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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.</p>\n<p>The TurnTable team’s mission is to own and innovate on AI DJ and the interactive listening experiences. Using a mixture of LLMs and traditional ML, we strive to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to join our team to build and improve our interactive listening experiences.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, evaluate, and ship an agent-based DJ solution that brings our DJ and interactive experiences to the next level.</li>\n<li>Collaborate with cross-functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways.</li>\n<li>Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.</li>\n<li>Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.</li>\n<li>Be part of an active group of machine learning practitioners.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment.</li>\n<li>Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications.</li>\n<li>Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale-based systems is a plus.</li>\n<li>Experience with incorporating human feedback to improve LLM-based systems using techniques like DPO, KTO, and reinforcement fine-tuning.</li>\n<li>Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams.</li>\n<li>Experience with large-scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Health insurance</li>\n<li>Six-month paid parental leave</li>\n<li>401(k) retirement plan</li>\n<li>Monthly meal allowance</li>\n<li>23 paid days off</li>\n<li>13 paid flexible holidays</li>\n<li>Paid sick leave</li>\n</ul>\n<p>The United States base range for this position is $176,166 - $251,666 plus equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_da758a3e-06e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/0cd7549d-880c-4861-b343-c0564cc8e9de","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$176,166 - $251,666","x-skills-required":["Machine Learning","Natural Language Processing","Generative AI","Apache Beam","Apache Spark","GCP","AWS"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:20:57.836Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Natural Language Processing, Generative AI, Apache Beam, Apache Spark, GCP, AWS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176166,"maxValue":251666,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b200d239-9d4"},"title":"Experiential Marketing Manager","description":"<p>At Spotify, we connect millions of fans to the music and creators they love. Our marketing team brings that connection to life through culture-first storytelling, bold creativity, and experiences that resonate far beyond the app. This role sits within the Marketing team, working at the intersection of music, culture, and fandom to deliver unforgettable experiences across India.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead the end-to-end development of experiential marketing programs that bring Spotify to life across physical, digital, and hybrid environments</li>\n<li>Translate brand strategy into culturally relevant experiences rooted in music, creators, and fandom</li>\n<li>Partner closely with Music, Brand, Content, Partnerships, and Comms teams to align experiences with broader business priorities</li>\n<li>Design and execute live music moments including concerts, showcases, fan events, and listening experiences</li>\n<li>Identify new formats for immersive experiences that blend IRL and digital touchpoints</li>\n<li>Co-create experiences with brand partners while ensuring Spotify&#39;s creative integrity remains strong</li>\n<li>Define and track KPIs such as brand lift, engagement, earned media, and fandom growth</li>\n<li>Manage agency partners and vendors to deliver high-quality, innovative execution</li>\n<li>Own planning, budgets, timelines, and risk management for complex programs</li>\n<li>Oversee on-ground execution including production, logistics, talent, and staffing</li>\n<li>Continuously analyse performance and evolve experiential strategy based on insights</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of experience in experiential marketing, brand marketing, live events, or partnerships</li>\n<li>Led large-scale experiential campaigns or live music events from concept to execution</li>\n<li>Experienced working with artists, creators, agencies, and production partners</li>\n<li>Strong understanding of culture, music, and fandom in India</li>\n<li>Comfortable navigating ambiguity and influencing across cross-functional teams</li>\n<li>Willing to travel and work non-traditional hours around live events</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Flexible work arrangements</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Access to Spotify&#39;s platforms and tools</li>\n<li>Comprehensive benefits package</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b200d239-9d4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/560d49ea-e205-4b54-8b7b-3f577d2c65ff","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["experiential marketing","brand marketing","live events","partnerships","music industry","cultural relevance","digital marketing","event management","project management","team leadership"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:20:48.476Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"experiential marketing, brand marketing, live events, partnerships, music industry, cultural relevance, digital marketing, event management, project management, team leadership"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3dcde83f-ad4"},"title":"Backend Infrastructure Engineer","description":"<p>The CI Experience squad owns the client continuous integration (CI) infrastructure at Spotify. Our mission is to ensure smooth, reliable, and fast integration of code changes across all client repositories.</p>\n<p>We are looking for a Backend Infrastructure Engineer with strong experience in building and maintaining backend services that power developer infrastructure. While our current systems handle relatively low traffic, the focus is on reliability, testability, observability, and migration readiness.</p>\n<p>A key part of this role is to help migrate existing Python-based services to Java, ensuring better alignment with Spotify’s monorepo and future automation strategies.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, maintain, and evolve backend services supporting our CI infrastructure.</li>\n<li>Improve local development and testing loops to reduce the need for full deployments during validation.</li>\n<li>Drive service migrations (e.g., from Python to Java) and assist in refactoring for scalability and maintainability.</li>\n<li>Implement robust monitoring, logging, and alerting practices for better visibility and debugging.</li>\n<li>Contribute to documentation , especially around service setup, testing, and troubleshooting.</li>\n<li>Collaborate with cross-functional teams to improve developer experience and CI efficiency.</li>\n<li>Help shape our technical roadmap for infrastructure evolution, focusing on automation and resilience.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong backend engineering experience with Java and Python.</li>\n<li>Familiar with microservice architecture, Kubernetes, and caching strategies.</li>\n<li>Experienced in designing maintainable, testable, and observable systems.</li>\n<li>Skilled at writing clear and thorough documentation for services and processes.</li>\n<li>Comfortable working on CI/CD infrastructure, including tools like gRPC/Protobuf, Bazel, and Git.</li>\n<li>Strong understanding of service migrations, from design to execution.</li>\n<li>Collaborative and proactive; able to work autonomously while aligning with broader team goals.</li>\n<li>Bonus: Experience working with Spotify’s internal client CI systems or Windows environments.</li>\n</ul>\n<p><strong>Where You&#39;ll Be</strong></p>\n<ul>\n<li>We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).</li>\n<li>This team operates within the Central European and GMT time zone for collaboration.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3dcde83f-ad4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/cf2ab23e-8bb8-455c-9a49-a43cca51fb97","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","Python","microservice architecture","Kubernetes","caching strategies","gRPC/Protobuf","Bazel","Git"],"x-skills-preferred":["Windows environments","Spotify’s internal client CI systems"],"datePosted":"2026-03-31T18:20:06.879Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EMEA region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Python, microservice architecture, Kubernetes, caching strategies, gRPC/Protobuf, Bazel, Git, Windows environments, Spotify’s internal client CI systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1e8b38a3-23c"},"title":"Senior Research Engineer","description":"<p>We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives.</p>\n<p>Our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n</ul>\n<p>As a Senior Research Engineer, you will work side-by-side with research scientists to conduct groundbreaking research in music generation, improve model training pipelines, optimize performance, integrate models into production environments, and maintain a high-quality codebase.</p>\n<p>You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks, working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure, and debugging problems in machine learning training code. You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1e8b38a3-23c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/631e80ca-90b9-4b40-a433-ba6f57d68b52","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PyTorch","GPU","Cloud computing","Machine learning","Audio processing","Music information retrieval"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:18:58.451Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EMEA region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, GPU, Cloud computing, Machine learning, Audio processing, Music information retrieval"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_509fe158-5ef"},"title":"Data Scientist","description":"<p>We are seeking a Data Scientist to join Spotify&#39;s Artist-First AI Music Lab. Our team pioneers state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. As a Data Scientist on this team, you&#39;ll help bridge cutting-edge AI research with outstanding product experiences.</p>\n<p>Your work will ensure that every feature we launch is grounded in data-driven insight and meaningfully strengthens the connection between more than 700 million listeners and the creators they love.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership</li>\n<li>Develop and own success metrics for generative music features and systems</li>\n<li>Design and analyze A/B tests and causal studies to evaluate product and model impact</li>\n<li>Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists</li>\n<li>Build scalable dashboards to monitor feature health and ecosystem impact</li>\n<li>Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality</li>\n<li>Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements</li>\n<li>Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows</li>\n<li>Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)</li>\n<li>You bring 4+ years of experience as a Data Scientist influencing product decisions through data</li>\n<li>You&#39;re highly proficient in SQL and Python and comfortable working with large-scale datasets</li>\n<li>You use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflows</li>\n<li>You have strong product intuition and a results-focused perspective, you seek the &#39;why&#39; behind the data</li>\n<li>You have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choices</li>\n<li>You understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impact</li>\n<li>You thrive in ambiguous, zero-to-one environments and enjoy defining metrics &amp; opportunities for entirely new product categories</li>\n<li>You&#39;re motivated by creating real value for music fans and music creators</li>\n</ul>\n<p>Where You&#39;ll Be:</p>\n<ul>\n<li>We offer you the flexibility to work where you work best! 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Your work will help evolve the platform that powers Spotify’s commerce ecosystem, ensuring our payment infrastructure remains scalable, reliable, and innovative as we grow.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and implement scalable backend services and frontend components that power Spotify’s commerce platform.</li>\n</ul>\n<ul>\n<li>Design and develop critical capabilities in Java and Python services operating in a high-volume, low-latency environment.</li>\n</ul>\n<ul>\n<li>Build and maintain the pay-in functionality that enables payment processing across Spotify products.</li>\n</ul>\n<ul>\n<li>Run and analyze experiments to improve payment performance and user experience.</li>\n</ul>\n<ul>\n<li>Improve system reliability through monitoring, alerting, and operational best practices.</li>\n</ul>\n<ul>\n<li>Collaborate with engineers, product managers, and cross-functional teams to deliver impactful commerce features.</li>\n</ul>\n<ul>\n<li>Contribute to evolving Spotify’s payment infrastructure and SDK capabilities for developers across the company.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>You are experienced with modern JavaScript development, testing, and debugging.</li>\n</ul>\n<ul>\n<li>You have experience building and scaling backend services using Java and/or Python.</li>\n</ul>\n<ul>\n<li>You have worked in cloud-native environments such as Google Cloud Platform or similar platforms.</li>\n</ul>\n<ul>\n<li>You have experience designing and maintaining libraries, frameworks, or developer tools used by other engineers.</li>\n</ul>\n<ul>\n<li>You have hands-on experience working with scalable databases such as PostgreSQL.</li>\n</ul>\n<ul>\n<li>You approach engineering problems with strong analytical thinking and practical solutions.</li>\n</ul>\n<ul>\n<li>You communicate clearly and collaborate well with cross-functional teams.</li>\n</ul>\n<ul>\n<li>Experience working in e-commerce, financial systems, or high-volume transaction environments is a plus.</li>\n</ul>\n<p><strong>Where You&#39;ll Be</strong></p>\n<p>This role is based in London or Stockholm.</p>\n<p>We offer you the flexibility to work where you work best! 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To as many people as possible. In as many moments as possible. That&#39;s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.</p>\n<p>Playlists are at the heart of Spotify. They soundtrack morning commutes, fuel workouts, spark discovery, and bring friends together. As our new Senior Product Manager for Playlist Experience, you&#39;ll shape the future of one of Spotify&#39;s most loved features,helping millions of people around the world discover, create, and enjoy the playlists that define their moments.</p>\n<p>This is a highly collaborative role. You&#39;ll work closely with teams across the company to make sure the experiences you and others drive truly serve users, creators, and Spotify itself. You&#39;ll partner with people across disciplines and time zones, working in a fast-paced environment,and yes, having fun along the way.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop a product vision and strategy for the Playlist core experience, aligned with the broader consumer experience vision</li>\n</ul>\n<ul>\n<li>Collaborate with other teams inside the product area and across the company</li>\n</ul>\n<ul>\n<li>Prioritize a long-term product roadmap for your team</li>\n</ul>\n<ul>\n<li>Drive alignment for your strategies, roadmap, and metrics across the organization</li>\n</ul>\n<ul>\n<li>Use data, insights, and experimentation to inform decisions and sharpen strategy.</li>\n</ul>\n<ul>\n<li>Demonstrate product craft by shipping impactful, high-visibility features that move Spotify&#39;s topline metrics</li>\n</ul>\n<ul>\n<li>Build and manage cross-functional relationships to keep stakeholders informed and engaged</li>\n</ul>\n<ul>\n<li>Build a broad network across Spotify to align with adjacent strategies and maximize impact</li>\n</ul>\n<ul>\n<li>Work in a cross-discipline team and partner with engineers, data scientists, researchers and designers on multiple projects from idea to launch</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>User focused. 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$109,771, plus equity</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2b0442cb-a86","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/a95830ad-c11f-49da-85a7-04ce47ce532c","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$76,840 - $109,771, plus equity","x-skills-required":["SQL","Python","A/B testing","Statistical methods","Data analysis","Data visualisation"],"x-skills-preferred":["Machine learning","Cloud computing","Big data processing"],"datePosted":"2026-03-31T18:17:27.987Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, Stockholm or London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, A/B testing, Statistical methods, Data analysis, Data visualisation, Machine learning, Cloud computing, Big data processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":76840,"maxValue":109771,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3204dc93-abc"},"title":"Senior Backend Engineer","description":"<p>As a Senior Backend Engineer at Spotify, you will be part of the User Platform (UP) studio, which is responsible for Customer Identity and Access Management at Spotify. Your primary focus will be on architecting and scaling the next generation of Business IAM, expanding our authorization platform in both depth and reach.</p>\n<p>Your responsibilities will include designing, developing, and deploying backend services and APIs that power Spotify&#39;s creator authorization systems. You will also collaborate with different cross-disciplined teams on complex problems, maintaining business-critical Spotify authorization systems, and embracing and promoting sound engineering practices.</p>\n<p>We are looking for a problem solver who loves seeing things through from concept to production and is eager to learn whatever skills are needed along the way. You should have 5+ years of experience with Java, SQL, and ideally be familiar with React, Typescript, and Next.js. A collaborative teammate who values inclusion and open communication is essential for this role.</p>\n<p>In addition to a competitive salary, you will receive a range of benefits, including 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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3204dc93-abc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com/","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/26731335-a117-4126-abdc-c0fa9cca5892","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$164,448-234,926 plus equity","x-skills-required":["Java","SQL","React","Typescript","Next.js"],"x-skills-preferred":["AI","Machine Learning"],"datePosted":"2026-03-31T18:16:58.534Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EST region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, SQL, React, Typescript, Next.js, AI, Machine Learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":164448,"maxValue":234926,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bfb338dc-601"},"title":"Research Scientist","description":"<p>We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists.</p>\n<p>Our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n</ul>\n<p>As a Research Scientist, you will conduct groundbreaking research in music generation, run large-scale experiments, create practical applications, and collaborate with a cross-functional team to craft innovative solutions to complex challenges.</p>\n<p>You will have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. 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That’s what the Experience team is all about.</p>\n<p>We’re looking for a Group Product Manager to join Core Experience, leading a group of product managers responsible for key parts of Spotify’s end-to-end mobile experience on iOS and Android. 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For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).</li>\n<li>This team operates within the Central European and GMT time zone for collaboration.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_209d5ea6-a18","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com/","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/3a7a3d26-bd02-496b-86d3-df5277e5b478","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","leadership","strategic planning","collaboration","communication","data analysis","AI","ML","experimentation","modern product development"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:16:39.944Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EMEA region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product management, leadership, strategic planning, collaboration, communication, data analysis, AI, ML, experimentation, modern product development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8af30937-f0a"},"title":"Senior Engineer","description":"<p>We&#39;re looking for a Senior Engineer to shape the Data Experience for Backstage Portal, Spotify&#39;s enterprise internal developer portal (IDP) used by organisations worldwide.</p>\n<p>Today, data lives in silos across data warehouses and transformation tools, disconnected from the software catalog where teams collaborate. 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