and backend engineers building scalable data products, pipelines, and services for Spotify’s subscription experiences. Partners with product, business, and engineering teams to prioritize work, guide architecture, improve reliability, manage dependencies, and support targeting, personalization, messaging, and machine learning. Coaches engineers, supports career growth, promotes inclusive collaboration, and explores AI and automation to improve workflows and data quality.

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.

Lead the vision, strategy, and roadmap for Spotify’s session management capabilities across apps, devices, and partner integrations. Improve sign-in persistence, device connections, session transfers, authorization, consent, privacy, and account protection. Partner with engineering, design, research, security, client, device, and partnership teams to prioritize improvements, develop reusable APIs and components, measure outcomes, and balance user experience with technical investment.

Lead end-to-end audiobook product experiences across discovery, conversion, listening, content pipelines, and creator tooling. Develop product strategy, identify ecosystem friction, prioritize opportunities using qualitative and quantitative insights, define success metrics, and collaborate with Design, Engineering, Product Insights, Program Management, Personalization, Subscriptions, and creator-facing teams to improve experiences for listeners, creators, and rights-holders.

Lead product vision and strategy for Spotify’s books, podcasts, and music formats. Define end-to-end consumer experiences spanning discovery, engagement, library management, and retention. Partner with business, engineering, design, data, and personalization teams to drive scalable cross-format innovation, experimentation, and growth. Align senior stakeholders, lead multiple initiatives, mentor product managers, and elevate product craft.

Manage client partnerships and consultative sales for Spotify’s advertising business in the German/DACH market. Responsibilities include developing sales pipelines, crafting proposals, achieving revenue targets, analyzing campaign performance, identifying cross-selling opportunities, and collaborating with Product, Marketing, and Data teams. The role is London-based with hybrid work and periodic travel to Germany.

Lead and coach a team of 10+ senior and Staff machine learning engineers focused on audio, video, and text content understanding. Set technical strategy, guide modeling and retrieval decisions, deliver high-priority cross-functional initiatives, and contribute hands-on as needed. Shape long-term audio understanding expertise, promote practical AI use in engineering workflows, and partner with product, design, research, and engineering leaders.

Build and operate Spotify’s lakehouse and BigQuery platforms at scale. Develop backend services supporting Apache Iceberg, migrate pipelines, manage BigQuery capacity, create monitoring and tooling, and troubleshoot production issues across storage, Kubernetes, IAM, and processing systems. Participate in support and on-call rotations while improving reliability, cost efficiency, and user enablement across global teams.

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.

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.

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.

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.