Spotify
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Mission Statement
The Subscriptions Mission builds and evolves Spotify's subscription products and marketplace experiences to drive sustainable user and revenue growth globally. We focus on awareness, acquisition, activation, retention, and monetization strategies that help users unlock the full value of Spotify while enabling the business to scale efficiently and responsibly.
About the Team
This role sits at the heart of the Subscriptions Mission and owns how users move through the freemium funnel — from the moment a free user encounters Premium value, through trial, conversion, activation, and into long-term retention. You’ll partner closely with product, design, marketing, finance, pricing & packaging, and regional commercial teams to shape the end-to-end subscriber journey across plans and markets.
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The Performance Optimization Squad is a newly formed team in the Core Infrastructure Studio with a mission to establish a core competency in performance engineering and address systemic inefficiencies across Spotify's platform. With 3,200+ microservices, 40,000 VMs at peak, and 500,000 K8s pods, even minor fleet-wide efficiency improvements result in substantial cost savings. We've already identified $8M+ in annual savings from our first initiative alone, and we're just getting started.
This squad works horizontally across the entire stack — but none of that optimization happens without the data to see it. We're looking for a Data Analyst who will build the measurement foundation that drives every decision we make.
What You'll Do
Optimization at this scale is only possible when someone can see the problem clearly. You'll build the data foundation from scratch; designing and owning the datasets, pipelines, and metrics that make performance inefficiencies visible across the platform.
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We are looking for an outstanding Client Partner to join our UK Enterprise Sales Team! This Client Partner will be an individual contributor responsible for the growth of key accounts. Our new Client Partner is someone with a true love for Spotify and a drive to produce creative and innovative solutions for our key clients and partners.
You’re confident while staying humble, work hard, and know how to have fun. Above all, your work will impact the way the world experiences music and podcasts on Spotify.
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Senior Machine Learning Engineer, Zeitgeist, Personalization
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The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else and by leveraging the latest in Generative AI. Join us and you’ll give millions of listeners great music and talk experiences, personalized to each and every one of them.
The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. This is a team of about a hundred AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts.
You’ll join the Zeitgeist squad within the AI Foundation team. We focus on building the systems and models that help Spotify understand culture in real time—what’s trending, why it matters, and how it shapes listening. You’ll leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences. This is an exciting mix of platform-level content understanding and experience-level user presentation.
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What You'll Do
Contribute to scalable legal resources such as playbooks, templates, and training materials to support a growing business
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The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
We’re looking for an Analytics Engineer II to join Spotify's Platform Central Data (PCD) squad, a cross-functional Data Engineering and Analytics Engineering team within the Platform Mission. You’ll help build and maintain trusted analytical models, metrics, and data products that power developer productivity, platform health, and leadership decision-making. Working closely with Data Engineers, Product, Engineering, and Platform partners, you’ll translate platform signals into reliable, well-modeled data assets that help Spotify ship faster and safer.
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Spotify for Authors (SFA) is the creator platform for the audiobook industry — a web application that gives publishers, authors, and narrators tools to manage their catalog, track performance, and distribute content on Spotify. We're scaling toward 100,000 users across a React/TypeScript frontend, Java backend services, and data pipelines that feed into Spotify's broader audiobook ecosystem.
SFA connects to Spotify's highest-priority bets: expanding audiobook access, building content creation tools, and shaping discovery surfaces. We operate with a "short toes" philosophy — contribution has no borders, quality is shared, and we use modern tools (including AI) to reduce toil and amplify creativity.
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Spotify’s Legal team is growing. We’re facing innovative challenges that mirror the ground-breaking industry and product at the heart of our company. As we’ve expanded into more than 184 countries and our company has grown tremendously, we find ourselves facing new and interesting legal issues every day.
As Legal Counsel, Platform Liability & Enforcement at Spotify, you will help supervise Spotify’s legal takedown practices and policies and you will provide legal support for the teams that develop, implement, and support Spotify’s content policies. You will also work directly to resolve claims related to these policies and help build out processes for scale. Your experience making risk-based assessments and proactively finding solutions to complex problems will be crucial.
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The Messaging Platform powers Spotify’s communications to over a billion users — from push notifications to emails and in-app messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization: deciding which message reaches which user, through which channel, and at what moment.
We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel.
What You'll Do
Who You Are
- You have strong experience building and deploying machine learning models in production environments at scale
- You are comfortable translating business problems into ML solutions and discussing trade-offs with cross-functional partners
- You have worked on complex optimization problems such as ranking systems or multi-objective decision-making
- You bring hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks
- You understand experimentation deeply and can design reliable tests in environments with interacting metrics
- You are able to analyze results using approaches like causal inference or metric decomposition when needed
- You have experience with or curiosity about reinforcement learning and long-term optimization systems
- You enjoy working across disciplines and navigating ambiguity while shaping strategy and direction
Where You'll Be
- This role is based in London and Stockholm
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
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We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
You’ll join the Core Experience Studio, where we shape how millions of people interact with Spotify every day. Within this, the Core Value & Engagement (CV&E) product area focuses on making the core app more engaging and seamless across key user journeys.
CV&E is a fast-growing area made up of multiple squads working on high-impact experiences like social features, personalized moments, and playlist capabilities. You’ll work closely with engineering, product, design, and insights leaders to scale both the technology and the teams behind these experiences.
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We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
About the Team
The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.
Our work is critical to every new content type and product experience—from messaging and comments to collaborative and emerging AI-driven features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that safety is built into Spotify experiences from the start.
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Senior Machine Learning Engineer - Personalization, Horizon
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The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
You’ll join the Horizon Product Area within the Sessions Studio, part of Spotify’s Personalization Mission. This team focuses on inventing and evolving new listening experiences powered by emerging technologies. From AI DJ to promptable playlists and generated podcasts, we’re exploring how agentic systems and generative AI can reshape how people interact with audio. You’ll work at the intersection of product innovation and cutting-edge machine learning to bring entirely new experiences to life for millions of listeners.
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We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.
We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images—enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.
What You Will Do
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We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines.
Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.
What You'll Do
Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
Own and lead key technical initiatives across detection, classification, and policy evaluation systems
Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
Represent technical decisions and trade-offs in stakeholder discussions and influence product direction
Who You Are
You have solid experience building and deploying machine learning systems in production environments at scale
You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
You care about building safe, responsible, and user-centric ML systems
You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
You have experience leading technical projects and influencing direction within a team or product area
You have experience with distributed systems or backend technologies (e.g., Scala)
Where You'll Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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What You'll Do
Collaborate with cross-functional partners across finance, accounting, and licensing to support agreement execution and implementation
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Engineering Manager - Core Experience (Format Foundations)
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We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
You’ll join the Core Experience Studio within Spotify’s Experience Mission, working in the Format Foundations Product Area. This space builds the foundations behind how users experience artists, albums, podcasts, and more across the app.
Within this area, you’ll lead Meadow — a backend platform team that powers scalable, content-agnostic metadata delivery. Meadow sits at the heart of many Spotify experiences, enabling teams across Music, Podcasts, Audiobooks, and beyond to build consistent, high-quality user experiences.
What You'll Do
Lead a backend engineering team, with accountability for delivery, technical direction, and team health
Define and evolve the technical strategy for metadata delivery systems, including fan-out serving, versioned contracts, and caching
Shape the long-term vision of the team in line with Core Experience and broader platform strategy
Partner closely with product, design, and engineering leaders to align priorities and drive execution
Enable adoption of platform capabilities across multiple consumer-facing teams and content verticals
Guide architectural decisions, review implementations, and help unblock complex technical challenges
Drive adoption of AI-assisted development practices to improve speed, quality, and developer experience
Support and grow engineers, fostering an inclusive and collaborative team environment
Who You Are
You have strong experience building and scaling backend systems for data delivery or platform infrastructure
You understand patterns like fan-out architectures, API versioning, and caching strategies
You have worked across end-to-end data systems, from pipelines to distribution layers
You have experience leading engineering teams and supporting individuals in their growth
You’ve contributed to cross-team technical strategy and aligned stakeholders around shared outcomes
You are comfortable working with AI-assisted development tools and guiding teams in their use
You think in systems and platforms, balancing the needs of internal developers and end users
You care deeply about building inclusive teams where people feel supported and empowered
You’re curious, adaptable, and comfortable navigating ambiguity
Where You'll Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Ready to apply?
Apply to Spotify
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
We’re building one of Spotify’s most social and engaging experiences: Jam. Jam brings people together through music, enabling friends and groups to listen in real time, wherever they are. It transforms listening from a solo activity into a shared experience and plays an important role in how Spotify connects users through audio.
You’ll join a cross-functional team working across mobile, backend, and platform technologies to shape how millions of people experience music together.
What You'll Do
Lead, support, and grow a team of engineers across iOS, Android, backend, and cross-platform technologies
Drive delivery of features that power real-time, shared listening experiences
Collaborate closely with Product, Design, and Engineering leaders to shape vision, strategy, and roadmaps
Guide the team through complex technical challenges such as real-time synchronization, device connectivity, and cross-platform consistency
Enable high-quality, reliable user experiences across devices and platforms
Foster a culture of ownership, continuous improvement, and strong engineering practices
Create an inclusive and healthy team environment where individuals can grow and do their best work
Who You Are
You have experience leading and developing engineering teams, including hiring, coaching, and performance management
You are experienced with building and scaling complex systems, ideally in real-time or distributed environments
You have a strong understanding of software engineering across mobile and backend technologies
You care about building inclusive, collaborative teams and creating a positive team environment
You are comfortable working across disciplines and influencing product and technical direction
You balance execution with long-term thinking and make thoughtful, pragmatic decisions
You have experience solving challenges related to synchronization, connectivity, or cross-platform development
Where You'll Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Ready to apply?
Apply to Spotify
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.
We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify.
What You Will Do
Shape the machine learning strategy for content understanding and platform-level decisioning
Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
Design and deploy models across text, audio, image, and video domains
Build systems that enable controlled, reliable access to content and metadata for downstream applications
Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
Improve automation to reduce manual intervention while maintaining high standards of trust and quality
Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design
Who You Are
You have strong experience building production-grade machine learning systems at scale
You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
You have worked with or are interested in multimodal machine learning
You understand how to design systems that balance automation with quality, safety, and user experience
You are comfortable working on complex, ambiguous problems with high impact
You think in systems, connecting models to platform-level outcomes and user experiences
You care deeply about data quality, evaluation rigor, and system reliability
You communicate clearly and influence across technical and non-technical teams
Where You Will Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Ready to apply?
Apply to Spotify
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience Mission is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of users around the world, bringing the music, audio, and video they love to the devices, apps, and platforms they use every day.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats. We make sure that everything—from licensed tracks to creator submissions and user-generated content—is delivered in a way that’s trusted, safe, and high quality at global scale. Our work sits at the heart of Spotify’s ecosystem, shaping how content is ingested, understood, governed, and distributed.
We’re seeking an Engineering Manager to lead a team focused on delivering content across Spotify’s ecosystem—ensuring that metadata and media flow efficiently and reliably from a wide range of internal systems to our apps and partner platforms. This work underpins every play, recommendation, and interaction, requiring systems that are scalable, observable, and resilient.
What You'll Do
Lead and grow a team of engineers building large-scale systems that power how content is delivered across Spotify
Set technical direction and guide the evolution of backend systems responsible for content distribution
Partner closely with product, design, and platform teams to deliver reliable, high-impact solutions
Ensure highly available, scalable, and performant infrastructure supporting millions of content interactions
Foster a culture of ownership, collaboration, and continuous improvement within your team
Support engineers through coaching, feedback, and career development
Drive execution across complex, cross-functional initiatives involving multiple systems and stakeholders
Champion best practices in reliability, observability, and system design
Who You Are
You have experience leading and developing engineering teams in a fast-paced, product-driven environment
You bring strong technical experience in distributed systems, backend platforms, or infrastructure at scale
You know how to balance technical direction with people leadership, creating clarity and focus for your team
You are comfortable working across teams and aligning stakeholders toward shared goals
You care deeply about building reliable systems that impact millions of users
You have experience with high-throughput, low-latency systems or data/content delivery pipelines
You communicate clearly and foster an environment where ideas are shared openly
You are motivated by developing others and building inclusive, high-performing teams
Where You'll Be
This role is based in Stockholm or London
We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home
Ready to apply?
Apply to Spotify
Senior Staff Machine Learning Engineer - Content Policy & Safety
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We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow, driven by advances in AI and new creation tools—we’re investing in systems that ensure content remains safe, compliant, and high quality.
We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators.
What You Will Do
Define & drive machine learning strategy for safety, policy enforcement, and compliance systems
Build and scale ML systems for detection, classification, and risk assessment across content
Develop automated decisioning systems that ensure consistent, reliable enforcement of policies
Design systems that support real-time and large-scale content evaluation
Collaborate with product, policy, and trust & safety teams to operationalize content standards
Improve automation to reduce manual intervention,maintaining high quality and safety standards
Drive best practices in evaluation, fairness, and system reliability
Mentor engineers and contribute to technical direction across teams
Who You Are
You have strong experience building production-grade machine learning systems at scale
You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar
You have worked on systems where ML outputs influence real-world decisions
You understand how to design systems that balance automation with safety and user experience
You are comfortable working on complex, ambiguous problems with high impact
You think in systems and understand how models connect to platform-level outcomes
You care about data quality, evaluation rigor, and system reliability
You communicate clearly and influence across technical and non-technical teams
Where You Will Be
This role is based in London or Stockholm
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Ready to apply?
Apply to Spotify
- Partnerships with record labels, distributors, and music publishers: we develop new products through upfront collaboration
- Choice in participation: artists and rightsholders decide if and how they engage with generative AI tools
- Fair compensation and new revenue: we create new revenue streams while ensuring proper credit and compensation
- Artist-fan connection: our tools are designed to support creativity and deepen the relationship between artists and fans
What You'll Do
Who You Are
Where You'll Be
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Associate Client Partner - Emerging & Scaled (New Business, German Speaking)
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The Emerging & Scaled team is focused on unlocking growth from new and growing advertisers across Spotify’s ads business. The New Business team brings first-time advertisers onto the platform and builds the foundation for long-term partnerships. Germany is a key market within our Northern Europe E&S organization. Based in London, you will partner closely with our existing German Client Partners and Sales leadership to build a dedicated New Business pipeline and expand Spotify’s advertiser base across Germany.
This role focuses on new business acquisition. You will source, qualify, and close net-new advertisers, building relationships from scratch and converting first-time buyers into long-term Spotify partners. Reporting to the Head of E&S Europe, you will be part of a dedicated cross-market New Business team focused on net-new advertiser acquisition and revenue growth across Europe.
You’re motivated, proactive, and energized by building new relationships.. Integrity and a healthy work-life balance are non-negotiable. You’ll shape how new advertisers discover Spotify and elevate their connection to our platform.
What You'll Do
• New Business Acquisition: Own a portfolio of prospective accounts across the German market, proactively identifying, qualifying, and converting net-new advertisers into active Spotify partners through proactive outbound prospecting.
• Outreach & Prospecting: Execute multi-channel outreach motions including account research, persona mapping, personalized email sequences, and LinkedIn engagement. Create and leverage mockups (audio, video, display) to drive responsiveness and first-time advertiser adoption.
• Pipeline Management: Maintain a healthy pipeline with rigorous Salesforce hygiene, accurate forecasting, and consistent meeting cadence. Drive toward quarterly net-new revenue targets and advertiser onboarding milestones.
• Client Activation: Close deals and onboard new advertisers, ensuring strong activation on Spotify Ads Manager and biddable channels. Monitor account performance after activation.
• Collaboration & Handoffs: Partner with existing accounts that are lapsed or dormant, and build new top-of-funnel pipeline opportunities. Collaborate with existing Client Partners to ensure smooth account transitions when accounts graduate beyond New Business thresholds.
• Product Expertise: Develop deep expertise in Spotify’s ad products, formats, and buying channels. Stay ahead of product innovations and monitor marketplace shifts to continuously refine your prospecting approach.
• Market Development: Build relationships with key agencies and holding companies in Germany to unlock new brand-direct and agency-led opportunities.
Who You Are
• Hunter Mentality: You have 4+ years of experience in digital media sales minimum, ideally in a New Business or acquisition-focused role. You excel at cold outreach, account mapping, competitive research, and crafting personalized messaging that drives response.
• Organized & Self-Reliant: You independently manage a high-volume book of prospective accounts with confidence, prioritizing engagements with efficiency.
• Articulate: You are an effective communicator, clearly articulating Spotify’s value proposition and understanding client business needs.
• Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. You thrive on building something new.
• Commercially Driven: You thrive on exceeding targets and making a tangible impact. Experience in ad tech, programmatic, or audio advertising is a plus.
• Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise.
• Fluent German and English language, spoken and written, is required.
• Please apply with a CV in English.
Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week and are open to periodic travel across Germany for client meetings, events, and team collaboration.
Ready to apply?
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Associate Client Partner - Emerging & Scaled (New Business, French Speaking)
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The Emerging & Scaled team is focused on unlocking growth from new and growing advertisers across Spotify’s ads business. The New Business team brings first-time advertisers onto the platform and builds the foundation for long-term partnerships. France is a high-growth market within our E&S organization. Based in London, you will partner closely with our existing French Client Partners and Sales leadership to build a dedicated New Business pipeline and expand Spotify’s advertiser base across Europe.
This role focuses on new business acquisition. You will source, qualify, and close net-new advertisers, building relationships from scratch and converting first-time buyers into long-term Spotify partners. Reporting to the Head of E&S Europe, you will be part of a dedicated cross-market New Business team focused on net-new advertiser acquisition and revenue growth across Europe.
You’re motivated, proactive, and energized by building new relationships.. Integrity and a healthy work-life balance are non-negotiable. You’ll shape how new advertisers discover Spotify and elevate their connection to our platform.
What You'll Do
• New Business Acquisition: Own a portfolio of prospective accounts across the French market, proactively identifying, qualifying, and converting net-new advertisers into active Spotify partners through proactive outbound prospecting.
• Outreach & Prospecting: Execute multi-channel outreach motions including account research, persona mapping, personalized email sequences, and LinkedIn engagement. Create and leverage mockups (audio, video, display) to drive responsiveness and first-time advertiser adoption.
• Pipeline Management: Maintain a healthy pipeline with rigorous Salesforce hygiene, accurate forecasting, and consistent meeting cadence. Drive toward quarterly net-new revenue targets and advertiser onboarding milestones.
• Client Activation: Close deals and onboard new advertisers, ensuring strong activation on Spotify Ads Manager and biddable channels. Monitor account performance after activation.
• Collaboration & Handoffs: Partner with existing accounts that are lapsed or dormant, and build new top-of-funnel pipeline opportunities. Collaborate with existing Client Partners to ensure smooth account transitions when accounts graduate beyond New Business thresholds.
• Product Expertise: Develop deep expertise in Spotify’s ad products, formats, and buying channels. Stay ahead of product innovations and monitor marketplace shifts to continuously refine your prospecting approach.
• Market Development: Build relationships with key agencies and holding companies in the French market to unlock new brand-direct and agency-led opportunities.
Who You Are
• Hunter Mentality: You have 4+ years of experience in digital media sales minimum, ideally in a New Business or acquisition-focused role. You excel at cold outreach, account mapping, competitive research, and crafting personalized messaging that drives response.
• Organized & Self-Reliant: You independently manage a high-volume book of prospective accounts with confidence, prioritizing engagements with efficiency.
• Articulate: You are an effective communicator, clearly articulating Spotify’s value proposition and understanding client business needs.
• Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. You thrive on building something new.
• Commercially Driven: You thrive on exceeding targets and making a tangible impact. Experience in ad tech, programmatic, or audio advertising is a plus.
• Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise.
• Fluent French and English language, spoken and written, is required.
• Please apply with a CV in English.
Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week and are open to periodic travel across France for client meetings, events, and team collaboration.
Ready to apply?
Apply to Spotify
We are looking for a Senior Applied Research Engineer who brings deep research expertise and strong engineering skills across both audio and video. In this role, you will help advance how Spotify understands, evaluates, and improves media experiences across platforms. You’ll work across the full media pipeline—from backend processing such as ingestion, encoding, and delivery to frontend playback, buffering, and synchronization—solving product problems with research discipline: structured experiments, solid metrics, and evidence-based decisions, in a real production environment.
You’ll join a team working at the intersection of media quality, perception, and engineering. The team builds applied solutions that improve how audio and video experiences perform across Spotify. By turning deep technical understanding into scalable capabilities, they help ensure a consistent, high-quality experience for hundreds of millions of users across devices and platforms.
What You'll Do
Own research-to-production work across audio/video signal processing, perceptual quality, and media intelligence.
Partner with teams to integrate prototypes into production systems and decision-making across areas like music and video information retrieval and quality-aware processing.
Work across the full media pipeline, from encoding and delivery to playback, buffering, and synchronization.
Build evaluation frameworks and support media platform and codec decisions grounded in measurement.
Design perceptual studies, develop tooling that connects quality metrics to real user experience outcomes.
Collaborate with multi-functional teams, turning research insights into scalable capabilities used across Spotify.
Help improve how we evaluate and enhance media quality across the platform.
Drive high-impact initiatives from idea through to measurable outcomes.
Who You Are
You have 8+ years of experience in applied research and engineering in media technology, audio, or video.
You bring deep expertise in audio and/or video, with working knowledge across both domains.
You understand media systems end-to-end, from backend processing through to client-side playback.
You have strong foundations in signal processing and experience with perceptual quality or feature design.
You are comfortable working in Python and have experience with C++ or similar languages.
You have experience running perceptual evaluations or quality benchmarking.
You enjoy building systems that move from research into real-world impact.
You collaborate effectively across disciplines and communicate complex ideas clearly.
You are curious, pragmatic, and motivated by solving meaningful problems.
Where You'll Be
Ready to apply?
Apply to Spotify
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience Mission is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of users around the world, bringing the music, audio, and video they love to the devices, apps, and platforms they use every day.
This position sits at the heart of Spotify’s Content Platform, responsible for the systems that define, structure, and govern all content across the platform. Our mission is to provide a trusted, consistent source of truth so content can be reliably managed and reused across every Spotify experience. We build and operate the core systems and workflows that ensure content is accurate, complete, and available; from APIs and life cycle orchestration through to content quality and integrity.
As Spotify’s content ecosystem continues to grow in scale and complexity — across new formats, use cases, and regulatory environments — this domain plays a critical role in ensuring we scale intentionally while maintaining the trust and quality our users and creators expect.
We’re now seeking a Director of Engineering to lead this domain — shaping its technical direction, developing teams, and evolving the systems that underpin Spotify’s global content platform.
What You’ll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
Associate Client Partner - Emerging & Scaled (New Business)
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The Emerging & Scaled team is focused on unlocking growth from new and growing advertisers across Spotify’s ads business. The New Business team brings first-time advertisers onto the platform and builds the foundation for long-term partnerships. In the UK—our most mature E&S market—this role plays a key part in accelerating new advertiser acquisition.
This role focuses on new business acquisition. You will source, qualify, and close net-new advertisers, building relationships from scratch and converting first-time buyers into long-term Spotify partners. Reporting to the Head of E&S Europe, you will be part of a dedicated cross-market New Business team focused on net-new advertiser acquisition and revenue growth across Europe.
You’re motivated, proactive, and energized by building new relationships.. Integrity and a healthy work-life balance are non-negotiable. You’ll shape how new advertisers discover Spotify and elevate their connection to our platform.
What You'll Do
• New Business Acquisition: Own a portfolio of prospective accounts across the United Kingdom market, proactively identifying, qualifying, and converting net-new advertisers into active Spotify partners through proactive outbound prospecting.
• Outreach & Prospecting: Execute multi-channel outreach motions including account research, persona mapping, personalized email sequences, and LinkedIn engagement. Create and leverage mockups (audio, video, display) to drive responsiveness and first-time advertiser adoption.
• Pipeline Management: Maintain a healthy pipeline with rigorous Salesforce hygiene, accurate forecasting, and consistent meeting cadence. Drive toward quarterly net-new revenue targets and advertiser onboarding milestones.
• Client Activation: Close deals and onboard new advertisers, ensuring strong activation on Spotify Ads Manager and biddable channels. Monitor account performance after activation.
• Collaboration & Handoffs: Partner with existing accounts that are lapsed or dormant, and build new top-of-funnel pipeline opportunities. Collaborate with existing Client Partners to ensure smooth account transitions when accounts graduate beyond New Business thresholds.
• Product Expertise: Develop deep expertise in Spotify’s ad products, formats, and buying channels. Stay ahead of product innovations and monitor marketplace shifts to continuously refine your prospecting approach.
• Market Development: Build relationships with key agencies and holding companies in the United Kingdom to unlock new brand-direct and agency-led opportunities.
Who You Are
• Hunter Mentality: You have 4+ years of experience in digital media sales minimum, ideally in a New Business or acquisition-focused role. You excel at cold outreach, account mapping, competitive research, and crafting personalized messaging that drives response.
• Organized & Self-Reliant: You independently manage a high-volume book of prospective accounts with confidence, prioritizing engagements with efficiency.
• Articulate: You are an effective communicator, clearly articulating Spotify’s value proposition and understanding client business needs.
• Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. You thrive on building something new.
• Commercially Driven: You thrive on exceeding targets and making a tangible impact. Experience in ad tech, programmatic, or audio advertising is a plus.
• Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise.
Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week and are open to periodic travel across the UK for client meetings, events, and team collaboration.
Ready to apply?
Apply to Spotify
You will join the Release squad within our Client Platform Studio in the Platform mission. This team builds the tools, systems, and workflows that enable Spotify engineers to release software safely, quickly, and with confidence.
We focus on reliability, developer productivity, and standardization—powering the invisible machinery behind Spotify’s engineering experience. You’ll work on internal platforms that impact thousands of engineers and directly shape how software gets delivered at scale.
What You'll Do
Who You Are
Where You'll Be
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Ready to apply?
Apply to Spotify
At Spotify, we’re on a mission to unlock the potential of human creativity by connecting millions of listeners with the creators they love. Within the Client Platform Studio, the Synchrotron squad builds the architectural foundation that powers our mobile experiences.
As our mobile codebase continues to grow, we’re focused on keeping development efficient, scalable, and enjoyable for engineers across Spotify. This team enables developers to move fast by reducing complexity, improving system boundaries, and creating clear, reliable building blocks for application development.
What You'll Do
Who You Are
Where You Will Be
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Ready to apply?
Apply to Spotify
We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
We’re seeking a Senior Product Manager to lead the playback experience across Spotify’s mobile apps. This is one of the most highly used parts of the product, where millions of users engage with music, podcasts, audiobooks, and video every day. You’ll shape how content, controls, and context come together to create seamless, personalized listening experiences in real time.
What You'll Do
Lead product strategy for Spotify’s playback experience, shaping how listening becomes more engaging, rewarding, and valuable for users, creators, and the business
Define and evolve the user experience and information architecture across playback surfaces
Partner closely with engineering, design, and cross-functional teams to deliver high-quality experiences
Drive innovation across content layers, playback modes, and contextual experiences
Translate complex technical systems into clear product direction and user value
Use data, experimentation, and user insights to inform decisions and continuously improve the experience
Align stakeholders across multiple product areas to ensure a cohesive and scalable ecosystem
Lead cross-functional initiatives end-to-end, owning scope, alignment, and delivery
Who You Are
You have 5+ years of experience in product management, ideally working on consumer-facing products
You’re experienced building for mobile platforms such as iOS and Android, including complex user interfaces
You understand how to build scalable systems and experiences that enable teams to move faster
You’re able to balance user experience, technical constraints, and business impact
You care deeply about creating intuitive, high-quality experiences at scale
You’ve worked closely with engineering, design, and data partners to bring products to life
You’re comfortable navigating ambiguity and bringing clarity across teams
You’ve influenced stakeholders across functions and levels to drive alignment and outcome
Where You'll Be
This role is based in Stockholm or London.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
This team operates within the Central European and GMT time zone for collaboration.
Ready to apply?
Apply to Spotify
Senior C++ Engineer - Mobile Infrastructure - Connectivity
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Mission Statement
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
You’ll join the Connectivity squad within Spotify’s Core Infrastructure studio. This team owns the client networking stack end-to-end, from HTTP requests to real-time messaging and connection state management. Working at the intersection of mobile platforms and backend systems, the squad plays a critical role in ensuring seamless connectivity for hundreds of millions of users globally.
This is an opportunity to join early in the squad’s formation, working alongside a small group of senior engineers with high ownership and direct influence on technical direction. You’ll collaborate closely with backend teams to shape client-server communication, protocols, and reliability at scale.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
What if the systems you built changed how millions of developers work — not just at Spotify, but across the industry? The Platform Developer Experience (PDX) team builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX, the Wingspan team is building the next generation of fleet management and reimagining how we interact with AI agents — and bringing those capabilities to market through Portal, Spotify’s external developer platform built on Backstage.
What You'll Do
• Lead and grow a team building AI-native backend systems that orchestrate large-scale, autonomous fleet changes
• Define the technical vision for integrating LLM-powered reasoning and agent-based execution into production infrastructure
• Architect systems where AI agents analyze service metadata, generate safe change plans, execute updates, and validate outcomes
• Establish safety boundaries, evaluation frameworks, and observability models for AI-driven automation at scale
• Drive responsible AI adoption by embedding governance, auditability, and human-in-the-loop safeguards into system design
• Balance rapid experimentation with platform reliability, ensuring intelligent automation meets production-grade standards
• Partner with product and go-to-market teams to position Portal and AI fleet management as a leading developer platform
• Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems
Who You Are
• You have 3+ years of experience leading engineering teams working on distributed systems or developer platforms at scale
• You have 5+ years of experience in backend engineering with strong expertise in Java, Python, and/or Node.js
• You have experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tooling into real-world systems
• You understand how autonomous systems make decisions and how to design guardrails that ensure safety, reliability, and traceability
• You think in systems, considering data flows, model behavior, orchestration layers, and operational impact
• You are comfortable leading in emerging technical domains where patterns are still forming
• You create inclusive environments where diverse perspectives strengthen technical and product decisions
• You communicate clearly across engineers, product leaders, and executives about both the opportunities and risks of AI-driven systems
Where You'll Be
Ready to apply?
Apply to Spotify
We’re looking for Backend Engineers to join Spotify’s Core Infrastructure team. You’ll help build and improve the foundational systems that power Spotify, enabling engineers across the company to deliver reliable and scalable experiences to millions of listeners worldwide.
This team focuses on content delivery management (CDN) and the internal platform that supports it, making it easier for engineers at Spotify to build, scale, and manage global traffic efficiently.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
Samba sits at the heart of Spotify’s personalization engine, powering experiences like autoplay, radio, and personalized mixes. We work on complex sequencing and optimization problems—balancing what users love with how Spotify supports creators and the business.
Our team blends machine learning, backend engineering, and data expertise, and collaborates across North America and Europe to deliver impactful, real-time personalization at scale.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
At Spotify, our vision is to provide the perfect recommendations for every moment. We've already connected millions of people to their favorite songs and podcasts, and created a service that people use to discover and share the content they love.
We are now growing our world-class Audiobook editorial team, looking for individuals who can connect amazing stories with the just right moods, moments and genres to listeners who will love them.
Spotify is seeking an Editor, Audiobooks – Southern Europe to join our Audiobooks team. In this role, you will build and develop editorial programming across key Southern European markets, including Italy, Spain, and Portugal, with a focus on non-English language storefronts. You will grow your experience of strategic collaboration with cross-functional teams to support key marketing campaigns and celebrate unique cultural moments.
The right candidate has a solid grounding in books editorial and/or bookselling, has gained hands-on experience with digital content, and is developing a deep understanding of the publishing industry with a genuine passion for all things books. You'll be fluent in Italian and Spanish and have a deep knowledge of the cultures and publishing landscapes of your markets. Fluency in an additional Southern European language, such as Portuguese, would be a bonus. You'll be organised, a strong communicator, and eager to grow in a fast-paced, collaborative environment working alongside a variety of teams and partners.
What You'll Do
Develop and contribute to editorial strategy for audiobooks across Southern European markets, including Italy, Spain, and Portugal, building your understanding of regional publishing landscapes and cultural moments.
Manage ongoing editorial updates, collections, and playlists, with a focus on continuous improvement and testing of new approaches.
Collaborate on and implement editorial recommendations based on a growing understanding of data and business goals, to attract new and diverse audiences.
Develop day-to-day relationships with sales representatives at key publishing houses across the region, including Italian- and Spanish-language publishers.
Support the programming of editorial content on platform as needed.
Use research, cultural insights, and data analytics to continually enhance the editorial lens for our audiobooks platform.
Collaborate cross-functionally with wider Spotify teams — including growth, marketing, PR, product, engineering, and operations — to highlight and champion audiobooks.
Track, analyse, and communicate key quantitative metrics and business trends.
Who You Are
3–5 years of experience editing, curating, or merchandising content at a digital-first platform, a publishing house, or a major books retailer.
Fluency in Italian and Spanish and strong English communication skills, with the ability to collaborate with global teams; proficiency in Portuguese or other Southern European languages is a plus.
A growing understanding of the Southern European publishing landscape and a passion for connecting listeners with great content.
An ability to balance commercial recommendations with diverse, representative programming.
A keen sense of what makes titles appropriate for different situations, and an ability to quickly identify authors, series, and titles to recommend.
Comfort using both quantitative and qualitative data to inform editorial decisions.
Experience building and implementing diverse recommendations that reflect a broad range of cultures, people, and perspectives.
A passion for the evolution of audio and enthusiasm for spoken word content.
Strong organisational skills and excellent attention to detail.
Where You'll Be
This role is based in Madrid, Spain or London, UK
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
We ask that you come in 2-3 times per week.
Ready to apply?
Apply to Spotify
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
Mission Statement
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
You’ll join the Data Platform within the Platform mission, where we build the foundations that power how Spotify understands user behavior at scale. Our team owns the SDKs used across iOS, Android, and web to collect user behavior data, and we build the tools and APIs that make instrumentation seamless for developers. Working closely with engineers, data scientists, and product partners, we enable teams across Spotify to make better, data-informed decisions that shape the listening experience for millions.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
Mission Statement
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
You’ll join the Data Platform within the Platform mission, where we build the foundations that help Spotify teams better understand and serve our listeners. Our work enables engineers and data scientists to explore user behavior at scale and make smarter, faster decisions.
As part of a collaborative and distributed engineering team, you’ll help shape the tools and SDKs that power data-driven product development across Spotify.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
Spotify’s Ads FP&A team is seeking a highly analytical and collaborative Analyst to join its team. In this role, you’ll support financial planning and analysis across Spotify’s global advertising business, helping shape how we grow and monetize our ads offering at scale. You’ll work closely with your manager and cross-functional partners across Finance, Ad Sales, Content, Product, and Insights.
This role offers a strong opportunity to build a deep understanding of Spotify’s advertising ecosystem and the financial drivers behind revenue growth and monetization. We’re looking for someone who enjoys connecting the dots across data and business strategy, while bringing thoughtful, scalable improvements to the models, tools, and insights that guide our decision-making.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
Spotify for Authors (SFA) is the creator platform for the audiobook industry — a web application that gives publishers, authors, and narrators tools to manage their catalog, track performance, and distribute content on Spotify. We're scaling toward 100,000 users across a React/TypeScript frontend, Java backend services, and data pipelines that feed into Spotify's broader audiobook ecosystem.
SFA connects to Spotify's highest-priority bets: expanding audiobook access, building content creation tools, and shaping discovery surfaces. We operate with a "short toes" philosophy — contribution has no borders, quality is shared, and we use modern tools (including AI) to reduce toil and amplify creativity.
What You'll Do
Build and evolve features end-to-end across a React/TypeScript frontend and Java backend services that power the SFA platform at scale
Use AI-assisted development tools as a core part of your workflow for code generation, automated testing, and AI-powered code review
Help your squad build effective AI-assisted practices
Solve scalability, reliability, and performance challenges as SFA grows toward 100K users
Collaborate closely with engineers, product managers, and designers to ship impactful experiences for audiobook creators
Author and collaborate on technical RFCs to document approaches and architectural trade-offs
Contribute to technical direction and help shape how we build within the SFA product area
Support and grow the team through mentorship, knowledge sharing, and thoughtful communication
Who You Are
You have strong experience building web applications across the stack. Typescript and Java knowledge preferred.
T-shaped: deep in your specialty, intensely curious about the rest.
You think product-first while building tech solutions
You're comfortable designing and operating distributed systems and microservices architectures
You actively use AI tools (agents, code assistants, AI-powered reviews, generative prototyping) in your daily work
You break ambiguous problems into clear, executable milestones and bias toward shipping
You're comfortable with modern infrastructure practices (CI/CD, containers, cloud platforms) and care about observability
You have excellent communication skills and default to over-communication in a distributed team
Where You'll Be
Ready to apply?
Apply to Spotify
What You'll Do
Partner closely with Spotify’s Head of Technology & Platforms and its VP of Engineering, product, engineering, and research teams, as well as external partners across emerging technologies, to shape narratives and support key launches and initiatives
Lead communications for Spotify’s platform ecosystem, including APIs, tools, and integrations, and drive technical storytelling across engineering blog content and research publications
Support product communications for podcast and creator-focused innovations in collaboration with cross-functional teams
Manage complex, high-impact product and technology communications with sound judgment and clarity
Work with senior leadership and technical spokespeople on media engagements, speaking opportunities, and industry events
Collaborate with global and regional communications teams to develop strategies that scale across markets
Manage external agency partners to support execution of communications programs
Build and maintain strong relationships with key media, creators, and industry voices across tech, business, and cultural verticals
Identify new ways to drive authentic storytelling, including unique and compelling visual and social campaigns, and keep a strong pulse on the latest trends
Who You Are
7+ years of experience in communications, with a focus on technology, product, and consumer-facing platforms
Complete immersion in and obsessions with the AI landscape, with experience supporting both internal and external communications for AI-driven products, platforms, or initiatives
Deep understanding of trends shaping the technology, media, and audio landscape
Exceptional ability to translate complex technical concepts into clear, compelling narratives for both technical and consumer audiences
Excellent written and verbal communication skills, with strong editorial judgment
Proven track record of developing and executing global communications strategies across product and technology initiatives
Experience advising senior leaders and technical spokespeople, and partnering with product, engineering, and research teams, with strong credibility in technical environments
Strong problem-solver with sound judgment, able to navigate fast-moving and complex communications challenges
Established relationships with creators and traditional media across tech, business, and consumer, especially with emerging voices across the EU who are building a passionate niche/community
Self-starter who can operate autonomously, manage multiple priorities, and collaborate effectively across teams in a fast-paced, global environment, including across time zones
Where You'll Be
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
We ask that you come in 2-3 times per week
Ready to apply?
Apply to Spotify
In the Data Processing Product Area, we build the platforms and tools that power how Spotify processes, manages, and consumes data at scale. Our work enables teams across Spotify to solve complex data challenges with confidence. We focus on improving efficiency, quality, and innovation—helping engineers and data practitioners move faster while maintaining reliability and cost awareness.
What You'll Do
Collaborate with product and engineering teams to build and operate infrastructure that enables reliable, scalable data processing
Design and develop tools that improve developer productivity and reduce the overhead of working with data pipelines
Contribute to platform reliability, performance, and cost efficiency across large-scale data systems
Partner with data experts and squads across Spotify to evolve best practices, standards, and tooling
Support the adoption and migration of data pipelines onto new platform capabilities
Help shape the future of Spotify’s data ecosystem through continuous improvement and experimentation
Who You Are
You have experience building backend systems using Java
You are familiar with platform engineering concepts and working in data-intensive environments
You are comfortable working with large-scale data using SQL and modern analytics platforms such as BigQuery
You have experience with distributed data processing frameworks such as Spark, Flink, Beam, or similar
You are experienced with cloud infrastructure, containerized applications, and DevOps practices
You have working knowledge of Kubernetes and its core concepts
You have experience building or maintaining data pipelines using Scala and/or Python
You care about code quality, testing, and delivering reliable systems
You enjoy working in collaborative environments and navigating open-ended problems
You are curious, experiment-driven, and motivated by using data to inform decisions
Where You'll Be
This role is based in London
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home
Ready to apply?
Apply to Spotify
We’re looking for a Design Manager to lead and grow a team shaping the future of Spotify’s Subscriptions Mission. This team sits at the center of one of Spotify’s most critical company bets: driving sustainable free and paid user growth while delivering meaningful value to listeners around the world.
Subscriptions is the primary driver of Spotify’s success. Our teams focus on acquisition, conversion, retention, pricing & packaging, and evolving the value of Premium across music, podcasts, and audiobooks. As Design Manager, you’ll play a key role in defining how users experience that value, from their first touchpoint with Spotify to long-term loyalty.
You will lead a team of product and content designers embedded across cross-functional squads, partnering closely with Product, Engineering, User Research, Data Science, Marketing, and Regional teams to craft cohesive, global subscription experiences. You’ll balance experimentation with craft, short-term impact with long-term system health, and business growth with user trust.
What You'll Do
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
The Subscriptions Mission builds and scales the products, platforms, and business models that convert free listeners into lifelong Premium subscribers. We focus on driving acquisition, optimizing conversion, improving retention, and delivering seamless commerce experiences that fuel Spotify’s growth and bring fans closer to the creators they love.
At Spotify, our Subscriptions data powers the decision engines and experiences behind our 700M+ Monthly Active Users and 290M+ Premium subscribers. You’ll join a collaborative, cross-functional team focused on building the systems that power merchandising, personalization, and seamless subscription experiences at global scale. Together, we shape how users discover value and choose to stay with Spotify.
What You Will Do
Who You Are
Where You Will Be
- This role is based in London, England or Stockholm, Sweden
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.
What You'll Do
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Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
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Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
Who You Are
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You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
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You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
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You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required.
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You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
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You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
Where You'll Be
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We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have a work location.
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This team operates within the Eastern Standard time zone for collaboration
The United States base range for this position is $227,495- $324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Ready to apply?
Apply to Spotify
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
You'll join a team working at the intersection of backend engineering, music understanding, and user experience. We focus on building the backend systems that power agentic music fulfilment products from conversational playlist generation to adaptive listening experiences that give users more intuitive control over what they listen to.
This team collaborates closely with product, design, user research, data science, and machine learning to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
What You’ll Do
Who You Are
Where You’ll Be
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What You'll Do
- Design and architect backend systems that power new user-facing features across the subscriptions journey
- Build, deploy, and maintain scalable services with a focus on high availability and low latency
- Collaborate closely with mobile engineers and cross-functional partners across Product, Data Science, User Research, and Design
- Take ownership of services in production, including monitoring, reliability, and participating in an on-call rotation
- Contribute to technical direction and improve system architecture to support long-term scalability
- Support and mentor engineers on the team, helping raise the bar for engineering quality and collaboration
Who You Are
Where You'll Be
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What You'll Do
Who You Are
Where You'll Be
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The Subscriptions Mission team focuses on building the systems and experiences that help Spotify acquire, convert, and retain subscribers around the world. The team works across product, engineering, and data to power Spotify’s subscription offerings, ensuring seamless purchase, billing, and customer service experiences for millions of users globally.
The Subscriptions team sits at the heart of Spotify’s business, powering how millions of users subscribe and stay connected to the platform. Within this mission, the Commerce Platform team builds and operates the backend systems that enable purchases, billing, invoicing, and payments globally. You’ll join a collaborative environment where engineers, product managers, and data practitioners work together to deliver reliable, scalable, and high-impact financial infrastructure.
What You'll Do
Who You Are
- You have 5+ years of experience building backend services using languages like Python, Java, or similar
- You are experienced in designing and scaling systems on cloud platforms such as Google Cloud Platform or AWS
- You have worked with scalable database technologies such as Postgres or similar
- You bring a high level of AI fluency and thoughtfully use modern tools, including LLMs, to improve workflows and problem-solving
- You approach problems with curiosity, sound judgment, and a bias toward action
- You communicate clearly and confidently, and are comfortable leading technical discussions and sharing ideas
- You value collaboration and actively contribute to a supportive, inclusive team environment
- You have experience modernizing or evolving legacy systems while maintaining stability
- You have exposure to commerce, payments, or financial systems
Where You'll Be
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The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
You’ll join the Core Infrastructure studio within Spotify’s Platform mission, specifically the Manifesto squad. This team builds and evolves the foundational infrastructure that powers Spotify at scale—helping hundreds of engineers ship faster, more reliably, and with confidence. You’ll lead a team working on critical systems that enable resilience, performance, and developer productivity across the company.
What You'll Do
Who You Are
Where You'll Be
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You'll join the Portfolio Data Science team, part of Subscriptions Product Insights. The Portfolio Focus Area is responsible for evolving and adapting Spotify's existing subscription plans to drive subscriber growth and engagement, as well as creating new revenue streams through add-ons and new value propositions. This work requires coordination across the entire Subscriptions Mission and multiple focus areas, with ownership and oversight from the Portfolio leadership team.
As a Data Scientist on this team, you'll help the Portfolio team make informed decisions about how to grow and diversify Spotify's paid offerings. You'll analyze subscriber behavior, measure the impact of plan changes and new propositions, and surface insights that shape our strategy. Your work will directly influence how the Spotify experience evolves for users around the world.
What You'll Do
- Analyze subscriber behavior and engagement patterns to identify opportunities for plan evolution and new value propositions
- Design and analyze experiments to measure the impact of changes to subscription plans and add-on offerings
- Define and maintain success metrics for Portfolio initiatives, ensuring alignment across cross-functional partners
- Build and maintain dashboards and reporting to monitor the health and performance of subscription plans and new revenue streams
- Perform exploratory analyses that uncover growth levers and inform the Portfolio roadmap
- Collaborate with Product, Engineering, Design, User Research and other Data Science teams across the Subscriptions Mission
- Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership
- Use AI-powered tools (e.g., Claude Code, Codex) to accelerate analysis and workflows
Who You Are
Where You'll Be
Ready to apply?
Apply to Spotify
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