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creative.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Lead the creative vision for Spotify&#39;s global social channels, delivering innovative, high-quality storytelling that strengthens the brand across Brand, Product, Music, Podcasts, Audiobooks, and Fitness.</li>\n<li>Partner with cross-functional teams to develop and deliver social-first campaigns from concept through execution.</li>\n<li>Lead, mentor, and inspire a team of creatives, fostering a collaborative, inclusive environment and ensuring creative excellence across every project.</li>\n<li>Champion consistency by maintaining Spotify&#39;s social brand guidelines, developing scalable creative toolkits, and partnering with regional teams to deliver a cohesive global social presence.</li>\n<li>Stay ahead of emerging social trends, platform capabilities, and audience behaviors, while confidently presenting creative work and recommendations to senior leadership.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>At least 10+ years of 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six-month paid parental leave, 401(k) retirement plan, 23 paid days off, and 13 paid flexible holidays.</li>\n</ul>","enriched_at":1785860902074},{"id":"job_bc76194e-a34","title":"Marketing Manager","source_url":"https://jobs.lever.co/spotify/d174a24c-bf16-4661-9b9a-32396e883c25","location":"Taipei","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Marketing","description":"<p>Spotify is looking for a Marketing Manager to lead its marketing strategy and execution in Taiwan.</p>\n<p>This is a hands-on, high-impact role for someone who can set strategy, lead integrated campaigns, create engaging social content, and make Spotify one of the most talked-about brands in one of Asia&#39;s most vibrant music markets.</p>\n<p>Taiwan is the birthplace of Mandopop and a cultural tastemaker for the broader Chinese-speaking world. Growing the Spotify brand and business in this market demands genuine cultural fluency, a deep understanding of what resonates across social platforms, strong relationships within the music and creative industries, and the ability to turn insights into bold, locally relevant campaigns that grow our listener base and strengthen our connection with fans and artists.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Own Spotify Taiwan&#39;s consumer marketing strategy, driving free user acquisition, engagement, and Premium consideration</li>\n<li>Develop and execute integrated marketing campaigns across digital, social, out-of-home, experiential, and earned media with ideas designed to spark conversation and deliver measurable business impact</li>\n<li>Lead go-to-market planning for key product launches, seasonal campaigns, and major cultural moments</li>\n<li>Localize global campaigns for Taiwanese audiences, ensuring every activation reflects genuine cultural relevance rather than simple translation</li>\n<li>Use audience insights, market intelligence, and campaign performance data to inform decisions and continuously optimize marketing effectiveness</li>\n<li>Measure, analyze, and communicate campaign performance to regional leadership through clear recommendations and actionable insights</li>\n<li>Lead Spotify&#39;s Taiwan brand strategy in alignment with regional and global positioning while ensuring the brand feels authentic and locally meaningful</li>\n<li>Partner closely with the Taiwan Music team to develop campaigns supporting priority local and global releases and create scalable marketing frameworks for label partners</li>\n<li>Manage the Taiwan marketing budget, prioritizing investments that deliver the greatest impact</li>\n<li>Build and maintain strong relationships with creative, media, production, and agency partners to consistently deliver high-quality work</li>\n<li>Act as the voice of the Taiwan market, influencing regional and global stakeholders on campaign strategy, creative development, and market priorities</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>You have 6+ years of experience in consumer or brand marketing, with strong experience leading marketing initiatives in Taiwan</li>\n<li>You have deep knowledge of Taiwan&#39;s music, entertainment, and cultural landscape, including Mandopop, emerging artists, internet culture, and local media</li>\n<li>You have successfully led integrated marketing campaigns from strategy through execution that delivered measurable business results</li>\n<li>You have created or led campaigns and social content that generated outsized reach, engagement, or cultural conversation relative to budget</li>\n<li>You know how to use data and customer insights to develop business cases, evaluate campaign performance, and optimize future marketing investments</li>\n<li>You have experience managing agencies, external partners, and cross-functional stakeholders in a fast-paced environment</li>\n<li>You have exceptional storytelling instincts and understand how to create culturally relevant campaigns that resonate with Taiwanese audiences</li>\n<li>You communicate confidently with senior stakeholders and can influence decisions across regional and global teams</li>\n<li>You are highly organized, comfortable managing multiple priorities, and thrive in a dynamic, collaborative environment</li>\n<li>You have experience working within technology, media, entertainment, or other consumer-focused industries</li>\n<li>You are fluent in both Mandarin and English, written and spoken</li>\n</ul>","enriched_at":1785773295735},{"id":"job_fe3eaad3-398","title":"Staff Machine Learning Engineer","source_url":"https://jobs.lever.co/spotify/9761af44-be41-43ca-8c01-79cdbb2aef93","location":null,"job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. We&#39;re behind some of Spotify&#39;s most-loved features, such as Blend and Discover Weekly.</p>\n<p>The Surfaces Moments team, a machine learning (ML) team within the Personalization Mission, focuses on creating moment-based experiences across Spotify surfaces. As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You&#39;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.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.</li>\n<li>Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.</li>\n<li>Build content recommendation systems for emerging agentic and AI-powered user experiences.</li>\n<li>Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.</li>\n<li>Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.</li>\n<li>Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.</li>\n<li>Improve ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.</li>\n<li>Drive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems.</li>\n<li>Mentor and support other machine learning engineers, helping raise the bar across the team.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>8+ years of experience building and deploying machine learning systems in production environments.</li>\n<li>Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.</li>\n<li>Strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.</li>\n<li>Experience with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.</li>\n<li>Worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization.</li>\n<li>Care deeply about creating high-quality user experiences through thoughtful application of machine learning.</li>\n<li>Communicate effectively across technical and non-technical audiences, and influence technical decisions beyond your immediate team.</li>\n<li>Know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes.</li>\n<li>Experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.</li>\n<li>Experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.</li>\n</ul>\n<h3>Location and Benefits</h3>\n<ul>\n<li>Flexible work location within the North Americas region.</li>\n<li>The team operates within the Eastern Standard time zone for collaboration.</li>\n<li>The United States base range for this position is $227,495- $324,993 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":1785514764288},{"id":"job_c3262dcf-d8d","title":"Engineering Manager","source_url":"https://jobs.lever.co/spotify/aca5697a-a87a-415e-8d58-627bb782cce8","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for listeners.</p>\n<p>You will join the Saturn squad within Sessions, part of Spotify&#39;s Personalization Mission, and lead a team of machine learning, backend, and data engineers.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.</li>\n<li>Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.</li>\n<li>Guide the design, development, deployment, and operation of production machine learning systems at scale.</li>\n<li>Support engineers through technical mentorship, career development, performance management, and regular feedback.</li>\n<li>Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.</li>\n<li>Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.</li>\n<li>Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.</li>\n<li>Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>Experience leading and developing high-performing engineering teams.</li>\n<li>Built trust through coaching, mentoring, and supporting engineers in their career growth.</li>\n<li>Deep expertise building and operating production machine learning systems at scale.</li>\n<li>Understanding of the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.</li>\n<li>Experience working with modern machine learning techniques, including large language models and generative AI applications.</li>\n<li>Effective communication across engineering, product, and data science partners.</li>\n<li>Care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.</li>\n<li>Balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.</li>\n</ul>\n<h4>Location and Benefits</h4>\n<ul>\n<li>Flexible work location within the Eastern Standard time zone.</li>\n<li>Salary range: $184,049 - $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":1785514737487},{"id":"job_7b625c30-cac","title":"Senior Workplace Experience Coordinator","source_url":"https://jobs.lever.co/spotify/58b112cc-7798-4083-9b88-589ab2ad04d7","location":"Seoul","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"HR","description":"<p>Spotify is a leading audio streaming tech company, crafting outstanding experiences for our users and for our people.</p>\n<p>The Workplace Experience Services function is committed to creating a world-class work environment. One that attracts and retains top talent, fuels groundbreaking ideas, and cultivates a vibrant atmosphere. By making the workplace inspiring, energizing, and deeply connected, we ensure Spotify is not only where people belong, but where they do the best work of their lives. Together, we’re shaping the workplace of the future.</p>\n<p>As Senior Workplace Experience Coordinator based in the Spotify Seoul office, you&#39;ll be a key player in shaping the daily experience of our employees in our office. You&#39;ll bring a high performance perspective and a proactive approach to ensuring the office is a welcoming, highly productive, and engaging hub that reflects our creative culture. You&#39;ll be a champion collaborator, working closely with various internal teams to implement and enhance initiatives that make our workplace truly exceptional.</p>\n<h4>What You&#39;ll Do</h4>\n<ul>\n<li>Create an exceptional workplace experience where every detail, from the energy of the space to the services provided, enables people to connect and perform at their best. You’ll make sure our spaces don’t just function, they inspire. From coordinating maintenance and the snacks &amp; bev offerings to keeping every detail aligned with our brand, you’ll ensure our workplaces look and feel Spotify, starting with memorable new-hire onboarding experiences that reflect our culture of creativity and care</li>\n<li>Be the driving force behind a vibrant office culture, curating moments and events that spark creativity, belonging, and joy</li>\n<li>You’ll act as a culture ambassador by creating experiences that make work inspiring, energetic, and unforgettable while providing seamless internal event support that allows employees to stay focused on what they do best</li>\n<li>Lead local operations with excellence, ensuring the day-to-day office experience runs smoothly through proactive vendor management, strong service quality, and a high sense of ownership. You’ll know what amazing looks like and make sure we deliver it consistently</li>\n<li>Leverage AI tools and data-driven insights to anticipate needs, optimize services, and run the workplace with smart, efficient processes. With your strong organizational skills and a proactive mindset. You’ll combine human warmth and intuition with technological precision to make every part of the employee experience effortless</li>\n<li>Collaborate across regions and functions to align local practices with our global vision. You’ll exchange ideas, contribute to shared standards, and help shape the future of workplace experience across Spotify. This includes working on local, regional and global projects that constantly raise the bar for how we deliver exceptional experiences</li>\n<li>Partner with local stakeholders and cross functional teams to ensure the office is well-supported and act as a go-to contact for on-the-ground questions</li>\n</ul>\n<h4>Who You Are</h4>\n<ul>\n<li>You have a minimum of 4 years of experience in workplace experience, office management, hospitality, or a related field</li>\n<li>You are great at building relationships and excel at making people feel welcome, supported and inspired</li>\n<li>You&#39;re organized, and able to handle multiple priorities effectively</li>\n<li>You have a can-do attitude and are always looking for ways to improve processes and tackle problems</li>\n<li>You communicate clearly and effectively, both verbally and in writing</li>\n<li>You have a strong understanding of and sensitivity to diverse cultures and are committed to fostering an inclusive workplace. Experience working in a global or multi-site environment is a plus</li>\n<li>You&#39;re comfortable using AI tools and various technology platforms and are open to adopting new tools</li>\n<li>You embrace our company culture and bring energy and passion to your work</li>\n<li>You thrive in a team environment and are skilled at building strong working relationships with diverse team members</li>\n<li>Proficiency in English and Korean is a requirement</li>\n</ul>","enriched_at":1785424764066},{"id":"job_e9d4601c-f8b","title":"Fraud Analyst","source_url":"https://jobs.lever.co/spotify/5992c673-e493-48b1-bb63-9b82a4c31876","location":"London","job_type":"temporary","experience_level":"mid","work_arrangement":"hybrid","category":"Operations","description":"<p>Are you passionate about combating fraud, safeguarding revenue, and protecting users from sophisticated threats? As Spotify continues to grow and innovate, we are looking for a dedicated Fraud Analyst to join our Revenue Protection Operations team. In this role, you will play a crucial role in enhancing our fraud prevention strategy,ensuring a proactive balance between user growth, revenue protection, and maintaining a safe, scalable platform.</p>\n<p>With scale comes complexity. You will focus on tackling payment fraud, chargebacks/disputes, creator onboarding and platform misuse that risks revenue leakage and partner trust.</p>\n<p>As a 12-month cover, you will seamlessly step into our ongoing operations, keeping our momentum strong while bringing fresh perspectives to our workflows. You will work with a global team of world-class business managers, data scientists, product managers, and engineers to build robust operational defenses. If you have a keen eye for detail, strong analytical skills, and a drive to stay one step ahead of fraudsters using cutting-edge technologies, we want to hear from you!</p>\n<h3>What You’ll Do</h3>\n<ul>\n<li>Detection &amp; Mitigation: Review suspicious activity flagged by our fraud systems and take swift mitigating and preventative action to protect our genuine users, secure our growth, and minimize revenue leakage.</li>\n</ul>\n<ul>\n<li>AI &amp; Tooling Innovation: Actively utilize, test, and adopt emerging AI technologies and automated tooling to enhance fraud detection and improve operational productivity.</li>\n</ul>\n<ul>\n<li>Build &amp; Optimize: Partner closely with internal Product and Engineering teams as well as external vendors to help contribute to the design, requirement gathering, and testing of tooling and system changes to capture evolving fraud and abuse trends early.</li>\n</ul>\n<ul>\n<li>Trend Analysis &amp; Investigation: Be creative and proactively seek out new fraud and misuse trends. Present data-informed findings and retrospectives to suggest robust performance guardrails.</li>\n</ul>\n<ul>\n<li>Cross-Functional Collaboration: Handle daily fraud and misuse escalations while working closely with Data Science, Engineering, and Product teams to translate operational insights into risk mitigation frameworks.</li>\n</ul>\n<ul>\n<li>Operational Excellence: Support the Revenue Protection leadership in maintaining and improving internal policies, process automation, evidence handling, and operational playbooks.</li>\n</ul>\n<h3>Who You Are</h3>\n<ul>\n<li>Experience: 2+ years of experience in a fraud analyst or revenue protection role, preferably within an e-commerce, merchant fraud, or creator &amp; marketplace platform environment. Given the fixed-term nature of this role, the ability to rapidly adapt and hit the ground running is highly valued.</li>\n</ul>\n<ul>\n<li>Domain Knowledge: Familiarity with common fraud prevention techniques, dispute/chargeback management, financial crime risks, and emerging industry trends.</li>\n</ul>\n<ul>\n<li>AI &amp; Systems Mindset: Direct experience working with machine learning and rule-based fraud prevention tooling (such as Ravelin, Sift, Signifyd, Accertify, etc.). You possess the confidence and curiosity to leverage AI technologies to test, scale, and optimize internal fraud detection tools.</li>\n</ul>\n<ul>\n<li>Data Proficiency: Strong data analysis skills using SQL (knowledge of Google BigQuery is a plus) and experience with dashboard visualization tools like Looker, Tableau, or similar.</li>\n</ul>\n<ul>\n<li>Analytical Thinker: An ambitious and creative problem solver who works well independently, thrives when handling ambiguity, and can break down complex technical risks into practical applications.</li>\n</ul>\n<ul>\n<li>Collaborator &amp; Communicator: A highly communicative person with a collaborative mindset who excels at building strong relationships with internal stakeholders, operations, and global partners.</li>\n</ul>\n<h3>Where You’ll Be</h3>\n<ul>\n<li>You&#39;ll be based in London, UK.</li>\n</ul>\n<ul>\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":1785424737623},{"id":"job_2deda445-785","title":"Product & Regulatory Compliance Operator","source_url":"https://jobs.lever.co/spotify/1cafb489-9cae-4417-b272-832617484de0","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Legal","description":"<p>Spotify&#39;s Product &amp; Regulatory team within Legal Affairs is seeking a resourceful operator to manage day-to-day product and regulatory compliance work. The ideal candidate will own document management, regulatory monitoring, terms updates, and cross-functional special projects.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and improve document management for the product and regulatory team</li>\n<li>Build and maintain regulatory monitoring practices</li>\n<li>Manage terms-of-service and policy update processes end-to-end</li>\n<li>Project-manage special projects and cross-functional initiatives</li>\n<li>Support responses to regulatory requests for information (RFIs) and audits</li>\n<li>Develop and maintain internal playbooks, process documentation, and communications</li>\n<li>Coordinate with Product, Trust &amp; Safety, and Engineering to keep operational controls and reporting processes on track</li>\n<li>Identify operational gaps and drive continuous improvement</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years&#39; experience in operations, program management, or legal operations in a tech, digital-platform, or media environment</li>\n<li>Familiarity with online-platform regulation (DMA, DSA, UK OSA, AUS OSA, COPPA) is a plus</li>\n<li>Proven project manager with excellent communication skills</li>\n<li>Resourceful and scrappy with experience in document management and knowledge organization</li>\n<li>Comfortable working across global time zones and cultures in a fast-paced environment</li>\n<li>Experience with project management tools (Jira, Asana, Notion, or similar)</li>\n</ul>\n<p>The role offers a salary range of $125,701 - $179,574 plus equity, 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>","enriched_at":1785346453973},{"id":"job_6f9921c5-556","title":"Culture Marketing Lead","source_url":"https://jobs.lever.co/spotify/6a1a105a-b471-4a68-aea8-54cdb1051a21","location":"Dubai","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Marketing","description":"<p>Spotify is looking for a senior marketing leader to join its MENAT+ team as Culture Marketing Lead. This is a rare opportunity to define and own the cultural narrative of Spotify across some of the most dynamic and fast-growing markets in the world, including Türkiye, Egypt, and Saudi Arabia.</p>\n<p>As part of the Marketing team, you&#39;ll lead culture, content, and experiential marketing efforts, building campaigns at the intersection of music, culture, and community to make Spotify the true home for fans. You&#39;ll bring deep expertise in the MENA and Türkiye cultural and creative landscape, along with a proven track record of building brands that authentically move with culture.</p>\n<p>Working closely with the Music team, Global Brand teams, artists, creators, and external partners, you&#39;ll deliver marketing that fans genuinely love. This role reports to the Head of Marketing, MENAT+.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Define and lead Spotify&#39;s culture marketing strategy across MENAT+, developing campaigns that tap into music, pop culture, and youth culture to grow brand love and cultural relevance.</li>\n<li>Lead the development and execution of culturally rooted campaigns spanning content, partnerships, creator collaborations, and experiential marketing.</li>\n<li>Partner closely with Spotify&#39;s Music team to develop and execute artist marketing plans and integrated go-to-market campaigns, serving as the primary marketing interface for music and artist-led initiatives across the region.</li>\n<li>Define the region&#39;s content pillars and editorial voice, working across short-form video, long-form storytelling, social-first content, editorial features, and emerging formats to create content that earns attention organically.</li>\n<li>Build and manage high-impact experiential activations, live events, and fan experiences that connect Spotify to local culture in meaningful ways.</li>\n<li>Serve as the cultural authority for the region, championing bold, original ideas while ensuring consistency with Spotify&#39;s global brand.</li>\n<li>Lead, coach, and develop a team of Content Marketing Managers, fostering collaboration, creativity, and high performance.</li>\n<li>Establish measurement frameworks for culture and content marketing, using audience insights and performance data to refine strategy and demonstrate business impact.</li>\n<li>Stay ahead of cultural trends, shifts in consumer behaviour, and the competitive landscape across MENA and Türkiye, bringing fresh perspectives and outside-in thinking to the team.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>You have 10+ years of experience in marketing, with a significant focus on culture, music, content, and experiential marketing, ideally within entertainment, media, or technology platforms.</li>\n<li>You are a content strategist at heart and have built content programmes from the ground up, with a deep understanding of how different formats perform across platforms and a strong editorial instinct for what a brand should and shouldn&#39;t say.</li>\n<li>You have extensive experience partnering with music teams, artists, labels, and creative partners, and understand how to balance artist storytelling with brand objectives.</li>\n<li>You have successfully built, led, and developed high-performing marketing teams.</li>\n<li>You are deeply immersed in music and culture across MENA and Türkiye, with an authentic understanding of the artists, communities, movements, and cultural moments that shape audiences across the region.</li>\n<li>You think strategically and culturally, identifying where Spotify should show up and inspiring cross-functional teams and partners around a compelling vision.</li>\n<li>You thrive in a fast-paced, matrixed environment and are comfortable navigating ambiguity, influencing stakeholders, and collaborating across global and regional teams.</li>\n<li>You are fluent in English and Arabic. Turkish language proficiency is a strong advantage.</li>\n</ul>\n<h4>Location</h4>\n<ul>\n<li>This role is based in Dubai.</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":1785345259084},{"id":"job_e4bb5d55-1a7","title":"Staff Data Engineer","source_url":"https://jobs.lever.co/spotify/ba9d817a-a4aa-4452-ab56-ddd7cbc10943","location":null,"job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>Spotify is on an ambitious path to reach one billion users and $100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible.</p>\n<p>The team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. They enable better decisions across analytics, experimentation, machine learning, and product development.</p>\n<p>We&#39;re looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You&#39;ll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify&#39;s future.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact.</li>\n<li>Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences.</li>\n<li>Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions.</li>\n<li>Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads.</li>\n<li>Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability.</li>\n<li>Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem.</li>\n<li>Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision.</li>\n<li>You have extensive experience designing, building, and operating large-scale cloud-native data platforms.</li>\n<li>You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools.</li>\n<li>You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices.</li>\n<li>You know how to balance immediate business needs with long-term architectural sustainability.</li>\n<li>You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone.</li>\n<li>You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership.</li>\n<li>You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback.</li>\n<li>You are motivated by building platforms that directly influence Spotify&#39;s long-term subscriber growth and business success.</li>\n</ul>\n<h4>Location</h4>\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>","enriched_at":1785248012624},{"id":"job_18135476-4d6","title":"Contractor Music Editor","source_url":"https://jobs.lever.co/spotify/eb46cf13-b113-4b80-9c93-c3c8781aff85","location":"Sydney, NSW","job_type":"contract","experience_level":"senior","work_arrangement":"hybrid","category":"Design","description":"<p>Spotify is looking for a Contractor Music Editor to join its ANZ Editorial team, reporting to the Editorial Lead in Sydney. This is a 12-month contract role.</p>\n<p>As a Contractor Music Editor, you will help influence how millions of listeners in Australia and New Zealand experience music on Spotify. You will work with world-leading technology and product teams to sharpen recommendations and deliver the best possible listening experience for a broad and diverse audience.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Curate engaging playlists and editorial experiences across genres for ANZ audiences, balancing data insight with cultural instinct and human judgement.</li>\n<li>Analyse user behaviour, streaming data, and performance metrics to optimise programming and surface audience-growth opportunities.</li>\n<li>Create compelling written commentary, video content, and on-camera editorial moments that bring Spotify&#39;s editorial voice to life on platform and across social channels.</li>\n<li>Identify emerging music trends, scenes, and culturally significant moments , ensuring Spotify&#39;s local programming is timely and authoritative.</li>\n<li>Champion local artists and identify export opportunities across Spotify&#39;s global editorial network.</li>\n<li>Work cross-functionally with other departments within Spotify (including marketing and comms) to realise local market goals and editorial priorities.</li>\n<li>Contribute to the development of creative editorial formats that deepen user engagement and trust.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>A minimum of 3+ years of experience in music programming, curation, culture journalism, or a related role across digital, radio, music, TV, or similar platforms.</li>\n<li>Broad genre expertise with deep knowledge across Dance, Electronic, and Hip-Hop.</li>\n<li>Strong understanding of Australian and New Zealand music culture, with the ability to read and forecast cultural trends globally.</li>\n<li>Confident and engaging on camera, with the ability to talk about music with authority and authenticity for a broad audience.</li>\n<li>Excellent written skills , able to craft sharp, compelling commentary on music and culture.</li>\n<li>Deep understanding of digital content, social media, and digital culture, with proven experience in engaging with young audiences online.</li>\n<li>Proven experience using AI tools to drive process efficiency and enhance workflows.</li>\n<li>Comfortable using data and analytics to inform editorial decisions and measure performance.</li>\n<li>A keen eye for design and visual storytelling , understanding what makes compelling artwork and playlist imagery.</li>\n<li>Detail-oriented, organised, and able to manage a high volume of programming.</li>\n<li>Collaborative, curious, and energised by working at the intersection of music, culture, and technology.</li>\n</ul>\n<h4>Work Arrangements</h4>\n<ul>\n<li>This contract is based in Sydney, Australia.</li>\n<li>While there is flexibility to work remotely, attendance at the Sydney office is expected approximately 3 days per week for in-person collaboration.</li>\n</ul>","enriched_at":1785247991743}],"category_normalised":[{"category":"engineering","count":40},{"category":"sales","count":16},{"category":"marketing","count":12},{"category":"legal","count":7},{"category":"finance","count":6},{"category":"design","count":5},{"category":"operations","count":2},{"category":"it","count":1},{"category":"hr","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-20","count":10},{"week_start":"2026-05-04","count":2},{"week_start":"2026-05-11","count":7},{"week_start":"2026-05-18","count":4},{"week_start":"2026-05-25","count":7},{"week_start":"2026-06-08","count":3},{"week_start":"2026-06-15","count":19},{"week_start":"2026-06-22","count":5},{"week_start":"2026-06-29","count":3},{"week_start":"2026-07-06","count":7},{"week_start":"2026-07-13","count":7},{"week_start":"2026-07-20","count":9},{"week_start":"2026-07-27","count":9},{"week_start":"2026-08-03","count":1}],"trend":"decelerating","wow_pct":-89},"momentum":{"recent_14d":18,"prior_14d":14,"growth_pct":29,"classification":"accelerating"},"salary_vs_industry":{"company_median":197540,"industry_median":null,"percentile":null,"sample_size":33,"by_region":[{"region":"United States","company_median":197540,"industry_median":null,"sample":21},{"region":"Unknown","company_median":205405,"industry_median":null,"sample":11}],"transparency_pct":35,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":93,"industry_total":93,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.341,"skill_weighted_score":0.429,"top_exposed_titles":[{"title":"Staff Machine Learning Engineer","count":3,"score":0.46},{"title":"Senior Product Manager","count":3,"score":0.32},{"title":"Staff Engineer","count":2,"score":0.145},{"title":"Senior Staff Machine Learning Engineer","count":2,"score":0.461},{"title":"Research Scientist","count":2,"score":0.461},{"title":"Machine Learning Engineer - 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