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We are looking for a Senior Backend Engineer to join the Subscriptions Mission. This team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. As a Senior Backend Engineer you will participate in building and maintaining the systems responsible for driving user conversion, retention and upsells together with other R&D teams, Marketing and Growth. The team is uniquely positioned to play a key role in a new effort to strengthen our platform capabilities in this area to support the rapidly growing business needs of the ever-changing product portfolio. We are moving towards a more user focused, contextual conversion, retention and upsell experience that is less manually operated, and more consistent across channels, using levers like machine learning and personalisation. We want to solve this through a platformised approach utilising new systems for decision-making on what we want users to see combined with a content management solution that can handle all the necessary complexities.

We’re looking for a Senior C++/iOS Engineer to join the Baldur squad within User Platform (UP). Baldur owns Spotify’s Session Management and Delegated Authorization domains—the systems that enable applications to securely obtain, use, and manage access tokens for hundreds of millions of users. In this role, you’ll help shape the technology that powers secure access across every Spotify client and third-party integration. Your work will support engineers across Spotify building mobile and desktop experiences, platform teams, and third-party developers integrating with Spotify’s authorization platform. You’ll collaborate across disciplines to build secure, reliable, and scalable authentication experiences that have a direct impact on millions of people every day.

Every dataset at Spotify, from the data behind creator royalties to the signals powering recommendations, is registered, published and traced through systems our team builds. We're the source of truth for what data exists at Spotify, where it lives, who owns it, and how it flows from one pipeline to the next. These systems sit on the critical path of the platform. Data teams use them every day to publish and find data, and other platform teams build on them for access, retention, governance and incident response. That means our work is judged on correctness and reliability, because every system built on top of ours is only as good as the metadata we provide. This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale, capturing lineage across batch and streaming workloads, managing schemas as they evolve, and guaranteeing that consumers only read complete data. We build on open standards like OpenLineage and Apache Iceberg, and define the internal standards for naming, storage and metadata that the rest of Spotify builds against. As the platform takes on new storage technologies and new kinds of data assets, those standards and the systems behind them have to evolve with it, and you'll help decide how.

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. Security engineers at Spotify protect our platform, employees, creators, and more than 700 million users. We are looking for an experienced Security Engineer to join the Detection and Response organization and help identify, investigate, and respond to threats across Spotify's environment. You will work within our detection engineering squad where the team owns alert triage, security investigations, threat hunting, and the detection engineering lifecycle. You will turn threat intelligence, incident learnings, and analyst feedback into effective detections and investigation workflows. You will partner closely with the detection infrastructure squad, which builds and operates Detection and Response platforms and telemetry pipelines, and with teams across Spotify to make sure your squad has the signals and capabilities needed to detect and respond to threats at Spotify's scale. We are a distributed team that values curiosity, sound judgment, clear communication, and continuous learning. We teach and learn from one another, adapt as the threat landscape changes, and focus our effort according to business needs and risk.

As the EM for Bonfire Squad you’ll lead a passionate full stack team of senior engineers building a high-impact artist promotion tool’s campaign management system and new features for our customers. Bonfire needs a people leader who will leverage the talent and opinions of a senior-heavy squad to build great products and systems effectively together. A great manager for this team will have the technical depth and product thinking to make and explain decisions around the roadmap, project staffing, and cross-functional partnerships. You’ll build trust with your team and cross functional partners by being transparent about what you’ll do and following through. This is a role for someone who enjoys being close to both the people and the work: coaching experienced engineers, creating clarity, and engaging credibly in technical and product discussions. We encourage applicants from all backgrounds, including those who may not meet every requirement listed

The Experience team designs 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 Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across Spotify. This role sits at the intersection of backend engineering, distributed data systems, ML infrastructure, and applied AI. You’ll take end-to-end ownership of significant engineering problems while working alongside other Engineers.

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. The IT Studio exists to remove the friction of work, unblocking Spotifiers anywhere, anytime, with simplicity and safety. We are the team behind the technology that approximately 8,000 Spotifiers rely on every day, spanning endpoint and device management, identity and access, networking and connectivity, IT service management and support, audio visual and meeting room technology, productivity and collaboration platforms, work management tooling, and the AI tools changing how everyone at Spotify works. Across 9 teams, we touch almost every part of how Spotify functions as a company. We’re looking for an experienced engineering leader to lead a group of Engineering Managers and approximately 50 engineers and technicians across the studio. You’ll set engineering strategy, strengthen the technical practices that help our teams operate at their best, and partner closely with product and studio leadership to balance engineering investment with business priorities.

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. Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world. As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.