Music streaming service for listeners and artists
Spotify provides audio streaming of music, podcasts, and audiobooks from major labels and independents. It serves hundreds of millions of monthly users worldwide through free ad-supported and premium subscription tiers. The platform drives revenue to the music industry via royalties while using algorithms for personalized recommendations.
Senior Legal Counsel advising on music publishing and copyright licensing, negotiating complex CMO/PRO/publisher agreements, and ensuring compliance for digital music services. Requires 10+ years of transactional experience in music publishing.
Build and manage relationships with music labels and artists to develop campaigns and strategic initiatives that support Spotify's music partnerships. Requires 5+ years leading marketing or partnership campaigns and music industry experience.
Lead indie label partnerships at Spotify, managing relationships with independent labels, artists, and distributors to develop and execute strategic campaigns. Requires 5+ years in marketing/partnerships and music industry experience.
Lead the end-to-end strategic design of Spotify's subscription portfolio architecture, including tiers, add-ons, bundles, and pricing ladders across markets.
Support Spotify's audiobook publishing by evaluating licensing opportunities, developing original content, and managing deals from concept through release. Requires 5+ years in book publishing with strong editorial and business judgment.
Manage editorial product integration and partnership programs at Spotify, coordinating cross-functional teams to embed editorial content into product experiences and drive partner activations.
Data Scientist leading analytics for Spotify's Discovery Mode ML squad. Designs experiments, builds evaluation frameworks, and partners with ML engineers to improve model performance and customer outcomes.
Drive advertising research and measurement strategy for Spotify, consulting with brands and agencies on performance and conversion-lift tactics while building insights from first-party data.
Own product vision and roadmap for Spotify Home's agentic AI future, evolving personalization from recommendations to autonomous agents. Requires 10+ years PM experience with proven track record shipping production-scale agentic consumer products.
Lead global product enablement and sales training initiatives for Spotify's advertising business, designing programs and resources to support sellers with new ad products and go-to-market readiness. Requires 5+ years in sales enablement or related fields with advertising experience.
Lead strategic 1:1 agency partnerships and scaled programs to drive revenue growth. Requires 8+ years in media/ad tech partnerships, deep knowledge of programmatic and digital advertising ecosystems, and strong executive presence.
Lead ML initiatives building and deploying large-scale content intelligence systems using LLMs, NLP, and multimodal AI. Partner cross-functionally and mentor engineers on production ML architectures.
Leads a regional team of troubleshooting and QA professionals to ensure successful delivery of programmatic and direct advertising campaigns at Spotify. Partners with Sales, Product, and Engineering to resolve technical issues and optimize campaign performance.
Own and grow strategic hardware and audio technology partnerships for Spotify. Lead complex deal negotiations, coordinate with Product/Engineering/Audio teams, and drive technical integrations that improve user experience across speakers and listening devices.
Manage and grow strategic distribution partnerships focused on audiobooks and media platforms. Lead negotiations, operationalize agreements, and coordinate cross-functionally to expand Spotify's reach and user engagement.
As a Senior Machine Learning Engineer, you will evolve large-scale ML pipelines and multimodal embedding frameworks to power Spotify's content-resolution systems. You will improve entity-resolution across music and video content, design experiments, and build scalable ML evaluation and monitoring infrastructure.
As a Staff Engineer, you will lead the design and evolution of data, backend, and ML infrastructure systems for Spotify's Content Intelligence Product Area. You will build scalable infrastructure for multimodal content processing and drive architectural decisions across distributed systems and AI-enabled platform capabilities.
Leads end-to-end creative strategy and optimization for performance and lifecycle marketing channels including Paid Social, Google, and CTV. Analyzes metrics to iterate creative, builds testing frameworks, and implements AI/automation tools. Requires 5+ years in performance creative for consumer tech.
Drive ML development for music recommendation models including candidate generation, ranking, and generative personalization systems at Spotify scale.
Machine Learning Engineer focused on Reinforcement Learning for personalization and reward modeling in Spotify's recommendation systems. Requires RL expertise and experience with LLMs, transformers, and A/B testing.
Provides legal counsel to Spotify's product and business teams on global issues including AI regulations, privacy, IP, and consumer protection. Partners throughout product development, drafts contracts, and ensures compliance across markets. Requires 5+ years experience and JD/LLM.
Leads operations for vendor technical support teams, handles escalations, troubleshoots issues, and bridges customers with engineering to resolve platform problems. Requires 5+ years in technical support ops and familiarity with ad tech, APIs, JavaScript, and debugging.
Oversees global vendor billing support teams, resolves escalations, partners with Finance to build scalable billing systems, ensures compliance, and collaborates with Fraud and other teams to improve accuracy and advertiser experience. Requires 5+ years in billing/revenue operations.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
Builds and scales ML systems for content understanding across audio, video, text, and images at Spotify. Develops models for classification, tagging, semantic analysis, and enrichment using LLMs, enabling automation, quality, and new product features.
Builds backend services in Java and frontend SDKs in React/TypeScript for Spotify's podcast creator tools, including subscriptions, Synced Feeds, and Open Access API. Collaborates cross-functionally to scale revenue features and improve architecture.
Leads cross-functional incident management for Spotify's Ads platform, coordinating between product, engineering, sales, and ops teams to resolve ad serving issues, mitigate revenue loss, and drive long-term fixes. Requires 7+ years in ad operations and experience with programmatic ads and tools like Jira.
Designs, builds, and deploys production ML systems for content safety, moderation, and policy enforcement at Spotify scale. Leads technical initiatives, develops multimodal/LLM models, and collaborates with Trust & Safety, Legal teams on safety-critical systems.
Supports corporate governance, public company compliance including SEC filings and Section 16 reports, share management, and ethics programs for Spotify's legal team. Requires 3+ years in securities/compliance, bachelor's degree, and strong organizational skills.
Lead Spotify’s global podcast policy strategy, shaping AI, safety, monetization, and creator standards. Partner with Legal, Product, Trust & Safety, and external regulators to develop and operationalize scalable policy frameworks.
Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.
Leads engineering team building ML systems for safe personalization recommendations, search, and AI experiences at Spotify. Requires production ML deployment experience, generative AI, scalable backends, and cross-team collaboration.
Leads financial modeling, unit economics, and investment analysis for Spotify's new in-person ventures. Partners cross-functionally on scenario planning and performance governance, requiring 6+ years in FP&A or related fields with sophisticated modeling skills.
Leads a data science team to deliver analytics and insights for Spotify's music editorial and recommendation strategies, focusing on AI integration and human-algorithmic synergies. Requires 7+ years experience, Python/SQL proficiency, and team management skills.
Provide legal counsel on platform liability, content takedown processes, and compliance with safe harbor laws like DMCA and Section 230. Support policy teams, litigation, and scalable enforcement practices for Spotify's global platform. Requires 5+ years experience and expertise in intermediary liability and copyright law.
Lead revenue forecasting, planning, and intelligence for Spotify's global ads business. Own forecasting methodologies, build centralized reporting, and drive AI-powered insights while managing a technical analytics team.
Lead CRM and Martech strategy and execution to drive advertiser acquisition, engagement, and revenue growth. Own roadmap, drive AI/automation adoption, and lead a high-performing team.
Senior PM defining product strategy and roadmap for conversational and AI-powered experiences at Spotify. Partners with engineering, design, and ML teams to deliver scalable consumer products used by millions.
Conducts original research in machine learning and AI focused on large-scale foundation models and generative AI to advance Spotify's personalization systems. Requires Master's/PhD, 2+ years research experience, publications in top conferences, and expertise in recommender systems.
Lead engineering team building Spotify's messaging Selection platform, evolving it from rules-based to ML-driven decision engine. Partner with Product, Data Science, and ML teams to deliver scalable systems impacting user engagement for 700M+ users. Requires 3+ years managing engineers and experience with complex systems.
Manages technical implementation and performance of Spotify's Premium Partnerships in Latin America, collaborating with partners and teams on setups, deliveries, and tooling development. Requires technical proficiency in APIs, SQL, BigQuery, programming, and bilingual English/Spanish skills.
Builds and owns backend systems for promotion delivery and optimization in Spotify's Discovery Mode, delivering scores to personalization systems at scale. Collaborates with ML and data engineers using Java, with exposure to Scala, Python, and AI.
Leads end-to-end marketing strategy for Spotify's B2B SaaS business (SOE) built on Backstage platform, driving revenue growth, developer acquisition, and team leadership. Requires 10+ years in B2B SaaS marketing, experience with technical audiences, and proven revenue impact.
Build and optimize machine learning models to predict and enhance promotional performance for music tracks globally. Collaborate with data and ML teams to productionize scalable systems using Python, TensorFlow, PyTorch, and GCP.
Builds and evolves the Spotify Rights Center web app for music rightsholders to manage content, rights, and disputes. Collaborates with PMs, designers, and backend engineers using TypeScript, React, and modern APIs for complex, accessible UIs.
Analyze and model financial impacts of major label licensing agreements, support royalties forecasting, and provide data-driven insights for Spotify's music business economics. Requires 2+ years analytical experience, advanced SQL, and strong financial modeling skills.
Provides pre-sales technical support for Spotify's Backstage developer portal, assisting clients with integrations, customizations, demos, and troubleshooting. Requires strong software engineering/DevOps background with React, TypeScript, Node, Kubernetes, and cloud platforms.