19 open remote positions
Spotify transformed music listening forever when we launched in 2008 and our mission is to unlock the potential of human creativity.
Build and improve iOS features that make Spotify for Artists an excellent tool. Collaborate on technical investigations and architecture improvements for the Spotify for Artists mobile app. Take ownership of tasks, from feature development to debugging and optimization.
As an Associate Machine Learning Engineer, you will help develop AI and ML systems that improve how Spotify detects, reviews, and manages risky or non-compliant activity. You’ll work with engineers, data scientists, and policy partners to design and evaluate models, automate performance tracking, and enhance transparency and auditability. This is a hands-on, collaborative role where you’ll learn from experienced practitioners while building solutions that advance safety, compliance, and responsible innovation.
The CI Experience squad owns the client continuous integration (CI) infrastructure at Spotify. Improve build reliability, performance, and observability across client codebases. Contribute to the technical roadmap for CI systems, defining standards for build and integration practices.
Podcast R&D is building best-in-class tools for creators, owning 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. You’ll play a key role within a diverse, distributed squad focused on subscriptions and fandom experiences.
In the Audiobooks Mission, you will be a founding member of a new full-stack squad, spanning a number of products and areas of expertise to explore opportunities in the audiobooks space. You will embody the engineering philosophy of “anything is possible” and actively participate in all phases of development. You will focus on high quality, high-velocity feature delivery, balancing business impact and minimizing technical debt.
A key member of a company's sales team responsible for generating leads and qualifying prospects. You will focus on researching potential clients, initiating contact, and scheduling meetings or demonstrations for the sales team. You will generate meetings for Account Executives and educating customers interested in purchasing Spotify Plugins for Backstage.
Own the quarterly sales incentive program and process. Collaborate with Sales Leadership, Sales Operations, and Finance to run a successful program. Provide professional guidance on our compensation programs which consist of cash and long term incentives. Work closely with the HRBP's and leads of the business you support and provide them with relevant analytics and insights.
Personalization is looking for an ML Engineering Manager to help shape the future of how we give users more control of their experience, leveraging large language models (LLMs) and agentic workflows. You will be accountable for the health of team of ML, Backend and Data Engineers, serving them through hiring, coaching, mentoring, and hands-on career development. You will work with a product manager to ensure that the team is delivering products of value.
As a Senior Machine Learning Engineer you'll shape how creators and consumers connect in more dynamic and intelligent ways by integrating foundational models to crafting feedback loops for real-time interactivity. This is a product-oriented role where you’ll spend time understanding roadmaps and advising leadership on the trade-offs of implementing ML solutions.
This is a mid-level role focused on writing clear, direct UX copy within the Spotify Ads Manager interface and consumer-facing ad formats. We need someone skilled at aligning language across a global organization and developing systems that scale content standards from engineering through to business marketing. You’ll use content strategy, storytelling, and UX writing principles to make complex ideas simple and meaningful.
Partner closely with Experimentation Platform, Surface Insights, CoreX and Home PZN teams to create an experimentation strategy that takes Home’s online evaluation practices to the next level. Build relationships with Staff+ engineers across PZN and Experience missions in order to identify both problems and opportunities that are preventing product innovation. Create Home Experimentation strategies to ensure trustworthy online evaluations for our stakeholders.
We’re looking for a forward-thinking Learning & Development Specialist (Instructional Designer) who’s passionate about designing personalized, tech-enabled learning experiences that prepare our Customer and Creator Support advisors to handle complex conversations and troubleshooting. This role blends learning design, technology, and operations, helping to shape how our advisors learn, grow, and perform in an increasingly AI-powered environment. You’ll design learning experiences that span the full advisor journey—from onboarding and continuous development to skill mastery and performance enablement—while helping us evolve into a Learning Operations function that’s scalable, data-driven, and human-centered.
Drive the product vision, product strategy and roadmap for Spotify’s AI Safety Platform. Partner with engineering, research and policy teams to build the systems that support evaluation, classification, and policy alignment for AI applications. Define and scale multimodal safety capabilities across audio, video, and conversational interfaces. Collaborate with internal customer teams to understand their needs and develop centralized guardrails for AI safety, while enabling flexibility for innovation.
Design, build, and maintain ETL/ELT pipelines in dbt and Scio that monitor and measure user exposure, engagement, and consumption across Spotify’s ecosystem. Collaborate with data experts from the Telemetry Squad, alongside data scientists and analytics specialists from the Epic Squad, to streamline data logging, user behavior instrumentation (UBI), and consumption reporting. Improve Spotify's data architecture by crafting user journey timelines and standardized schemas.
You will architect and develop custom solutions to complex business problems, working within the Salesforce ecosystem while leveraging Spotify’s proprietary infrastructure. This role will be working day-to-day with engineers, administrators, product managers and different parts of the organization to develop features for Spotify's internal and external users. Work in the Advertising domain, where you’ll spend time learning about Advertising Sales, Marketing, and other go-to-market (GTM) functions.
Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward. This role provides insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure. You'll take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.
Design and build systems that power audiobook ingestion, transformation, and delivery — ensuring performance, accuracy, and scalability across millions of titles. Contribute across the stack, from backend services and APIs to lightweight interfaces or operational tools, depending on the team’s evolving needs. Adapt and T-shape as the mission evolves.
We’re looking for a Sales Engineer to help organizations around the world adopt Backstage, Spotify’s open platform for building developer portals. You’ll work with enterprise customers exploring Backstage Enterprise to understand their engineering environments, demonstrate the platform’s value, and help them design and implement successful integrations. You’ll partner closely with our Sales, Product, and Engineering teams to make sure every customer’s journey from discovery to adoption is seamless.