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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
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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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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
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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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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
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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
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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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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.
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- 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.
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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.
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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.
What You'll Do
Who You Are
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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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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.
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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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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.
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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.
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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 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.
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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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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 the Native Ads product area within the Music Mission, where we build advertising experiences that feel native to the listening journey while supporting artists and creators at scale. This team sits at the intersection of Music, Advertising, and Personalization, working across missions to deliver impactful, data-driven solutions.
We operate in a highly collaborative environment with product, data science, and engineering partners, solving complex machine learning challenges that power ad experiences for millions of listeners around the world.
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Senior Machine Learning Engineer, Personalization, Music Understanding
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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 a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.
This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
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Our Revenue Growth team drives advertiser acquisition and retention at scale by turning data into action. We build and run scalable go-to-market programs that help advertisers succeed, through lifecycle communications and seller-facing actions.
As a Senior Program Analyst - GTM Ops, you'll own the technical layer that makes Revenue Growth actually run. Working within Spotify's broader data infrastructure, you'll build the team-specific tools, endpoints, and pipelines our programs depend on — the reporting that helps sellers act, the data feeds that power our advertiser tools, the pipelines that keep everything moving. Your work won't be abstract; it shows up directly in what the team ships and what sellers experience.
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Spotify’s Audiobooks team is building a world-class listening experience for authors, publishers, and listeners alike. As part of this team, you’ll help bring stories to life through high-quality production and thoughtful creative execution. You’ll work closely with Publishing, Partner Relations, and Content Strategy to deliver compelling audiobook content at scale while shaping how we produce and grow this space.
What You'll Do
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Where You Will Be
The United States base range for this position is $89,853.00 –$128,362.00, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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The Subscription team sits within the broader Subscriptions Mission, focused on helping users seamlessly access, manage, and get the most value from Spotify Premium. We build the systems and experiences that support acquisition, retention, and lifecycle management for millions of users worldwide.
Vantage is the team behind subscription management across Spotify’s web and mobile platforms. We build and operate the core systems that power how millions of Premium users manage and evolve their subscriptions every day. As part of the Freemium Funnel domain and the newly formed Account Management subdomain, we partner closely with Commerce and adjacent teams to create seamless, scalable, and reliable subscription experiences.
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The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.
Our team’s mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns.
What You'll Do
Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
Who You Are
You have a background in machine learning, enjoy applying theory to develop real-world applications, with experience in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
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.
You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
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Machine Learning Engineering Manager - Personalization
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- 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
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Spotify is looking for a seasoned Senior Manager to join our Finance team to support the evaluation and potential operation of new in person experiences. As Spotify continues to evolve beyond digital streaming, we are exploring initiatives that bridge the gap between our platform’s global reach and the physical-world.
This is a "foundational" finance role responsible for building the investment models, unit economic frameworks, and operational governance for these new initiatives. You will partner with leadership and the business to produce scenario analysis and manage the financial lifecycle of infrastructure and operational investments.
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What You'll Do
Act as a key partner to leaders in Spotify’s Music Vertical, with a focus on the Editorial function globally and recommendations of music content.
Manage a strong team of data scientists, aligning their expertise and professional growth with business needs via ongoing coaching and roadmap planning.
Conduct research yourself and craft compelling data storytelling to influence large investments at Spotify in the field of music recommendations
In particular, orient innovation at the intersection of human editorial and algorithmic recommendations in the age of AI.
Upskill the data science function in your area with agentic AI, and develop the next layer of self-serve access to insights for your stakeholders
Become a company-wide expert on music content and how it reaches listeners around the world.
Who You Are
7+ years of relevant experience performing data analysis or data science. In particular…
You are highly proficient in Python and SQL
You are well versed in AI tools for data science and insights, such as Claude Code
You have an expertise in building data visualizations and dashboards (e.g. Looker Studio, Tableau or other)
You have experience with A/B testing and statistical modeling
Experience managing a team is preferred. The role is opened to first time managers who have a proven experience mentoring others, leading large collaborative projects and coordinating with senior leaders.
You are a confident communicator with acute design thinking, who can simplifie complex problems and ground creative discussions in objective data. You have experience presenting to and influencing senior leadership.
You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is désirable
You are passionate about music. Previous experience in creative industries is a preference, but not a hard requirement if you have a deep empathy for how the music art form is created and enjoyed
Where You'll Be
This role is based in New York, New York
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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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We’re looking for an outstanding Podcast Client Partner who operates as a sales content specialist, to join our Podcast Specialist Team - the bridge between Spotify's top podcasts and our sales organization. You have a proven record of revenue generation and content sales, a genuine passion for podcasts, and a gift for communicating their value to clients and partners. Most importantly, your work will shape the way the world experiences audio.
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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 Experimentation and Learning team (SEAL) sits within the Surfaces Foundation product area in the Personalization mission. This team builds the experimentation and learning infrastructure for Spotify Surfaces — powering how we test, evaluate, and ship personalized experiences across Home and beyond. By creating a unified, agent-driven experimentation ecosystem, we enable teams to go from a raw hypothesis to a fully configured, running experiment in minutes instead of days.
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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.
We’re seeking a Principal Product Manager to join our consumer experience team. At Spotify, helping users decide what to play next is at the heart of the experience. This role focuses on shaping how people explore music, podcasts, and more—through intuitive, personalized, and engaging discovery experiences across the app.
As a Principal Product Management, you’ll work on some of Spotify’s most visible surfaces, connecting user intent, recommendations, and content into a seamless journey that helps millions of listeners find their next favorite thing
What You'll Do
Define and drive the long-term product vision for how users explore and decide what to play on Spotify
Shape discovery experiences across key consumer surfaces such as Home, Browse, and Search
Lead cross-surface strategy that connects personalized recommendations, editorial context, and user intent into a cohesive journey
Partner with engineering, design, and data science to evolve scalable discovery platforms and components used across Spotify
Identify opportunities to reduce decision friction and make exploration feel effortless and engaging
Influence roadmap and priorities across multiple teams, ensuring alignment with broader consumer experience strategy
Use experimentation, behavioral data, & user insights to inform strategy & continuously improve outcomes
Act as a senior product leader, mentoring others and raising the bar for product thinking, clarity, and impact
Who You Are
You have 10+ years of product management experience working on consumer-facing products
You have experience owning or influencing large product areas that span multiple teams or surfaces
You have a deep understanding of discovery, search, or personalization systems
You know how to turn complex systems into simple, intuitive user experiences
You are comfortable leading through influence in highly cross-functional environments
You care deeply about product craft and building high-quality user experiences at scale
You use data, experimentation, and judgment to guide decisions and strategy
You are a strong collaborator who builds alignment across engineering, design, and data partners
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.
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Associate Manager, Product Marketing - Podcast Business
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Spotify’s Podcast Creator Marketing team sits at the intersection of product, storytelling, and creator growth. We focus on helping podcast creators build audiences, grow their businesses, and succeed on Spotify. Working closely with partners across R&D, Marketing, and the broader business, we shape how creators understand and experience Spotify’s tools and opportunities. This is a high-impact team driving one of Spotify’s fastest-growing creator ecosystems.
We are looking for a Product Marketer to own product marketing for our foundational video and podcast creator capabilities. In this role you will lead the GTM strategy for new creator products and initiatives, influence product strategy in close collaboration with the R&D teams to enable our creators to grow their audience and make a living off of their art. Finally, you will collaborate with our marketing teams to educate and launch new products to creators.
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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.
Spotify’s Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction.
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Senior Staff Machine Learning Engineer - Agentic Systems
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Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform.
Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day.
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The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions of listeners choose Spotify every day—and keep coming back.
You’ll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners—and how we can make it even better.
We look at what drives people to subscribe, what keeps them engaged, and how we can continuously improve the Premium experience. You’ll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world.
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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.
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Global Associate Director, Experiential & Content Production
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Spotify’s Global Experiential and Content Production team is seeking an Associate Director with well-rounded content and event production experience to join our team.
While this role sits within Global Communications, the impact is company-wide. You will support multiple functions across the business including Communications, Ads, Government Affairs, Product, Music, Creator, Podcast and Audiobooks teams—to bring their initiatives to life through strategic events and content.
Importantly: this team works alongside Spotify’s Brand Experiential Marketing team. That team owns global consumer and brand marketing events. This team owns a defined set of experiential programs tied to communications priorities, creator/industry relationships, policy moments, company events, VIP/Influencer programming, thought leadership platforms, and other business-driven needs - not all events across Spotify.
As an Associate Director, you will play a key role in delivering high-impact creative content and managing live event production. You will build scalable solutions to maximize the success of these projects and support GECP’s Director in the development, management, and execution of our team objectives and project goals. This is a senior creative and production role, guiding both the experiential work and content creation.
The role requires significant travel (domestic and international) up to 70%
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The Subscriptions Mission builds and evolves Spotify’s subscription products to drive sustainable growth by improving conversion, retention, and overall user value. We create seamless, personalized experiences that make it easy for users to discover, upgrade, and stay engaged with Spotify.
Messaging Platform & Tooling is the system that decides what Spotify says to its 700M+ users — and how, when, and where it says it. Nearly every push notification, email, and in-app message flows through this platform, making it one of the highest-leverage systems at Spotify.
Within this space, the Selection squad sits at the core — acting as the decision engine that determines what message reaches each user in real time. You’ll join a high-performing, collaborative team of senior engineers and play a key role in shaping the next generation of this platform as we invest heavily in its future.
What You'll Do
- Lead and support the Selection engineering team, focusing on growth, performance, and creating an environment where engineers can do their best work
- Partner with Product, Data Science, and ML Engineering to define and deliver the technical roadmap for Selection
- Guide the evolution of Selection from a rules-based system to a more advanced, signal-driven and ML-informed decision engine
- Deliver platform capabilities that directly impact user engagement, retention, and conversion across Spotify
- Collaborate across squads and domains to ensure seamless integration and alignment across the Subscriptions mission
- Represent Selection in planning, strategy discussions, and initiative scoping tied to high-impact business goals
- Balance speed, scalability, and reliability while navigating complex platform trade-offs that affect millions of users
- Contribute to the broader engineering culture through hiring, architecture discussions, and cross-team collaboration
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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.
Spotify for Artists (S4A) is Spotify’s flagship platform for artists and their teams, supporting over 650,000 monthly active users across web and mobile. It’s where artists manage their presence on Spotify—exploring audience insights, promoting releases, customizing profiles, and growing their business through tools like Marquee, Showcase, and Discovery Mode.
As part of the Music Mission, this team operates across a broad technical landscape including client applications, backend systems, and large-scale data pipelines. You’ll lead a team working at the intersection of product innovation and platform reliability, shaping experiences that directly impact Spotify’s global creator community.
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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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