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Music
Manage relationships with Spotify creators in Lifestyle and Wellness, particularly Fitness. Recruit and onboard creators, advise on content and audience growth using performance insights, connect partners with Spotify products and opportunities, and inform creator, content, and product strategy through market feedback and portfolio trends.
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Manage podcast advertising approvals, booking workflows, show launches, sales enablement, and cross-functional operations for The Ringer portfolio. Partner with sales, content, talent, and operations teams to track requests, resolve blockers, maintain booking calendars, support ad format rollouts, and identify process or revenue discrepancies.
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Leads and develops a multidisciplinary team of machine learning, data, and backend engineers building ML systems for music personalization. Provides technical leadership on modeling strategy, system design, tradeoffs, delivery, and operational health; represents the team with senior cross-functional stakeholders; supports hiring, coaching, AI adoption, and hands-on problem solving.
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Lead cross-functional technical programs for large-scale machine learning and personalization initiatives. Manage roadmaps, milestones, dependencies, risks, resources, and delivery of recommendation systems from planning through production. Coordinate ML engineering, data science, product, platform, design, and UX teams; oversee workflows involving experimentation, data infrastructure, model training, and deployment. Provide metrics, dashboards, executive communication, and process improvements while driving alignment through influence.
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Supports global revenue accounting and Order-to-Cash operations, including revenue close, journal entries, accruals, deferrals, reconciliations, e-invoicing, billing, accounts receivable, financial controls, SOX compliance, audits, and system enhancements. Partners with Finance, Tax, Engineering, Sales, Legal, and other teams to improve processes, automate workflows, resolve operational issues, and support strategic initiatives.
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Build and operate scalable backend services, APIs, Java services, and Scio data pipelines that power music video discovery for Spotify listeners. Collaborate with product managers, engineers, and cross-functional partners on system design, experimentation, reliability, and code quality. The role involves distributed high-volume production systems, data-informed decisions, and improving listener experiences through scalable infrastructure.
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Lead and develop a senior-heavy full-stack engineering team building Spotify’s artist promotion campaign management system. Responsibilities include coaching engineers, guiding architecture and technical decisions, partnering with Product and Design, managing dependencies and delivery, contributing hands-on when needed, using AI to improve engineering workflows, and hiring and onboarding team members.
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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.
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Develop novel machine learning methods and architectures for generative conversational speech-to-speech models. Research speech synthesis and recognition, improve model quality and realism, collaborate on data and infrastructure, and help scale proven research into production pipelines and Spotify products.
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Conduct original machine learning and AI research focused on foundation models, generative AI, reinforcement learning, and personalization. Develop models, methodologies, and evaluation frameworks; design rigorous experiments; publish findings; collaborate with product teams; shape Spotify’s research agenda; and mentor colleagues.
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Coordinate revenue accounting for Spotify’s global advertising business, including month-end close, revenue and deferred revenue entries, reconciliations, financial reporting, IFRS and SOX compliance, audits, process improvements, and ERP or system implementations. Partner with Engineering, Sales, Legal, FP&A, Tax, and other teams to develop scalable accounting processes for new revenue streams and advertising products.
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Designs inclusive digital, live, blended, and self-directed learning experiences from needs analysis through evaluation. Creates eLearning, facilitator guides, job aids, presentations, and interactive content using learning science, visual design, storytelling, and authoring tools. Partners with subject-matter experts and stakeholders, evaluates learner outcomes, iterates based on feedback and data, manages multiple projects, and explores AI-assisted and adaptive learning approaches.
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Leads Spotify’s artist and label product organization, setting portfolio strategy across artist tools, promotion, discovery, expression, and insights. Owns business and product outcomes, prioritization, resource allocation, and cross-functional execution. Manages and develops product leaders, advances AI usage in product development, represents artist and label needs, and navigates music-industry relationships, licensing, and platform dependencies.
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Develop product analytics and experimentation for Spotify’s Discovery Mode promotion tools. Build metrics, instrumentation, dashboards, and actionable insights to improve customer engagement and business outcomes. Collaborate with product, engineering, research, design, marketing, and other data science teams to identify opportunities, test hypotheses, and influence product decisions through clear data storytelling.
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Leads global markets strategy for a consumer technology business, partnering with regional market leaders to develop strategies, three-year visions, prioritization, budgets, and growth plans. Performs financial analysis and modeling of regional dynamics, competitors, and peers. Drives cross-regional strategic projects, informs product go-to-market decisions, and aligns teams around company priorities. Requires strong strategic thinking, project management, quantitative analysis, business judgment, and global cross-functional collaboration.
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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.
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Define and own the quality bar for Spotify's AI voice models. Design repeatable evaluation rubrics and run qualitative and MOS-style campaigns. Benchmark against competitors, synthesize findings, recommend improvements, and partner with voice, ML, product, and vendor teams to influence research and production priorities across languages and use cases.
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Lead analytics for the Discovery Mode ML squad: design experiments, build evaluation frameworks, analyze model performance, create dashboards tracking model health and customer metrics, and translate findings into actionable product and engineering improvements.
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The role involves designing and deploying machine learning systems for content safety at Spotify, collaborating with various stakeholders, and providing technical leadership.
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Design, build, and operate secure enterprise AI platform capabilities connecting models, agents, and internal systems. Own major infrastructure workstreams (MCP gateway, enterprise context), build backend services and APIs, enable identity-aware governance (access, permissions, auditing), design agentic workflows, and take operational ownership while partnering with stakeholders to scale dependable AI tooling across Spotify.
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