{"data":{"company":{"name":"Spotify","slug":"spotify","logo_url":"https://logos.yubhub.co/spotify.com.png","canonical_domain":"spotify.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"It’s Your Party of the Year(s): A Look Back at Your Entire Music History on Spotify - Spotify","url":"https://news.google.com/rss/articles/CBMihwFBVV95cUxPNm81VlNxd3ZQUzlhTnFyQ3BSR1NxcW1pZ1k1ak1WbTJhODEwTnZ6SnJNZTFvajlkd0pSYXZHVGpORVlsa3ZBWF9SaTJuMzQ3TVoyRVBKUDBGclFqSmhtVlRlUy0xN2ROT3ZxRkF5Q3VXU2dDMEluVnlxR0VrN21CNm5XZDJzZHM?oc=5","publisher":"Spotify","date":"2026-05-12","snippet":"It’s Your Party of the Year(s): A Look Back at Your Entire Music History on Spotify Spotify"},{"title":"Remember the First Song You Ever Listened to on Spotify? - vice.com","url":"https://news.google.com/rss/articles/CBMiY0FVX3lxTE1yZUZHV20zc2R3Tkhkc3R6d0swNnBPZUhSNTBZejBWNzBXQklyY0VKTGVvUlRpNXdQTmxoVWlMenh0R0ZRRzRMcVFvb21UV0MxSnoyTnhtQ01tYmVKLVRjZmFudw?oc=5","publisher":"vice.com","date":"2026-05-13","snippet":"Remember the First Song You Ever Listened to on Spotify? vice.com"},{"title":"Spotify Lists All-Time Most-Streamed: Taylor Swift,Bad Bunny,Weeknd - Variety","url":"https://news.google.com/rss/articles/CBMi0AFBVV95cUxONWgtMGo0ZFV0VmZCZ2tYbWZmWXhGTVQyZkpYQU15MHpwMVFaRFFyQTQ1aUJBblZrSFFZeGtFTkxPNThQNGFqWGNZQTY4SUxac01DZDRhMEpGbVJxa0tMeVlkanVCMHd5VWI0cGxYeTlSNFlwMXllV3ZQUEVUYnZGaFBBSjZoNEJfdTJaWkxxSUpqS01rZnljWVBvdEZlZU9tRU9CTzFOUXllSXN2dk5zZkJHdUVDME5iTERtRm9vcVVfTWNLTVl2R3pDenFPTUh4?oc=5","publisher":"Variety","date":"2026-04-23","snippet":"Spotify Lists All-Time Most-Streamed: Taylor Swift,Bad Bunny,Weeknd Variety"},{"title":"See Spotify's most-streamed artists, songs, and albums of the past 20 years - Mashable","url":"https://news.google.com/rss/articles/CBMif0FVX3lxTFBmYnFBWGVNWjZEODlNZDc3ak5jMlAwMUx1QklKMWVycGpvUmhRbjVVTVJhaUgyQUJaQUcxdXhoNVd6Y285UFlSTEJCdHdBQzBTTUpQWVhoMVJKUlJDTVFrdGdjcFF0Zkxfa1VYWUVGY2hGRVV1S2lvM1d0b3BzN1k?oc=5","publisher":"Mashable","date":"2026-04-23","snippet":"See Spotify's most-streamed artists, songs, and albums of the past 20 years Mashable"},{"title":"EXCLUSIVE: Spotify Reveals Most Streamed Songs and Artists In Its 20-Year History - TODAY.com","url":"https://news.google.com/rss/articles/CBMiowFBVV95cUxNNFM1enVaeTQtU193cWdQZHVSV2t5dFdKQUNpM05nYWMxTkRHWW55ckFXQnNHQnZvdEVsQnVEazE2VDVsT3E2NFY0S0k4MHh6SVgtT21lSzdwOGVwZXFkUWtUQmlKeEpKZ002aElmWEJESHNsMEdWWlByWFRPdUVFNnVjQUhNZDhWQnlGcDJZWVVRbWUyZE9ndjBIdmFxMlFNQ3ZN?oc=5","publisher":"TODAY.com","date":"2026-04-23","snippet":"EXCLUSIVE: Spotify Reveals Most Streamed Songs and Artists In Its 20-Year History TODAY.com"}],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":119,"categories":[{"category":"engineering","count":62},{"category":"sales","count":14},{"category":"marketing","count":12},{"category":"legal","count":8},{"category":"finance","count":8},{"category":"operations","count":3},{"category":"product management","count":2},{"category":"music","count":2},{"category":"media","count":2},{"category":"it","count":2},{"category":"design","count":2},{"category":"government affairs","count":1},{"category":"business development","count":1}],"experience_levels":[{"level":"senior","count":92},{"level":"mid","count":19},{"level":"staff","count":7},{"level":"executive","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":97},{"arrangement":"remote","count":18},{"arrangement":"onsite","count":3}],"top_titles":[{"title":"Research Scientist","count":3},{"title":"Marketing Lead - 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This role leads sales for Shipping Our Expertise (SOE), Spotify&#39;s B2B SaaS business built on platform capabilities.</p>\n<h3>What You&#39;ll Do</h3>\n<ul>\n<li>Own revenue targets across new business, expansion, and retention for the SOE product portfolio</li>\n<li>Lead, coach, and grow a distributed team across Account Executives, Sales Engineers, and Customer Support</li>\n<li>Define and execute a sales strategy focused on engineering leaders, platform teams, and developer experience buyers</li>\n<li>Partner closely with Marketing to align on pipeline generation, messaging, and go-to-market strategy</li>\n<li>Collaborate with Product and Engineering to represent customer needs and influence roadmap priorities</li>\n<li>Build deep expertise in Backstage Portal and Confidence, translating technical value into clear customer outcomes</li>\n<li>Tell a compelling story about Spotify’s dogfooding approach and how products are proven internally at scale</li>\n<li>Establish strong forecasting discipline and maintain a healthy, predictable pipeline</li>\n<li>Track and improve key metrics such as pipeline coverage, conversion rates, time to close, and net revenue retention</li>\n<li>Design scalable sales processes, onboarding programs, and playbooks as the business grows</li>\n<li>Represent Spotify externally at industry events, conferences, and key customer engagements</li>\n</ul>\n<h3>Who You Are</h3>\n<ul>\n<li>You have 8+ years of experience in B2B SaaS sales, including 3+ years leading and developing high-performing teams</li>\n<li>You are excited about how AI is transforming software development and can connect that shift to real customer value</li>\n<li>You are comfortable engaging with engineering leaders, CTOs, and platform teams, and build credibility through understanding their challenges</li>\n<li>You have experience selling to R&amp;D, engineering, or developer experience buyers and understand their decision-making processes</li>\n<li>You bring experience working alongside Sales Engineering and understand the importance of technical depth in complex sales</li>\n<li>You have owned or partnered closely with Customer Support or Customer Success and view post-sale health as part of revenue strategy</li>\n<li>You are data-driven and use metrics to guide forecasting, performance, and decision-making</li>\n<li>You are able to build structure and process from the ground up without adding unnecessary complexity</li>\n<li>You thrive in environments where the product is innovative and requires educating the market</li>\n</ul>\n<h3>Where You&#39;ll Be</h3>\n<ul>\n<li>This role is based in London</li>\n<li>Flexible work arrangements, with some in-person meetings</li>\n</ul>","enriched_at":1781886480612},{"id":"job_156f2931-940","title":"Principal Product Manager for Agentic Surfaces","source_url":"https://jobs.lever.co/spotify/a025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>Spotify is transforming how the world discovers music, podcasts, and audio. We&#39;re reimagining Home, the surface listeners open first, for an AI-native age. As Principal Product Manager for Agentic Surfaces, you&#39;ll own the agentic future of Home, shaping how Spotify&#39;s personalization stack evolves in an AI-native age.</p>\n<p>You will:</p>\n<ul>\n<li>Own the product vision, strategy, and roadmap for the agentic future of Home</li>\n<li>Set the strategy for how Home&#39;s personalization evolves</li>\n<li>Lead the ideation, development, and launch of agentic experiences</li>\n<li>Translate frontier model and agent capabilities into intuitive experiences</li>\n<li>Exercise clear judgment on what to build and what to say no to</li>\n<li>Set a high bar for quality and craft</li>\n<li>Establish evaluation frameworks for agentic experiences</li>\n<li>Use prototypes and real results to learn</li>\n<li>Partner deeply with engineering, ML, design, research, and data science</li>\n<li>Influence senior stakeholders across Spotify</li>\n<li>Balance rapid iteration with user trust, safety, and brand integrity</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of product management experience, mostly in AI and consumer-focused roles</li>\n<li>Proven track record shipping and scaling agentic products</li>\n<li>Experience owning consumer products with tens or hundreds of millions of users</li>\n<li>Demonstrated ability to balance investment across maturing and emerging technologies</li>\n<li>Exceptional product taste and instinct for delightful experiences</li>\n<li>Decisiveness under incomplete information</li>\n<li>Highly analytical with fluency in experimentation and data-driven decisions</li>\n<li>Excellent communication and stakeholder management</li>\n<li>Ability to thrive in fast-paced, ambiguous environments</li>\n<li>Deep expertise in AI and agents transforming consumer software</li>\n<li>Experience with recommender systems, personalization, or large-scale ML-driven products</li>\n<li>Technical background or ability to partner closely with ML engineers and researchers</li>\n</ul>\n<p>Location: Flexible within North America, operating within Eastern Standard time zone</p>","enriched_at":1781795332807},{"id":"job_804fc8b0-9f5","title":"Marketing Science Associate Manager","source_url":"https://jobs.lever.co/spotify/6b818cbd-6bf1-4868-805d-4a07e8c7c1f6","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Sales","description":"<p>Join the Sales team at Spotify and build relationships that help grow the business in existing markets and beyond. As a Marketing Science Associate Manager, you will develop the advertising business through creating audience insights and applying measurement studies for brands and agencies.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Shape, drive, and execute research and measurement strategy across key verticals in North America</li>\n<li>Consult with advertising partners on measurement strategy and solutions, focusing on performance measurement and conversion-lift measurement tactics</li>\n<li>Create and deliver measurement-driven projects aligned with vertical and market initiatives, driving growth and revenue</li>\n<li>Propel the adoption of Spotify&#39;s first-party measurement solutions and act as a subject matter expert internally and externally</li>\n<li>Partner with the Product team to provide expertise on measurement methodology, particularly for attribution and low-funnel measurement</li>\n<li>Build compelling, multi-source advertising research stories that educate sellers, marketers, and clients about Spotify&#39;s unique value proposition</li>\n<li>Extract insights from large and diversified data sets to provide hypotheses and answer sales, marketing, and business development questions</li>\n<li>Partner with Sales and other cross-functional partners to create scalable solutions tailored to specific client needs</li>\n<li>Develop new, innovative approaches to data analysis and positioning, and provide strong recommendations for future client strategies</li>\n<li>Evaluate effectiveness across Spotify buying channels to share recommendations, success stories, and best practices</li>\n<li>Influence stakeholders and change behavior to improve business outcomes</li>\n<li>Educate internal and external stakeholders on media performance trends and best practices</li>\n<li>Contribute to Spotify&#39;s point of view on new/current research and measurement solutions</li>\n<li>Present measurement insights at client, agency, and industry events as needed</li>\n<li>Partner cross-functionally to identify and outline top-performing campaign tactics</li>\n<li>Collaborate with leadership stakeholders on Sales and/or Marketing initiatives</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>5+ years of experience in digital advertising research</li>\n<li>Excellent presentation skills and ability to lead external meetings with clients</li>\n<li>Proven experience partnering with global advertisers and driving measurement strategy</li>\n<li>Strong background in quantitative ad effectiveness research, particularly with conversion-lift solutions and other low-funnel measurement products</li>\n<li>Experience with scaling signal-based solutions such as conversions API</li>\n<li>Familiarity with interpreting results and recommending measurement solutions</li>\n<li>High level of experience in running multiple forms of advertising measurement</li>\n<li>Extensive experience in data analysis and storytelling</li>\n<li>Self-starter who digs into projects without needing much direction</li>\n<li>Positive and collaborative teammate who values building strong relationships with colleagues and stakeholders</li>\n</ul>","enriched_at":1781795313536},{"id":"job_26abe2c8-cfa","title":"Senior Applied Research Engineer","source_url":"https://jobs.lever.co/spotify/69ce7cd5-c137-435f-84bc-9da27389c7e6","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We design Spotify&#39;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.</p>\n<p>We are looking for a Senior Applied Research Engineer who brings deep research expertise and strong engineering skills across both audio and video. In this role, you will help advance how Spotify understands, evaluates, and improves media experiences across platforms. You&#39;ll work across the full media pipeline,from backend processing such as ingestion, encoding, and delivery to frontend playback, buffering, and synchronization,solving product problems with research discipline: structured experiments, solid metrics, and evidence-based decisions, in a real production environment.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own research-to-production work across audio/video signal processing, perceptual quality, and media intelligence.</li>\n<li>Partner with teams to integrate prototypes into production systems and decision-making across areas like music and video information retrieval and quality-aware processing.</li>\n<li>Work across the full media pipeline, from encoding and delivery to playback, buffering, and synchronization.</li>\n<li>Build evaluation frameworks and support media platform and codec decisions grounded in measurement.</li>\n<li>Design perceptual studies, develop tooling that connects quality metrics to real user experience outcomes.</li>\n<li>Collaborate with multi-functional teams, turning research insights into scalable capabilities used across Spotify.</li>\n<li>Help improve how we evaluate and enhance media quality across the platform.</li>\n<li>Drive high-impact initiatives from idea through to measurable outcomes.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>You have 8+ years of experience in applied research and engineering in media technology, audio, or video.</li>\n<li>You bring deep expertise in audio and/or video, with working knowledge across both domains.</li>\n<li>You understand media systems end-to-end, from backend processing through to client-side playback.</li>\n<li>You have strong foundations in signal processing and experience with perceptual quality or feature design.</li>\n<li>You are comfortable working in Python and have experience with C++ or similar languages.</li>\n<li>You have experience running perceptual evaluations or quality benchmarking.</li>\n<li>You enjoy building systems that move from research into real-world impact.</li>\n<li>You collaborate effectively across disciplines and communicate complex ideas clearly.</li>\n<li>You are curious, pragmatic, and motivated by solving meaningful problems.</li>\n</ul>\n<h3>Location</h3>\n<ul>\n<li>This role is based in London or Stockholm.</li>\n<li>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.</li>\n</ul>","enriched_at":1781790210089},{"id":"job_db4ddf4d-e7a","title":"Product Designer - Core Experience (Core Value & Engagement)","source_url":"https://jobs.lever.co/spotify/1045d233-1896-4876-a2b2-86c7510575aa","location":"London","job_type":"permanent","experience_level":"mid","work_arrangement":"hybrid","category":"Design","description":"<p>We design Spotify’s consumer experience,end to end, moment to moment, across every screen, platform, and partner integration.</p>\n<p>Our mission is to make listening feel effortless, personal, and joyful for users around the world.</p>\n<p>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.</p>\n<p>If it touches a consumer, we shape it.</p>\n<p>We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.</p>\n<p>We’re looking for mid-level to senior product designers with strong visual design skills to join the team focusing on the core mobile experience.</p>\n<p>This team works on some of the most essential parts of the Spotify experience that shapes some of Spotify’s most iconic and emotionally resonant experiences - the features that help people connect with music, organize their libraries, and engage more deeply with what they love.</p>\n<p>You might be designing how users share and discover music with friends, how they create customise and manage playlists, or Whether it’s evolving how users organize their music, creating new ways to share audio socially, or integrating AI to help users find their next favorite song, you will work on the products that define the Core Spotify experience.</p>\n<p>It’s a high-impact, fast-moving space where priorities evolve as we explore new ways to bring users closer to the content they care about.</p>\n<p>As a designer here, you’ll have the opportunity to shape foundational experiences that millions of people use every day.</p>\n<p>This is a role for a designer who thrives on variety, moves quickly, and wants to see their work impact millions of listeners across multiple surfaces.</p>\n<h3>What You&#39;ll Do</h3>\n<ul>\n<li>Contribute to the design quality of high-priority features across the team&#39;s portfolio, moving between projects as product strategies evolve.</li>\n<li>Apply Spotify&#39;s design principles to generate thoughtful, user-centered solutions grounded in clear problem statements, constraints, and team goals.</li>\n<li>Design across core Spotify surfaces that drive long-term engagement, retention, and user satisfaction.</li>\n<li>Work on a range of experiences,from social sharing to playlist curation and library organization,adapting as priorities evolve.</li>\n<li>Frame design problems clearly by defining user needs, success criteria, constraints, and tradeoffs.</li>\n<li>Explore multiple concepts and directions, knowing when to go deep and when to pivot based on insights and feedback.</li>\n<li>Collaborate closely with product, engineering, research, and data partners to bring ideas to life.</li>\n<li>Leverage AI-powered tools to explore ideas, synthesize insights, prototype, and improve design efficiency and quality.</li>\n<li>Take ownership of the end-to-end design process, from early exploration through to final execution and iteration.</li>\n<li>Contribute to the broader design community by sharing work, feedback, and learnings.</li>\n</ul>\n<h3>Who You Are</h3>\n<ul>\n<li>You have experience designing mobile consumer products and can contribute independently to end-to-end design work.</li>\n<li>You know how to craft thoughtful interaction design, information architecture, and user journeys.</li>\n<li>You are comfortable working across ambiguity and can balance multiple product areas or shifting priorities.</li>\n<li>You care about understanding user needs and grounding your decisions in research and data.</li>\n<li>You have experience designing for mobile platforms and understand iOS and Android conventions.</li>\n<li>You are curious about personalization, AI, and how intelligent systems shape user experiences and trust.</li>\n<li>You communicate your design decisions clearly and can connect user needs to product outcomes.</li>\n<li>You enjoy collaborating with cross-functional partners and actively seek feedback to improve your work.</li>\n<li>You are comfortable using AI-enabled tools as part of your workflow.</li>\n<li>You have a portfolio that demonstrates your design process, thinking, and impact.</li>\n</ul>\n<h3>Where You&#39;ll Be</h3>\n<ul>\n<li>This role is based in London or Stockholm.</li>\n<li>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.</li>\n</ul>","enriched_at":1781790173105},{"id":"job_18a3f871-e55","title":"Data Infrastructure Engineer","source_url":"https://jobs.lever.co/spotify/4303f795-d0a5-41ed-8c78-0941780b6e54","location":"Toronto, ON","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>The Data Infrastructure product area at Spotify enables teams across the company to solve complex data challenges at scale. As a Data Infrastructure Engineer, you will collaborate with engineers across multiple squads to shape the future of data processing and developer experience at Spotify.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build large-scale batch and real-time data processing tools on Google Cloud Platform, improving developer experience and standardizing workflows</li>\n<li>Collaborate with product owners, engineers, and cross-functional squads to deliver impactful features across the data ecosystem</li>\n<li>Expand and evolve Spotify&#39;s data processing platform to meet growing and changing business needs</li>\n<li>Improve the experience for data practitioners by driving best practices, tooling, and standardization across the ecosystem</li>\n<li>Contribute to the evolution of a unified data platform, including efforts toward a data monorepo</li>\n<li>Support the development of systems that enable AI agents to effectively interact with and leverage data infrastructure</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3+ years of experience working in data engineering or a related field</li>\n<li>Experience with building and maintaining data pipelines using modern programming languages</li>\n<li>Strong understanding of systems design, data structures, and scalable architectures</li>\n<li>Comfortable working with high-volume, heterogeneous datasets in distributed cloud environments</li>\n<li>Experience with Python or JVM-based data processing frameworks such as Spark, Flink, or Dataflow</li>\n<li>Care deeply about developer experience and enjoy building tools that help others move faster</li>\n<li>Apply solid engineering practices like continuous delivery, testing, and writing maintainable, high-quality code</li>\n<li>Curious about emerging technologies, including AI and agent-based systems, and how they can improve data workflows</li>\n</ul>","enriched_at":1781790084369},{"id":"job_be533d8a-2f2","title":"Machine Learning Engineer - Personalization Team","source_url":"https://jobs.lever.co/spotify/d7c43743-2240-45b6-bc31-33e50cbaba4a","location":"New York","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. You will join a team working at the intersection of machine learning, music understanding, and user experience, focusing on generating music sessions powering experiences like conversational playlist generation.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience</li>\n<li>Work on prompted playlist experiences with a focus on music fulfillment and session generation</li>\n<li>Collaborate with cross-functional partners across user research, design, data science, product, and engineering</li>\n<li>Prototype new ML approaches and bring them into production at global scale</li>\n<li>Build and improve systems that connect artists and fans in personalized and meaningful ways</li>\n<li>Contribute to the development of scalable ML systems serving hundreds of millions of users</li>\n<li>Promote best practices in ML system design, testing, evaluation, and deployment across the organization</li>\n<li>Actively contribute to a strong community of machine learning practitioners at Spotify</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>Experienced in machine learning and enjoy solving complex real-world problems in collaborative environments</li>\n<li>Strong background in machine learning, natural language processing, and generative AI</li>\n<li>Comfortable applying theory to build real-world, production-ready applications</li>\n<li>Hands-on experience building and deploying end-to-end ML systems at scale</li>\n<li>Familiar with LLM-based systems and techniques for improving them using human feedback</li>\n<li>Experience designing modular ML architectures and writing technical specifications in partnership with product teams</li>\n<li>Experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark</li>\n<li>Have worked with cloud platforms like GCP or AWS</li>\n</ul>\n<h4>Location and Benefits</h4>\n<ul>\n<li>Based in New York with flexibility to work from home</li>\n<li>The United States base range for this position is $184,050 - $262,928 plus equity</li>\n<li>Benefits 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</li>\n</ul>","enriched_at":1781790061287},{"id":"job_8367f900-712","title":"Senior Research Scientist","source_url":"https://jobs.lever.co/spotify/c08408d0-1ed0-41b4-a8eb-e170fdd4bc7d","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We are seeking a Senior 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>The role involves conducting groundbreaking research in music generation, running large-scale experiments, creating practical applications, collaborating with cross-functional teams, and engaging with the broader research community.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Conduct research in music generation using diffusion, flow matching, or autoregressive models</li>\n<li>Run large-scale experiments with access to Spotify&#39;s extensive infrastructure</li>\n<li>Create practical applications that harness generative technologies</li>\n<li>Collaborate with scientists, engineers, product managers, designers, user researchers, and analysts</li>\n<li>Publish findings, deliver talks, and attend top conferences</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field</li>\n<li>Experience in generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas</li>\n<li>Publications in top conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV</li>\n<li>Strong coding skills in Python, PyTorch, NumPy</li>\n<li>Creative problem-solving skills and passion for building outstanding products</li>\n</ul>\n<p>Location:</p>\n<ul>\n<li>Flexible work location within the North Americas region</li>\n<li>Core working hours are CET 3pm-6pm / EST 9am-12pm</li>\n</ul>\n<p>Benefits:</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</ul>\n<p>Salary:</p>\n<ul>\n<li>$164,231 - $234,615 plus equity</li>\n</ul>","enriched_at":1781790057022},{"id":"job_0c6cc01d-ca7","title":"Ad Sales Training & Enablement Lead","source_url":"https://jobs.lever.co/spotify/30874804-804d-4f2c-8f5d-192ca8285930","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"<p>Join Spotify&#39;s Ad Sales Training &amp; Enablement team as a lead and help the global Sales organization perform at its best. You will design and deliver learning experiences that keep sellers confident, informed, and customer-focused.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Lead global product enablement initiatives across Spotify Advertising</li>\n<li>Partner cross-functionally with Product Marketing, Business Operations, Product, and Sales Leadership to support go-to-market readiness for new ad products</li>\n<li>Design and deliver training programs that help sellers understand Spotify&#39;s advertising solutions</li>\n<li>Translate complex product concepts into clear guidance</li>\n<li>Build and maintain scalable enablement resources</li>\n<li>Support enablement for internal sales teams and external/vendor partner organizations globally</li>\n<li>Create role-specific product training experiences</li>\n<li>Facilitate live and virtual training sessions</li>\n<li>Reinforce key sales skills</li>\n<li>Measure program effectiveness and gather seller feedback</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>5+ years of experience in sales training, sales enablement, product enablement, product marketing, ad operations, or a related field</li>\n<li>Experience working with advertising products, ad platforms, programmatic solutions, measurement products, or digital media offerings</li>\n<li>Ability to simplify complex product information into clear guidance</li>\n<li>Passion for helping sellers understand customer needs and product solutions</li>\n<li>Experience supporting product launches, change management, or go-to-market readiness initiatives</li>\n<li>Ability to build engaging learning experiences</li>\n<li>Comfortable facilitating trainings and presenting to groups</li>\n<li>Highly organized with ability to manage multiple projects and stakeholders</li>\n<li>Experience supporting vendor or partner sales organizations globally</li>\n<li>Experience in media sales, media buying, or digital advertising</li>\n</ul>\n<h4>Location and Benefits</h4>\n<ul>\n<li>Based in New York, NY or Los Angeles, CA</li>\n<li>Flexible work arrangements with 2 in-person meetings per week</li>\n<li>Up to 25% travel required</li>\n<li>$87,210–$124,586 USD base salary, plus equity</li>\n<li>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</li>\n</ul>","enriched_at":1781790032843},{"id":"job_d7ffab7e-16a","title":"Lead, User Growth Optimization","source_url":"https://jobs.lever.co/spotify/a16e1738-56f4-489d-8964-3cb249351ca8","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We are seeking a Lead, User Growth Optimization to elevate our conversion optimization strategy. This role involves both implementing current optimization initiatives and developing future conversion strategies and hypotheses. The successful candidate will report to the User Growth Optimization Director within the Growth team, focusing on increasing subscriptions, reducing churn, and maximizing lifetime value.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Drive conversion optimization across the full user funnel, with a clear focus on subscriptions, retention, and lifetime value.</li>\n<li>Develop bold, data-informed experimentation hypotheses based on quantitative analysis, user behavior, and research insights.</li>\n<li>Design, build, and iterate on A/B and multivariate experiments that influence messaging, design, localization, personalization, and user journeys.</li>\n<li>Implement front-end experiments using HTML, CSS, and JavaScript on Spotify&#39;s web surfaces.</li>\n<li>Work across a modern tech stack, including React and Next.js, to ensure experiments are robust, scalable, and performant.</li>\n<li>Deploy and manage experiments using Spotify&#39;s in-house experimentation platform and selected third-party testing tools.</li>\n<li>Partner closely with R&amp;D teams on implementation details and technical alignment.</li>\n<li>Collaborate with marketing, growth, and business stakeholders to support campaigns, market initiatives, and specific traffic strategies.</li>\n<li>Maintain an agile optimization workflow with continuous testing, learning, and iteration.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>You have 5+ years of experience working with conversion rate optimization, experimentation, and A/B testing methodologies.</li>\n<li>You bring a strong strategic and analytical mindset, using data to guide decisions and shape hypotheses.</li>\n<li>You are confident coding front-end experiments using JavaScript, HTML, and CSS in production environments.</li>\n<li>You have experience working with modern JavaScript frameworks such as React (experience with Angular or similar frameworks is a plus).</li>\n<li>You have hands-on experience with commercial experimentation or personalization tools such as Optimizely, Adobe Target, or Google Optimize.</li>\n<li>You&#39;ve worked in online consumer products, digital subscriptions, e-commerce, media, or fast-moving tech environments.</li>\n<li>You are comfortable collaborating in shared codebases and using version control tools.</li>\n<li>You are organized, proactive, and able to keep complex initiatives moving forward across multiple stakeholders.</li>\n<li>You communicate fluently in English and enjoy working with international teams and global markets.</li>\n</ul>\n<h3>Location</h3>\n<ul>\n<li>This role is based in London.</li>\n<li>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.</li>\n</ul>","enriched_at":1781790029376}],"category_normalised":[{"category":"engineering","count":64},{"category":"sales","count":15},{"category":"marketing","count":12},{"category":"legal","count":8},{"category":"finance","count":8},{"category":"design","count":4},{"category":"operations","count":3},{"category":"it","count":2}],"velocity":{"weeks":[{"week_start":"2026-03-30","count":6},{"week_start":"2026-04-20","count":14},{"week_start":"2026-05-04","count":7},{"week_start":"2026-05-11","count":13},{"week_start":"2026-05-18","count":7},{"week_start":"2026-05-25","count":9},{"week_start":"2026-06-08","count":14},{"week_start":"2026-06-15","count":49}],"trend":"accelerating","wow_pct":250},"momentum":{"recent_14d":63,"prior_14d":9,"growth_pct":600,"classification":"accelerating"},"salary_vs_industry":{"company_median":195968.25,"industry_median":null,"percentile":null,"sample_size":46,"by_region":[{"region":"United States","company_median":199687,"industry_median":null,"sample":29},{"region":"Unknown","company_median":169500,"industry_median":null,"sample":17}],"transparency_pct":39,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":119,"industry_total":119,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.339,"skill_weighted_score":0.461,"top_exposed_titles":[{"title":"Research Scientist","count":3,"score":0.46},{"title":"Machine Learning Engineer","count":3,"score":0.46},{"title":"Staff Machine Learning Engineer","count":2,"score":0.461},{"title":"Staff Engineer","count":2,"score":0.145},{"title":"Senior Staff Machine Learning Engineer","count":2,"score":0.461},{"title":"Sales Leader for Shipping Our Expertise (SOE)","count":2,"score":0.23},{"title":"Product Manager - User Understanding","count":2,"score":0.32},{"title":"Machine Learning Engineer - Policy & Safety","count":2,"score":0.461},{"title":"Machine Learning Engineer - Content Safety and Policy Enforcement","count":2,"score":0.461},{"title":"Legal Counsel, Platform Liability & Enforcement","count":2,"score":0.167}],"top_exposed_skills":[{"skill":"TensorFlow","count":6,"score":0.461},{"skill":"Evaluation Frameworks","count":7,"score":0.461},{"skill":"Natural Language Processing","count":4,"score":0.461},{"skill":"Multimodal Machine Learning","count":4,"score":0.461},{"skill":"Large Language Models","count":5,"score":0.461},{"skill":"PyTorch","count":13,"score":0.46},{"skill":"Apache Beam","count":3,"score":0.46},{"skill":"Scio","count":3,"score":0.46},{"skill":"NumPy","count":3,"score":0.46},{"skill":"Generative Modeling","count":3,"score":0.46}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":31,"share_pct":29.2},{"region":"United Kingdom","count":31,"share_pct":29.2},{"region":"Unknown","count":15,"share_pct":14.2},{"region":"Canada","count":6,"share_pct":5.7},{"region":"EU","count":6,"share_pct":5.7},{"region":"India","count":5,"share_pct":4.7},{"region":"APAC","count":4,"share_pct":3.8},{"region":"Latin America","count":3,"share_pct":2.8},{"region":"Australia/NZ","count":2,"share_pct":1.9},{"region":"EMEA Other","count":2,"share_pct":1.9},{"region":"Middle East","count":1,"share_pct":0.9}],"emerging":[{"region":"United Kingdom","recent_30d":21,"prior_30d":8,"growth_pct":163},{"region":"United States","recent_30d":20,"prior_30d":10,"growth_pct":100},{"region":"Canada","recent_30d":5,"prior_30d":1,"growth_pct":400},{"region":"EU","recent_30d":4,"prior_30d":2,"growth_pct":100},{"region":"India","recent_30d":3,"prior_30d":1,"growth_pct":200},{"region":"Latin America","recent_30d":3,"prior_30d":0,"growth_pct":100}],"shrinking":[{"region":"Unknown","recent_30d":4,"prior_30d":10,"growth_pct":-60}]},"seniority_anomalies":{"exec_recent_30d":4,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Head of Sales, Shipping Our Expertise (SOE)","location":"London","posted_at":"2026-06-19"},{"title":"Director of Engineering, Experience","location":"Stockholm","posted_at":"2026-06-18"},{"title":"Director of Sales, Emerging & Scaled (Southern Europe)","location":"Madrid, ES","posted_at":"2026-06-10"},{"title":"Associate Director, Podcast Policy","location":"New York, NY","posted_at":"2026-06-09"}]},"posting_dynamics":{"median_days_open":27,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":49}}}}