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.
What You'll Do
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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 a Platform team building AI-native conversational analytics experiences that help teams across Spotify explore, understand, and act on data more intuitively. We are rethinking how people interact with analytics by combining production backend systems, intuitive product surfaces, SQL-backed insights, and LLM-powered interfaces. This is a high-ownership, highly collaborative environment where engineers, product, and data partners work closely to turn ambiguous internal data needs into reliable tools used by real teams.
What You'll Do
Own backend/fullstack product initiatives from problem framing through technical design, delivery, launch, and iteration
Build conversational analytics capabilities that let users ask natural-language questions, explore data, and receive useful analytical answers through user-facing and integration surfaces
Design APIs, services, and data-driven workflows that are reliable, observable, maintainable, and scalable
Improve monitoring, quality signals, graceful degradation, and feedback loops so LLM-powered analytical experiences can be trusted in production
Collaborate with product managers, designers, data scientists, and data engineers to turn complex analytics problems into simple user experiences and clear delivery milestones
Make independent technical tradeoffs, communicate progress through clear written artifacts, and help reduce ambiguity for the team
Use AI-assisted engineering tools actively while staying accountable for architecture, verification, maintainability, and the final outcome
Who You Are
You have 4+ years of professional software engineering experience, with recent hands-on ownership of backend or backend-leaning fullstack products
You have strong backend engineering foundations, ideally in Python or Java, and have designed, built, and operated production APIs, services, or data-driven workflows used by real users or customers
You are comfortable with TypeScript and modern frontend systems, although your core strength is backend engineering rather than primarily frontend UI development
You have worked in a product engineering environment, such as a startup, scale-up, modern platform/product team, or product-like consulting engagement, where engineers own outcomes and iterate based on user or stakeholder feedback
You care about production quality: observability, testing, reliability, security, graceful degradation, and sensible API design
You are curious about AI/ML and LLM-powered products; hands-on experience with agents, RAG, prompt iteration, evaluation loops, analytics, BI, or data warehouses is a plus when paired with strong product engineering fundamentals
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.
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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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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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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.
What You"ll Do
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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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What You'll Do
Who You Are
Where You'll Be
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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.
What You’ll Do
Who You Are
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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.
What You Will Do
Who You Are
Where You Will 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.
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
Who You Are
Where You Will Be
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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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Where You'll Be
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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
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
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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.
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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.
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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
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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
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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
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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.
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
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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 a team building shared web tooling, frameworks, and operator-facing products that power Spotify’s internal financial workflows. Our mission is simple (but not easy): make complex work easier, smoother, and more intuitive for our operators, while keeping our infrastructure scalable and easy to build on.
We focus on creating a consistent, thoughtful experience across internal tools and connected SaaS systems, helping finance operators move seamlessly between products every day. Alongside mature platforms, we’re also building new workflow and task management experiences, with a growing investment in AI-powered capabilities to support smarter decision-making.
What You'll Do
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Where You'll Be
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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.
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
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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
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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.
Ready to apply?
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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.
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We are looking for an experienced Senior Editor for Norway & Finland, to join Spotify’s Music Editorial team based in Stockholm. In this role you will be a part of the Music team in the Nordics, reporting into the regional Head of Editorial.
You will contribute your expertise to various music-related projects within the company, including playlist curation, creative editorial work, and cross-functional collaboration with different teams in the region and beyond. You will provide deep cultural and musical insights to create highly engaging and cohesive music experiences for listeners in Norway and Finland, shaping how listeners in these markets experience music on Spotify across playlists, programming, and emerging editorial formats. Additionally, you will drive artist discovery through an extensive editorial ecosystem of playlists and tools, critically assessing music trends and user behaviour to identify opportunities and emerging trends.
You will demonstrate a team player spirit, a passion for performance-oriented analytics, and a solid understanding of Spotify’s role in the music industry both locally and globally. Additionally, you will have an editorial personality that thrives in engaging audiences through emerging, creative Editorial formats, bringing music to life in innovative ways.
As a music editor, you will be encouraged to make data-informed decisions while also contributing creative and cultural expertise. Above all, your work will impact the way the world experiences music!
What You’ll Do
Who You Are
Where You’ll Be
You’ll be based in our Stockholm office.
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
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
Ready to apply?
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What You'll Do
Who You Are
Where You'll Be
Ready to apply?
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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
Ready to apply?
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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?
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Senior Machine Learning Engineer - Generative UI Platform
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UI Studio is Spotify’s internal generative UI prototyping platform that enables teams to spin up fully functioning replicas of Spotify surfaces — complete with playable music — to explore and pitch new product ideas. What started as a small internal project has evolved into a widely adopted platform, and we’re now expanding it into a full generative UI system where teams can prompt for the interfaces they need.
You’ll join a small, high-impact team working at the intersection of machine learning, design systems, and product development — helping shape how user interfaces are imagined and built at Spotify.
What You'll Do
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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We're hiring a Senior Security Engineer to lead and raise the bar for enterprise security at Spotify. In this role, you'll be hands-on across core security domains, IAM, endpoint management, networking, and shaping how we secure an increasingly AI-enabled enterprise. You'll build tooling and automation, define policies and guardrails, and partner closely with teams across IT, infrastructure, legal, and beyond to keep Spotify moving fast without compromising on security.
The ideal candidate brings solid professional experience in enterprise security, strong technical foundations, and a genuine comfort with AI, both as a tool to augment their own work and as a surface area to secure. Just as importantly, you're an excellent communicator who can translate security priorities into language that resonates across a global, cross-functional organization.
What You'll Do
Drive the evolution of Spotify's enterprise security program by identifying gaps, proposing improvements, and implementing changes that balance strong security with a frictionless employee experience
Design and build security automation, integrations, and internal tooling to scale enterprise security and reduce manual toil.
Collect and analyze high-quality security data to improve detection capabilities and generate data-driven insights that shape the direction of the enterprise security program
Define and implement security hardening, guardrails and policies for enterprise applications and SaaS platforms.
Partner with Site Reliability, IT, and other Security teams to provide expert guidance on enterprise security best practices and drive meaningful improvements to systems and processes.
Investigate, propose and implement changes to Spotify’s Enterprise Security posture across domains including: IAM, Single Sign-on, Endpoint Management, and Networking.
Lead governance and oversight of enterprise security tooling, including password managers and enterprise browsers.
Champion and enforce enterprise security best practices across endpoints, enterprise products, and network infrastructure, advising bandmates and teams along the way.
Collaborate closely with IT, infrastructure, legal and communications to ensure a coordinated approach to enterprise security.
Mentor and support the growth of engineers around you, raising the security bar across the organization.
Who You Are
You have several years of experience in enterprise security at fast moving technology companies. Alternatively, you have deep expertise in enterprise systems engineering and are ready to transition into a security-focused career.
You have demonstrated experience applying enterprise security principles across IAM, SSO, networking, and device management, and you understand how these domains interrelate to form a cohesive security foundation.
You can think like an attacker and understand how to identify risks and implement countermeasures against threats that span identity, endpoint, network, and cloud boundaries.
You have a solid understanding of the risks introduced by agentic AI in an enterprise context and you are eager to get hands-on identifying and mitigating these risks in our environment.
You actively leverage AI tooling to augment your own work and are eager to explore how emerging AI capabilities can be applied to enterprise security challenges.
You can critically evaluate tools, practices and procedures, and you're willing to advocate for improvements and change when you see opportunities or risk.
You have an understanding of the current threat landscape, and want to be part of a team creating and implementing state of the art security solutions in a SaaS-driven enterprise environment.
You communicate complex security topics clearly to both technical and non-technical audiences, and you're skilled at building alignment across a global, cross-functional organization.
You thrive in a flexible environment with broad scope and you're energized by the freedom to innovate and challenge conventional security thinking.
Where You'll Be
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Product Designer - Core Experience (Core Value & Engagement)
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What You'll Do
Who You Are
Where You'll Be
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What You'll Do
Define the strategy and roadmap for key subscriber growth initiatives, focusing on applying AI/ML in the right places balancing business goals, ROI and technical feasibility
Deeply understand business metrics and user behavior, leading to well-researched hypotheses for testing and future AI/ML development
Lead end-to-end product development from problem definition through system deployment and adoption, working across research, engineering, and business teams
Drive experimentation programs that rigorously test ML-powered features against baselines, making data-informed decisions about when to scale AI-driven experiences
Collaborate with engineers and data scientists on technical decisions to drive innovation and impact
Build products at scale that impact hundreds of millions of users across diverse markets, considering localization, infrastructure constraints, and varying user contexts
Stay current with AI and ML technology trends, looking for opportunities to match with key business objectives
Who You Are
You have 5+ years product management experience with proven track record launching ML/data-driven products at scale
You have strong technical fluency in data science, recommender systems, machine learning concepts, model evaluation, A/B testing, and data pipelines. You can review and challenge technical decisions.
You have strategic judgment about when to apply ML vs. GenAI vs. other tools and you understand the cost-benefit tradeoffs of complex systems
You understand subscription business and e-commerce fundamentals in consumer products
You are an excellent communicator who can collaborate cross functionally and communicate complex ideas to stakeholders at all levels
Where You'll Be
Ready to apply?
Apply to Spotify
What You'll Do
- Set the product vision and multi-quarter strategy for ML- and AI-driven subscriber growth across awareness, acquisition, activation, retention, and monetization. These strategies will define and inform how we develop data signal sourcing, data platform capabilities, and model validation.
- Own a portfolio of initiatives end-to-end, aligning multiple squads and stakeholders around clear goals, sequencing, and measurable outcomes (conversion, churn, ARPU, LTV).
- Turn behavioral and revenue signals into crisp hypotheses, define success metrics and guardrails, and drive an experimentation roadmap that’s prioritized by impact and learning value.
- Establish strong measurement practices (A/B testing, incrementality, causal inference where appropriate), and ensure we scale only what demonstrates durable lift against strong baselines.
- Set direction to prioritize and develop data signals, attributes, data products, and feature store requirements
- Drive lifecycle and personalization strategies (including trial design, offer targeting, win-back, and plan nudges) that balance user value, revenue outcomes, and long-term trust.
- Partner with pricing and packaging stakeholders to design experiments that improve monetization while remaining transparent, locally relevant, and sustainable.
- Make pragmatic decisions about when to use ML, GenAI, heuristics, or rules, balancing ROI, complexity, latency, maintainability, and launch risk. Start with simple solutions before investing in complex systems.
- Ensure production readiness for ML-backed experiences through monitoring, performance evaluation, guardrails, data quality standards, and rollout plans that work at global scale.
- Communicate trade-offs and insights clearly to senior leadership, translating technical complexity into business impact and crisp decisions.
- Elevate product craft across the mission by mentoring other PMs, strengthening decision frameworks, and building a culture of learning, accountability, and inclusive collaboration.
Who You Are
- You bring 8+ years of product management experience, including leading data-driven or ML-backed products from discovery through global rollout.
- You have led platform or shared-capability product work where driving alignment and adoption was key to success, not just shipping features
- You have strong technical fluency in experimentation design, A/B testing, causal inference concepts, ML fundamentals, recommender/personalization systems, and data infrastructure (feature stores, attribute systems, data pipelines, data governance)..
- You have experience defining and governing shared data products or data layers - establishing standards and processes
- You consistently connect product decisions to measurable business outcomes, with a track record of improving conversion, retention, churn, ARPU, and/or LTV.
- You have experience in subscription or e-commerce business models, including lifecycle optimization, offers, pricing, packaging, or marketplace dynamics.
- You demonstrate strong judgment in choosing the simplest effective solution, and you know when advanced ML or GenAI is worth the trade-offs. You resist over-engineering and insist on proving incremental value.
- You build responsibly, considering fairness, bias mitigation, privacy, and localization — especially when personalization affects pricing, offers, or eligibility.
- You lead with clarity and empathy, give and receive feedback well, and raise the bar through coaching and principled decision-making.
- You influence without authority across engineering, data science, design, analytics, finance, and commercial stakeholders, and you’re skilled at aligning teams through ambiguity. You are experienced with resolving trade-offs between competing priorities.
Where You'll Be
- This role is based in London, United Kingdom 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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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
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integrations and device platforms. This is an exciting opportunity to craft adaptive, inclusive experiences that connect millions of listeners to what they love—anywhere, on any platform.
You will join a team focused on expanding Spotify’s experience beyond our core apps into partner ecosystems and connected devices. This team works at the intersection of design, external partnerships, and emerging interaction models to bring Spotify to listeners, wherever they are. Together with product managers, engineers, researchers, and content designers, you’ll help shape seamless and adaptive experiences across integrations that reach millions of users globally.
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The Subscriptions Mission builds and evolves the experiences and systems that allow millions of listeners to discover, subscribe to, and enjoy Spotify Premium. Our teams focus on awareness, acquisition, activation, retention, and commerce — ensuring seamless experiences that help fans connect more deeply with the audio they love while enabling sustainable growth for Spotify.
The Commerce Platform powers the purchasing and subscription systems that enable millions of users worldwide to access Spotify Premium. Within this area, the Payment SDK squad is responsible for the technology that handles initial payment transactions across our platform.
As a Senior Fullstack Engineer, you’ll work on systems that process large volumes of transactions and support the global purchase experience. Your work will help evolve the platform that powers Spotify’s commerce ecosystem, ensuring our payment infrastructure remains scalable, reliable, and innovative as we grow.
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The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify’s rights management platform that enables the company and its partners to identify, manage, and enforce music licensing rights across creator- and artist-generated content.
Comparable in scope to YouTube’s Content ID, SRC is designed specifically for Spotify’s ecosystem and plays an important role in supporting new formats like video and other emerging content types. Over the past year the team launched SRC from inception to a fully operational production platform, now live and used by real rightsholders.
The platform includes automated content scanning, policy management, enforcement pipelines, dispute workflows, and analytics. The team has grown from a single squad to three squads (approximately 29 engineers, designers, and product specialists) and continues to scale as a strategic investment area for Spotify over the next several years.
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The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
The Rights Systems team builds and operates Spotify Rights Center (SRC) — Spotify's rights management platform that enables Spotify and its partners to identify, manage, and enforce music licensing rights across all the content Spotify has to offer. Comparable in scope to YouTube's Content ID, SRC is purpose-built for Spotify’s ecosystem and underpins Spotify’s strategy for video and new content types.
Over the past year, the team shipped SRC from inception to a fully operational production platform, growing from one squad to three squads (~30 people). The team is continuing to scale as an area of strategic investment over the next 2–5 years.
What You'll Do
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