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 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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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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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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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.What You'll Do
Who You Are
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What You'll Do
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The Music Vertical connects audiences and artists by powering the full music content lifecycle on Spotify. The team enables creators, distributors, and Spotify teams to ingest, manage, and distribute music at global scale, while delivering the tools and services that support creation, promotion, expression, monetization, and trusted experiences for fans and artists alike.
You’ll join Spotify’s Music team, supporting senior leadership in a fast-moving, highly collaborative environment. This role sits at the center of the team’s day-to-day operations, helping leaders stay focused, prepared, and connected. You’ll play a key part in enabling the team to do their best work while contributing to how we show up internally and externally.
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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.
Backstage was created at Spotify and has grown into a leading SaaS and open source platform for developer portals. Thousands of companies use Backstage to bring structure to complex microservices environments, improve developer experience, and ship high-quality software faster — including in the age of AI — without losing autonomy or control.
This role leads sales for Shipping Our Expertise (SOE), Spotify's B2B SaaS business built on our platform capabilities. Our flagship products — Backstage Portal and Confidence — are AI-first and built to support both human developers and automated systems. Everything we bring to market is battle-tested at Spotify scale, giving our customers confidence that our solutions work in the most complex R&D environments.
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We are seeking a dedicated and dynamic candidate to join Spotify’s EU Government Affairs team in Brussels as Senior Manager - EU Government Affairs.
The Government Affairs team is charged with understanding the global and local policy landscape in relation to Spotify’s business objectives and advocating on the company’s behalf on critical public policy issues. We represent the company before legislators and regulators, interact with civil society and industry, see around corners, and mitigate potential risks.
In this role you will be an active member and will provide advice and external advocacy on policy matters that have an impact on Spotify in Europe. You will report to our Senior Director of European Policy and will be based in our Brussels office.
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We are seeking an outstanding Senior Policy Specialist to join our growing Trust & Safety team. As a Senior Policy Specialist, you will play a key role in how we define, enforce, and communicate our stance on policy issues that impact users across music, podcasts, AI features, and all forms of user-generated content.
The Trust & Safety team plays a critical role in protecting the experience of millions of listeners, creators, and partners across Spotify. We work across music, podcasts, and emerging AI-driven features to define how safety shows up in our products. This team sits at the intersection of policy, product, and operations, partnering across the business to ensure our platform remains safe, creative, and inclusive for everyone.
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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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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Manager, Growth Creative Strategy & Optimization - Markets & Subscribers
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We’re the Markets & Subscribers business unit, a truly cross-functional team focused on finding future listeners, wherever and whoever they may be. We work collaboratively, combining marketing, insights, product development, design, and engineering expertise to grow Spotify’s subscribers and monthly active users in both new and existing markets across the globe. Join us and you’ll be part of a dynamic team taking acquisition, activation, and business growth at Spotify to the next level.
Spotify is looking for a Manager, Growth Creative Strategy & Optimization to own the full creative process across performance and lifecycle marketing. This is a senior individual contributor role — you’ll be the creative center of gravity for both the Performance Marketing team (off-platform paid acquisition channels) and the Lifecycle Marketing team (on-platform organic acquisition channels). The ideal person for this role has a strong background in DR creative, is fluent in creative testing and optimization, and can manage end-to-end creative production while translating data into actionable creative strategies.
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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.
Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust & Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&D teams to confidently expand into new products, markets, and technologies.
PTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes.
We aim to keep safety upstream of moderation by shaping product design before launch and measuring how features perform once they reach users.
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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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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.
You’ll join Spotify’s Editorial team in India, where music, culture, and storytelling come together to shape how millions of listeners discover and connect with music every day. As part of a global network of editors, you’ll help define how international music and hip-hop show up for audiences in India—and how Indian hip-hop travels beyond borders.
What You'll Do
Who You Are
Where You'll Be
- This role is based in Mumbai
- 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
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Production Logistics & Scheduling: Work with the studio scheduling leads to coordinate studio bookings
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Facility & Equipment Management: Work with our engineering team, who oversee maintenance of studio equipment, technology management, and ensure readiness for production. Managing the scheduling of planned upgrades and downtime to address technical issues.
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Manage studio backend support, including coordination with vendors, technology and production. Ensure smooth communication to all appropriate parties, and lead the implementation of upgrades as needed.
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Operational strategy: Streamline workflows, develop budgets, and manage vendor relations to optimize efficiency and increase production value.
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Collaborate with production managers and creative executives on production operations strategies. Assist leadership to establish in-studio practices that maximize team cohesion and efficiency.
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Act as a bridge between Studio Production and Finance, building rate cards and managing onboarding of vendors and contractors.
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Lead efforts to source additional contractor support, building a high-level strategy for show and studio preferred assignments.
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Drive configuration of studio spaces and facilities to enable purposeful onsite work, including partnering closely with the engineers to ensure all space and related equipment are working effectively in user friendly ways that take into account best practices.
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Supporting the live events team’s effort to source production crew and equipment for remote productions.
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Work closely with Head of Production and other leadership on production budgets including services, negotiating bids for outside vendors, tracking costs and expenditure reconciliation. Partner with Head of Production to project upcoming budgets.
Who You Are
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Experience: 7+ years running studio operations at a video production facility
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Leadership: Strong team management and communication abilities.
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Technical Proficiency: Knowledge of production equipment, scheduling software, and tools like Excel/PowerPoint.
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Problem-Solving: Ability to resolve issues quickly in high-pressure, fast-paced environments.
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Established relationships with vendors, film commissions, and facilities.
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Excellent written and verbal communication skills, and excellent project management skills
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Excellent organization skills; ability to handle multiple projects at once
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Significant experience managing physical production, in studio and remote, including facility operations, vendor management and negotiations
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Experience working in a dynamic environment. Demonstrable ability to effect change and drive new practices and procedures.
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Previous experience managing a team
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Motivated self-starter with excellent organizational and analytical skills
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Strategically minded and adept at managing in a diverse environment
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Adept at building strong relationships and interfacing with people at all levels across the organization
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Proactive approach and solution focused
Where You'll Be
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This is a pivotal moment for Spotify Advertising. As we scale globally and evolve into a performance-focused, AI-powered platform, design plays a central role in simplifying complex systems, building trust with advertisers, and driving scalable product growth. Our long-term vision is an intuitive platform embedded in advertiser workflows, powered by automation, measurement, and operational excellence.
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Senior Machine Learning Engineer, Personalization, Rewards
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The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction. Our core mission is to bridge discovery with lasting listening habits by developing and deploying sophisticated, mid-term behavioral reward signals—such as retention and habit formation metrics—that directly shape the LLM-powered recommendation experience.
We are looking for a Machine Learning Engineer to make impactful changes to our recommendations and discovery algorithms. 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
Who You Are
Where You'll Be
The United States base range for this position is $184,050- $262,928 plus 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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What You'll Do
Who You Are
- You have a Bachelor’s degree in Accounting or a related field
- You have 2+ years of experience in accounts payable or a similar finance role
- You are experienced working with ERP systems and financial tools
- You are comfortable working with large datasets and using Excel to analyze data
- You know how to prioritize your work and meet deadlines in a fast-paced environment
- You communicate clearly and collaborate effectively with a range of stakeholders
- You care about accuracy and take pride in maintaining high-quality financial data
- You are curious and open to improving processes, including using automation or AI
- You adapt well to change and can navigate evolving priorities
Where You'll Be
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What You'll Do
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Manage complex, fast-moving calendars across multiple time zones, ensuring leaders stay focused on critical Trust & Safety priorities
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Build high-quality presentations and briefing materials for internal leadership, cross-functional partners, and external stakeholders
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Prepare leaders for meetings by developing agendas, synthesizing inputs, and ensuring clarity on key decisions and actions
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Support planning and logistics for internal and external Trust & Safety engagements, including sensitive or high-priority discussions
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Manage inbox communications, prioritizing time-sensitive and confidential matters and drafting responses when needed
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Track key initiatives, risks, and deadlines, acting as a central coordination point across multiple workstreams
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Arrange business travel, including detailed itineraries aligned with leadership priorities
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Manage expense reporting and ensure compliance with internal policies
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Take on operational projects that improve team workflows, documentation, and efficiency
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Serve as a trusted point of contact for internal teams and external stakeholders, handling interactions with professionalism and care
Who You Are
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You have 5+ years of experience supporting senior leaders in a fast-paced, high-stakes environment
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You are highly skilled in building clear, structured presentations (Google Slides or similar) for executive audiences
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You handle sensitive and confidential information with a high level of discretion and sound judgment
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You communicate clearly and adapt your approach across different audiences and levels of seniority
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You are highly organized and comfortable managing multiple priorities with strong attention to detail
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You build strong, collaborative relationships across teams and functions
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You take initiative and anticipate needs, solving problems before they arise
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You are comfortable navigating ambiguity and working across multiple workstreams
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You manage your time effectively and adapt quickly as priorities shift
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You are experienced with Google Workspace and collaboration tools such as Slack
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You are open to occasional travel as needed
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You bring a calm, steady approach and thrive in dynamic, sometimes high-pressure environments
Where You'll Be
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This role is based in New York, NY
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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 ask that you come in 1-2 times per month
Ready to apply?
Apply to Spotify
What You'll Do
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Manage complex, fast-moving calendars across multiple time zones, ensuring leaders are focused on high-priority government and policy engagements
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Build high-quality presentations and briefing materials for internal leadership, policymakers, and external stakeholders
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Prepare leaders for meetings by developing agendas, compiling background materials, and ensuring alignment on key messages
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Coordinate policy meetings, stakeholder engagements, and internal briefings with strong attention to detail
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Support logistics for external engagements and events in Washington, DC, including coordination with venues, security, and cross-functional partners
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Support inbox and communications management, prioritizing time-sensitive requests and drafting responses when needed
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Track key policy priorities, deadlines, and deliverables, ensuring follow-through across multiple workstreams
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Arrange business travel, including detailed itineraries for policy-related engagements
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Manage expense reporting and ensure compliance with internal policies
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Take on operational projects that improve team efficiency, including workflow optimization and documentation
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Serve as a reliable point of contact for internal teams and external stakeholders, representing Spotify with professionalism and care
Who You Are
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You have 5+ years of experience supporting senior leaders, ideally in government affairs, policy, or a related environment
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You are highly skilled in building clear, compelling presentations (Google Slides or similar) for executive and external audiences
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You handle sensitive and confidential information with discretion and strong judgment
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You communicate clearly and can adapt your style for different audiences, including senior leaders and external stakeholders
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You are highly organized and comfortable managing multiple priorities in a fast-paced, detail-oriented environment
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You build strong relationships and collaborate effectively across teams and functions
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You are proactive and anticipate needs, solving problems before they arise
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You are comfortable operating across multiple workstreams and connecting the dots between them
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You manage your time effectively and adjust quickly as priorities shift
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You are experienced with Google Workspace and collaboration tools such as Slack
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You are open to occasional travel as needed
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You bring a steady, reliable approach and thrive in dynamic environments
Where You'll Be
Ready to apply?
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What You'll Do
Who You Are
Where You'll Be
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What You'll Do
Who You Are
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What You'll Do
Who You Are
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We’re looking for a Data Scientist to join Spotify Advertising to focus on unlocking insights and building scalable internal data products that power advertiser growth and inform business strategy. Our work focuses on causal inference, experimentation, pricing, and optimization. We work closely with Sales and Marketing to build advertiser recommendation engines, tools, and insights along with Product and Engineering.
In this role, you’ll help build scaled data science solutions from idea to production and work closely with our business partners on solutions to ensure they deliver advertiser value and business growth. You’ll get an opportunity to work on AI Insights Automation & Dashboards, Causal Inference, and Pricing.
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Machine Learning Engineer I, Personalization , Minesweeper
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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
Ready to apply?
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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) studio builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX and Backstage Product Area, the Platform Infrastructure team is building the next generation of cloud and compute foundations that power our internal developer platform and the AI agents running on top of it, and help bring those capabilities to market through Portal, Spotify's external developer platform built on Backstage.
You'll join the Platform Infrastructure team within the Backstage Product Area. The team owns the cloud foundations, developer tooling and security posture that the rest of Platform, and ultimately all of Spotify R&D, depends on. You’ll collaborate closely with experienced engineers (both human and AI-assisted) while operating at real-world scale, with deep observability, strong safety boundaries, and the unique reliability challenges of agentic production systems.
What You'll Do
Who You Are
Where You'll Be
- This role is based in New York, NY
- 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 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.
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) studio builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX and Backstage Product Area, the Platform Infrastructure team is building the next generation of cloud and compute foundations that power our internal developer platform and the AI agents running on top of it, and help bring those capabilities to market through Portal, Spotify's external developer platform built on Backstage.
You'll join the Platform Infrastructure team within the Backstage Product Area. The team owns the cloud foundations, developer tooling and security posture that the rest of Platform, and ultimately all of Spotify R&D, depends on. You’ll collaborate closely with experienced engineers (both human and AI-assisted) while operating at real-world scale, with deep observability, strong safety boundaries, and the unique reliability challenges of agentic production systems.
What You'll Do
Who You Are
Where You'll 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.
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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Senior Machine Learning Engineer, Personalization, Magenta
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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.
The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language. You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.
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The United States base range for this position is $184,050- $262,928 plus 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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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.
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 sits on the critical path of every new content type and product experience—from messaging and comments to collaborative and agentic features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that as Spotify evolves, safety is built in from the start—not added later.
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.
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
Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team. Our team is responsible for maintaining our Ads API and primary data store: if you’re passionate about data availability, integrity and performance at scale, come join us!
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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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The Subscriptions Mission team builds and evolves Spotify’s subscription products to drive growth, retention, and user value. We focus on creating seamless, personalized experiences that help listeners discover the right plan and get the most out of Spotify, while enabling sustainable business growth.
You’ll join the User Understanding space within the Subscriptions Mission, where we build machine learning systems that personalize the subscription journey for millions of listeners. Sitting in the Lorax squad, this team focuses on optimizing the full subscription funnel—from discovery to conversion—by delivering relevant, timely, and meaningful experiences. Our work directly impacts how users engage with Spotify and how we grow our subscriber base.
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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.
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Staff Machine Learning Engineer - Content Intelligence
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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
Build and scale machine learning systems that generate deep understanding of content across modalities
Develop models for classification, tagging, semantic understanding, and content enrichment
Create high quality content enrichment at scale using LLMs and agentic systems.
Design systems that make content intelligence signals available to downstream teams and products
Improve automation for content quality, safety, and metadata enrichment at scale
Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
Contribute to evaluation frameworks, data pipelines, and annotation systems
Support rapid experimentation to prototype and launch new types of content signals
Help improve system reliability, scalability, and performance across large datasets
Who You Are
You have experience building and deploying machine learning systems in production
You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
You have experience working with large datasets and care about data quality and evaluation
You are interested in or have worked with multimodal machine learning
You understand how to design systems that balance automation with quality and user experience
You are comfortable working on complex problems with evolving requirements
You think in systems and understand how models connect to product outcomes
You communicate clearly and work well across technical and non-technical teams
Where You Will Be
The United States base range for this position is 227,495–324,993 USD, plus 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, and paid sick leave. These ranges may be modified in the future.
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Podcast R&D is a product and technology team within Podcast Vertical at Spotify, focused on building best-in-class tools for creators. We own the platforms, tools, and features that power the creator experience allowing podcasters and publishers to host, create, and distribute their content, grow and engage their audiences, and earn revenue on Spotify.
This Backend leaning Full Stack role is part of the New Value area, a cross-functional team working across business, product, design, and insights to identify, evaluate, launch, and scale new content verticals and revenue models. Our ambition is to evolve the Podcast Vertical into a general-purpose creator and publisher platform that delivers meaningful value to Spotify Premium and drives over $1B in incremental revenue.
You’ll play a key role within a diverse, distributed squad focused on subscriptions and fandom experiences - including Synced Feeds, the creator tooling that drives subscription awareness and conversion on Spotify; the Spotify Open Access API (SOA), which enables third-party - hosted subscriptions; and new first-party products in the subscription content space. In the year ahead, the squad will focus on building a new, scalable version of Spotify’s native subscription offering, enhancing Synced Feeds, and evolving SOA. Put together, these efforts are establishing a strong foundation for creators of all sizes to monetize their fans directly on Spotify.
What You'll Do
Who You Are
Where You'll Be
The United States base range for this position is $150,000 - $189,000 plus 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
What You'll Do
Who You Are
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.
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 New York
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 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.
Ready to apply?
Apply to Spotify
What You'll Do
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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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- Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
- Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
- Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
- Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
What You'll Do
Who You Are
Where You'll Be
- This role is based in New York, NY
- 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 3 times per week
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Our work is cutting edge, revolutionary and always evolving, so it will be up to you to continuously assess and advise the teams on legal issues using a creative and pragmatic approach.
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