Urwah Admin

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Research Science</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
We are seeking a Staff 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. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:</div></div><div><div><div><br>
</div><div>Partnerships with record labels, distributors, and music publishers: We&rsquo;ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</div><div>
Choice in participation: We recognize there&rsquo;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.</div><div>
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.</div><div>
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. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.</div><div><br>
</div><div>For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.</li><li>
Run large-scale experiments with access to Spotify&rsquo;s extensive infrastructure and an audience of more than 700 million monthly active users.</li><li>
Create practical applications that harness generative technologies, pushing the boundaries of what&rsquo;s possible in listening experiences.</li><li>
Collaborate as part of a cross-functional team&mdash;working closely with scientists, engineers, product managers, designers, user researchers, and analysts&mdash;to craft innovative solutions to complex challenges.</li><li>
Have a direct impact on Spotify&rsquo;s products, tools, and services, working on projects that influence the entire organization.</li><li>
Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.</li><li>
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.</li><li>
You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.</li><li>
You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.</li><li>
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li><li>
You are enthusiastic about learning more about turning research ideas into products operating at scale.</li><li>
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.</li><li>
This team operates within the Eastern Standard time zone for collaboration.</li><li>
Core working hours are CET 3pm-6pm / EST 9am-12pm.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $203,795 - $291,136 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Staff Research Scientist, Music

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>We are seeking a Senior Machine Learning Engineer to join the Ad Engagement squad. Ad Engagement focuses on using machine learning to accurately predict how Spotify listeners will react to ads, helping advertisers minimize their costs while delivering a more relevant and enjoyable ad experience for listeners. Our core innovations include Multi-Task Learning models (MTL), and we are expanding into scalable sequence modeling with complex transformer architectures. Recently, we presented a paper about this in KDD Toronto and you can check out the latest details in the blog post here.</div><div><br>
</div><div>We are also seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.</div><div><br>
</div><div>We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-scale ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Design and implement machine learning systems for ad performance optimization.
</li><li>Research and apply ML optimization strategies to balance multiple objectives effectively.</li><li>
Work on a paradigm shift modeling work for Ads that involves working on Sequence Transformer model for User-Ad Interaction, that works along a MTL model</li><li>
Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.</li><li>
Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have professional experience in applied machine learning.</li><li>
You have strong technical expertise in software engineering, data analysis, and machine learning.</li><li>
You are proficient in programming languages such as Python, Java, or Scala.</li><li>
Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle</li><li>
You have expertise in developing data pipelines using tools like Apache Beam or Spark.</li><li>
As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.</li><li>
This team operates within the U.S. Eastern time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $176,166.00 - $251,666.00, plus equity. The benefits available for this position 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div></div><div><div><p><br>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Senior Machine Learning Engineer, Ads R&D

<div><div><div><div><div><div>Finance</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Spotify is seeking a sharp, detail-oriented, and collaborative Senior Accountant to join our Content Accounting team (based in New York City), supporting the Podcast and Music (Labels) verticals. The selected candidate will report into the Manager of Content Accounting, and will provide support on various areas of content accounting and some of the most exciting aspects of our business.</div></div></div><div><div><p>
What You'll Do</p><ul><li>
Execute monthly global content accounting close processes for the podcast and music (labels) verticals, ensuring timely and accurate financial reporting</li><li>
Prepare and/or review monthly journal entries, uplifts, account reconciliations, roll forwards, and flux analyses</li><li>
Own end-to-end accounting processes for content-related contracts, including minimum guarantees, flat-fee arrangements, and revenue share models</li><li>
Develop and enhance content accounting processes, controls, and documentation</li><li>
Support internal, external, and third-party audits by providing necessary documentation and insights related to designated areas</li><li>
Collaborate cross-functionally with Technical Accounting, Financial Systems, Legal, Licensing, Internal Audit, FP&amp;A, Tax, and other business stakeholders on policies, process improvements, and system initiatives</li><li>
Contribute to process improvements, automation efforts, and documentation to enhance the scalability and efficiency of content accounting operations</li><li>
Participate in special projects, system implementations, and process transformation initiatives as the business continues to evolve</li><li>
Occasionally travel to collaborate with global team members</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
Bachelor&rsquo;s degree in Accounting or Finance required</li><li>
CPA or CA preferred</li><li>
Minimum of 4 years relevant professional experience preferred</li><li>
Big 4 experience preferred</li><li>
Excellent time and self-management skills, ability to prioritize and multitask to meet deadlines</li><li>
Strong excel and/or google sheets skills, and be comfortable with extremely large data</li><li>
Comfortable working in a fast paced and constantly changing environment</li><li>
Previous experience of IFRS and/or SOX is an advantage</li><li>
Experience in the entertainment, media, or tech space is an advantage</li><li>
Experience with major ERP systems (Oracle, SAP or Netsuite) is an advantage</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
This role is based in New York, NY</li><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. We ask that you come into the office 2-3 days per week.</li><li>
Working hours? We operate within the EST zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $89,903-$119,861 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Senior Content Accountant

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Research Science</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
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. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:</div></div><div><div><div><br>
</div><div>Partnerships with record labels, distributors, and music publishers: We&rsquo;ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</div><div>
Choice in participation: We recognize there&rsquo;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.</div><div>
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.</div><div>
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. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.</div><div><br>
</div><div>For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.</li><li>
Run large-scale experiments with access to Spotify&rsquo;s extensive infrastructure and an audience of more than 700 million monthly active users.</li><li>
Create practical applications that harness generative technologies, pushing the boundaries of what&rsquo;s possible in listening experiences.</li><li>
Collaborate as part of a cross-functional team&mdash;working closely with scientists, engineers, product managers, designers, user researchers, and analysts&mdash;to craft innovative solutions to complex challenges.</li><li>
Have a direct impact on Spotify&rsquo;s products, tools, and services, working on projects that influence the entire organization.</li><li>
Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.</li><li>
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.</li><li>
You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.</li><li>
You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.</li><li>
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li><li>
You are enthusiastic about learning more about turning research ideas into products operating at scale.</li><li>
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.</li><li>
This team operates within the Eastern Standard time zone for collaboration.</li><li>
Core working hours are CET 3pm-6pm / EST 9am-12pm.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $132,073 - $188,676 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Research Scientist, Music

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York, Boston or United States of America (Home Mix)</div></div><div><div>
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists.</div></div><div><div><div><br>
</div><div>Generative AI is transforming Spotify&rsquo;s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This ML Manager will focus on the serving of a Unified Recommender model, based on open-weight LLM and transformer technology. You will collaborate with a diverse team to establish and implement the machine learning plan for the product domain, developing innovative recommendations and agent interactions. You will work as a technology leader, managing a team and influencing peers. You will collaborate with internal customers and platform teams, offering the opportunity to profoundly build the direction of the entire Spotify experience.</div><div><br>
</div><div>Join us and you&rsquo;ll keep millions of users listening and engaging with our platform every day!</div></div></div></div><div><div><p>
What You&rsquo;ll Do</p><ul><li>
Lead a high-performing engineering team to develop, build, and deploy a high-scale, low-latency LLM Serving Infrastructure.</li><li>
Drive the implementation of a unified serving layer to support multiple LLM models and inference types (batch, offline eval flows and real-time/streaming).</li><li>
Lead all aspects of the development of the Model Registry for deploying, versioning, and running LLMs across production environments.</li><li>
Ensure successful integration with the core Personalization and Recommendation systems to deliver LLM-powered features.</li><li>
Define and champion standardized technical interfaces and protocols for efficient model deployment and scaling.</li><li>
Establish and monitor the serving infrastructure's performance, cost, and reliability, including load balancing, autoscaling, and failure recovery.</li><li>
Collaborate closely with data science, machine learning research, and feature teams (Autoplay, Home, Search, etc.) to drive the active adoption of the serving infrastructure.</li><li>
Scale up the serving architecture to handle hundreds of millions of users and high-volume inference requests for internal domain-specific LLMs.</li><li>
Drive Latency and Cost Optimization: partner with SRE and ML teams to implement techniques like quantization, pruning, and efficient batching to minimize serving latency and cloud compute costs.</li><li>
Develop Observability and Monitoring: build dashboards and alerting for service health, tracing, A/B test traffic, and latency trends to ensure consistency to defined SLAs.</li><li>
Contribute to Core LPM Serving: focus on the technical strategy for deploying and maintaining the core Large Personalization Model (LPM).</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
5+ years of experience in software or machine learning engineering, with 2+ years of experience managing an engineering team.</li><li>
Hands-on with ML Engineering: you have deep expertise in building, scaling, and governing high-quality ML systems and datasets, including defining data schemas, handling data lineage, and implementing data validation pipelines (e.g., HuggingFace datasets library or similar internal systems).</li><li>
Deep technical background in building and operating large-scale, high-velocity Machine Learning/MLOps infrastructure, ideally for personalization, recommendation, or Large Language Models (LLMs).</li><li>
Proven track record to drive complex projects involving multiple partners and federated contribution models (&quot;one source of truth, many contributors&quot;).</li><li>
Expertise in designing robust, loosely coupled systems with clean APIs and clear separation of concerns (e.g., distinguishing between fast dev-time tools and rigorous production-like systems).</li><li>
Experience integrating evaluation and testing into continuous integration/continuous deployment (CI/CD) pipelines to enable rapid 'fork-evaluate-merge' developer workflows.</li><li>
Solid understanding of experiment tracking and results visualization platforms (e.g., MLFlow, custom UIs).</li><li>
A pragmatic leader who can balance the need for speed with progressive rigor and production fidelity.</li></ul></div></div><div><div><p>
Where You&rsquo;ll Be</p><ul><li>
This role is based in New York or Boston.</li><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></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $176,166- $251,666 plus equity. The benefits available for this position 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. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Machine Learning Engineering Manager, LLM Serving & Infrastructure

<div><div><div><div><div><div>Finance</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Spotify is seeking a dedicated and driven Analyst to join its Audiobooks FP&amp;A Team. In this critical role, you will partner with various functions across the business to analyze and project the financial impact of deal terms and royalty payments related to Spotify's audiobooks content.
</div></div><div></div><div><div><br>
<div>Through a combination of quantitative analysis, strategic thinking, and data-driven insights, you will play a key role in supporting decision-making within Spotify&rsquo;s audio content licensing strategy and the company's overall business planning and forecasting processes.</div><div><br>
</div><div>This role offers a unique opportunity to contribute to a rapidly evolving area of Spotify's business, requiring comfort with ambiguity and a growth mindset.</div></div></div></div><div><div><p>
What You'll Do
</p><ul><li>Support global Licensing teams with the negotiation of Spotify&rsquo;s audiobook publishing and distribution deals through financial modeling, scenario analysis, and business insights.</li><li>
Contribute to ad hoc analyses and business case modeling that support Spotify&rsquo;s FP&amp;A, Business and Product teams to help support business planning decisions.</li><li>
Help produce a monthly actuals-to-forecast variance analysis on the impacts from audiobook deals, identifying actionable opportunities and KPI trends.</li><li>
Assist in delivering quarterly forecasts by building detailed royalty projection models for audiobooks across all countries where Spotify is live.</li><li>
Collaborate closely with Spotify&rsquo;s Legal, Accounting, and Finance teams to interpret and implement deal terms, track the financial performance of licensing deals, and assess risks and opportunities.</li><li>
Streamline and optimize current processes, leveraging technology (e.g., AI-Assisted Workflows, Macros, BigQuery connectors) to systematically pull and consolidate data in an efficient way.</li></ul></div></div><div><div><p>
Who You Are
</p><ul><li>2+ years of relevant financial modeling experience in a complex and data-driven business environment.
</li><li>Familiarity with SaaS and/or content licensing business models is a plus.</li><li>
Strong quantitative skills and business acumen, with the ability to drive projects from start to finish; someone who is not afraid of detail and granularity.</li><li>
Experience distilling complexity into articulate narratives and well-synthesized recommendations that cater to diverse audiences, especially those who are not quantitative or technical.</li><li>
Intellectual curiosity, the ability to stay organized, and a proactive approach to learning and execution</li><li>
An entrepreneurial, collaborative, and &ldquo;can-do&rdquo; personality with a track record for nurturing strong cross-functional relationships.</li><li>
Experience with Generative AI agents, SQL, and Business Intelligence tools (Tableau, Looker) are a plus.</li></ul></div></div><div><div><p>
Where You'll Be
</p><ul><li>This role is based in New York, New York</li><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. We ask that you come in 3 times per week.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $67,172-$95,960, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

FP&A Analyst, Audiobooks

<div><div><div><div><div><div>Support &amp; Operations</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
We are seeking an Associate Growth Manager, Audiobooks to join the Audiobooks Growth Strategy team.
</div></div><div></div><div><div><br>
<div>The Audiobooks Growth team is part of the Audiobooks Vertical at Spotify and serves as a central hub for commercial and growth-focused strategic development, working across a series of highly ambitious initiatives to define and develop the future of audiobooks and the business models that support them.
</div><div></div><br>
<div>Ideal candidates should be curious, creative, and analytical problem solvers who understand how to digest complex problems/opportunities, communicate them to others and develop tactical plans to take action off of these.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Develop and ideate on growth and promotional tactics to support Audiobooks format adoption. Strategies and tactics will span audience development, launching growth programs, evaluating distribution surfaces/channels, testing content as an adoption tool and sizing/developing new growth levers
</li><li>Partner with insights to develop data driven narratives to contextualize how we are pacing against growth targets. The role will require both a macro understanding of Audiobooks performance on Spotify and a detailed perspective on promotional surfaces &amp; various growth tactics effectiveness</li><li>
Collaborate cross functionally with wider Spotify teams to operationalize workstreams and execute upon growth levers. Teams span product, content/editorial, marketing, creator, and insights teams</li><li>
Become an expert on the Audiobooks industry - by understanding our competitors, keeping an eye on developments impacting growth, and proactively sharing this knowledge across relevant teams</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have at least 3+ years of experience in a growth or digital marketing role that intersects with product and/or content.
</li><li>You have proven experience helping grow products in the market and experience setting up and evaluating growth tests and campaigns.</li><li>
You&rsquo;re hands-on and comfortable using AI tools to move work forward (whether drafting messages, generating queries, or adjusting images), but ultimately apply strong judgement and an eye for clarity, quality and thoroughness.
</li><li>You have excellent communication skills and are adept at evangelising project goals across a variety of different stakeholders.</li><li>
You are collaborative, curious, and excited to work across a variety of teams and contexts to understand the bigger picture.</li><li>
You have strong personal organization and project management abilities.</li><li>
You&rsquo;re familiar with AI tooling and prompting techniques, and using them to accelerate analysis, improve operational processes, and/or inspire new workflows.
</li><li>You get the job done, even if you don&rsquo;t have direct control of all the resources.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
This role is based in New York</li><li>
We offer you the flexibility to work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $72,386- 103,409 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Associate Growth Manager, Audiobooks

Join Spotify and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.