Jobs at Spotify

Own Spotify’s Freemium product strategy and roadmap in India, improving the journey from free to paid subscriptions. Lead consumer-facing feature discovery, experimentation, launches, and iteration while developing locally relevant Premium experiences. Use funnel, cohort, behavioral, and market insights to prioritize initiatives and measure impact. Partner with engineering, design, research, marketing, partnerships, data science, and regional teams to drive subscriber growth and communicate product decisions and outcomes to senior stakeholders.

Manage and grow advertising client relationships in France for Spotify’s Emerging & Scaled sales team. Responsibilities include consultative selling, pipeline and revenue ownership, sales proposition development, campaign analysis, performance reporting, cross-selling, and collaboration with Product, Marketing, and Data teams. The role requires fluent French and English, digital advertising experience, and periodic travel across France for client meetings, events, and team collaboration.

Lead the architecture and development of Spotify’s large-scale policy enforcement platform. Design APIs, schemas, event-driven pipelines, rule engines, workflow orchestration, and auditable data systems supporting content moderation and regulatory compliance. Establish integration standards, guide migrations, influence platform architecture, make complex contract decisions, and mentor engineers. The role partners with product, legal, licensing, trust and safety, and public affairs teams across global content systems.

Drive new B2B business for Spotify Technology by managing the full sales cycle for companies with fewer than 1,000 employees. Responsibilities include prospecting, discovery, demonstrations, proposals, negotiations, closing, pipeline and forecast management, revenue target attainment, and scalable sales-process development. The role involves selling developer-focused products to technical stakeholders, collaborating with Marketing, Sales Engineering, Product, and Customer Success, and communicating technical and business value effectively.

Develop and productionize machine learning systems that personalize Spotify’s subscription journey, improving conversion, retention, payment experiences, and subscriber growth. Lead ML initiatives from requirements through deployment and impact measurement, build scalable data pipelines and models, maintain reliable and observable systems, collaborate cross-functionally, and contribute to experimentation, optimization, and reusable ML capabilities.

Own the product strategy and roadmap for Spotify Connect, improving device discovery, playback control, and seamless cross-device experiences. Partner with research, data, engineering, design, and other teams to identify user friction, define success measures, deliver reliable products, manage dependencies, run experiments, and communicate product decisions. The role emphasizes technically complex consumer products, privacy, permissions, user control, and continuous roadmap improvement.

Use data analysis, experimentation, statistical modeling, and forecasting to guide Spotify’s product and business strategies. Analyze A/B and quasi-experiments, identify growth opportunities, assess new initiatives, and translate complex findings into actionable recommendations for senior leadership. Partner with cross-functional business teams and communicate insights across varying technical audiences.

Shape Spotify’s TV and Desktop product vision, strategy, experimentation, and user experience. Lead complex cross-functional initiatives from discovery through launch, align engineering, design, insights, and external partners, and communicate product priorities to senior stakeholders. The role requires balancing long-term strategy with hands-on execution while influencing teams without formal authority and elevating product thinking across the organization.

Own revenue and sales operations for Spotify Technology, including CRM, pipeline management, forecasting, territory design, deal desk processes, reporting, and GTM systems. Develop segmented Commercial and Enterprise sales models, improve lifecycle handoffs, support quota and capacity planning, and establish scalable operating rhythms. Partner cross-functionally with Sales, Marketing, Sales Engineering, and Customer Success to improve forecasting, pipeline health, retention, and sales effectiveness.

Build and operate scalable backend services and data pipelines for Spotify’s music content ingestion platform. Responsibilities include ingesting and validating audio, metadata, lyrics, and partner content; designing stable APIs and schemas; improving data quality, real-time validation, reliability, and operational tooling; leading technical projects; participating in planning, code reviews, and on-call; and mentoring engineers while collaborating with content, partner, operations, and product teams.

Lead product design strategy and hands-on execution for Spotify Technology platform products and developer tools. Create intuitive interfaces, visual systems, prototypes, and production-quality front-end experiences. Transform internal engineering tools into commercial products for developers and enterprises, influence product roadmaps, apply generative AI, and champion design systems, accessibility, collaboration, and inclusive design.

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.

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 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.