Creandum Advisor LLP

Overview Sell what you love. For us and millions of users across the globe, that's Spotify. Join the Sales team and you'll build the relationships that help grow our business in existing markets and beyond. We don't just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. We are looking for an exceptional Client Partner to join our Emerging & Scaled team, one of the fastest-growing units within Spotify's Ad Sales organization. This role is perfect for someone who wakes up every morning excited to connect with clients and inspire them with the power of Spotify. You bring curiosity, resilience, and a collaborative mindset, along with a passion for building meaningful client partnerships. Integrity and a healthy work-life balance are non-negotiable. You'll shape how Spotify advertisers reach audiences and elevate their connection to our platform. What You'll Do Client Strategy: Lead consultative selling to inspire clients and demonstrate how Spotify can achieve their business goals. Business Development: Proactively identify and cultivate high-potential customer relationships across diverse verticals to grow a robust sales pipeline. Sales Propositions: Craft and present effective sales propositions, leveraging the latest platform innovations, research, and key insights. Sales Targets: Own and exceed ambitious revenue goals through strategic, entrepreneurial approaches that drive sustainable growth. Strategic Insight & Reporting: Deliver actionable insights and detailed performance reports, analyzing campaigns to recommend improvements. Product Expertise: Stay ahead of Spotify's product innovations, identifying cross-selling opportunities to help clients succeed. Pipeline Development: Skillfully manage multiple complex conversations, prioritizing engagements with efficiency using relevant software tools. Cross-Functional Collaboration: Collaborate with Product, Marketing, and Data teams to create comprehensive strategies and optimize platform effectiveness. Who You Are Knowledgeable: You bring a minimum of 5+ years of experience managing pipelines and driving revenue in a digital advertising tech environment. Experience in audio advertising is a plus. Local Market Knowledge: You have a good understanding of the UK advertising, media, adtech landscape, with relevant experience gained either locally or cross-border (like this role) preferred. Organized & Self-Reliant: You thrive in a fast-paced environment and can manage multiple priorities with confidence Articulate: You are an effective communicator, clearly expressing both your stakeholders' needs and your own. Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. Results Oriented: You thrive on exceeding targets and making a tangible impact. Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise. English language fluency, spoken and written is required. Please apply with a CV in English. Where You'll Be This role is based in London. 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 2-3 times per week. 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'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's in our differences that we will find the power to keep revolutionizing the way the world listens. 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're here to support you in any way we can.

Spotify is seeking an exceptional Client Partner to join its Emerging & Scaled team in London. You will lead consultative selling, develop high-potential relationships, and craft sales propositions that leverage platform innovations to meet client goals. You will collaborate with Product, Marketing, and Data teams, manage multiple complex conversations, and ensure revenue growth while maintaining integrity and work-life balance.

Creandum Advisor LLP is looking for an Android Developer to join their innovative Subscriptions R&D team at Spotify. In this role, you will design and build mobile experiences that engage audiences and evolve Spotify's platform capabilities. The ideal candidate has experience with Kotlin and developing scalable applications, thrives in collaborative environments, and is eager to learn new technologies.

The Subscriptions R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. What You'll Do Design, build, and evolve mobile experiences across some of Spotify's most visible consumer surfaces. Contribute to the architecture and development of reusable mobile foundations, frameworks, and platform capabilities. Support and develop technical initiatives that improve scalability, performance, reliability, and developer experience across the Spotify app. Collaborate closely with engineers, product managers, designers, and platform teams to shape product direction and technical strategy. Participate in code reviews, technical discussions, and drive quality through testing practices, observability, and operational excellence. Participate in experimentation and prototyping efforts tied to future-facing content and listening experiences. Explore modern engineering workflows, including AI-assisted development tools and emerging mobile technologies. Balance short-term product needs with long term platform sustainability and technical health. Learn, grow, and contribute to Spotify's engineering culture through collaboration, knowledge sharing, and curiosity. Who You Are You have experience developing Android applications using Kotlin. You are aware of how to build maintainable, scalable, reusable and well tested software systems. You have experience collaborating with engineers and colleagues across disciplines. You care about code quality, testing, documentation, and long term maintainability. You demonstrate curiosity, ownership, and a willingness to step outside your immediate area of expertise when needed. You are curious about using modern development tooling, including AI assisted coding solutions. You bring a growth mindset and continuously look for opportunities to learn, improve systems, products, and team practices. You might have familiarity with SQL, analytics systems, or data engineering concepts. Where You'll Be 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). This team operates within the Central European and GMT time zone for collaboration. 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'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's in our differences that we will find the power to keep revolutionizing the way the world listens. 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're here to support you in any way we can.

Creandum Advisor LLP is looking for a Client Partner to join Spotify's Emerging & Scaled team in London. This role is ideal for someone eager to connect with clients and drive business growth. You will lead consultative selling, identify new business opportunities, and collaborate with various teams. Applicants should have 5+ years of experience in a digital advertising tech environment, knowledge of the German ad landscape, and be fluent in German and English. The role offers a flexible work model with periodic travel across Nordic markets.

Sell what you love. For us and millions of users across the globe, that's Spotify. Join the Sales team and you'll build the relationships that help grow our business in existing markets and beyond. We don't just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. We are looking for an exceptional Client Partner to join our Emerging & Scaled team, one of the fastest-growing units within Spotify's Ad Sales organization. This role is perfect for someone who wakes up every morning excited to connect with clients and inspire them with the power of Spotify. You bring curiosity, resilience, and a collaborative mindset, along with a passion for building meaningful client partnerships. Integrity and a healthy work-life balance are non-negotiable. You'll shape how Spotify advertisers reach audiences and elevate their connection to our platform. What You'll Do Client Strategy: Lead consultative selling to inspire clients and demonstrate how Spotify can achieve their business goals. Business Development: Proactively identify and cultivate high-potential customer relationships across diverse verticals to grow a robust sales pipeline. Sales Propositions: Craft and present effective sales propositions, leveraging the latest platform innovations, research, and key insights. Sales Targets: Own and exceed ambitious revenue goals through strategic, entrepreneurial approaches that drive sustainable growth. Strategic Insight & Reporting: Deliver actionable insights and detailed performance reports, analyzing campaigns to recommend improvements. Product Expertise: Stay ahead of Spotify's product innovations, identifying cross-selling opportunities to help clients succeed. Pipeline Development: Skillfully manage multiple complex conversations, prioritizing engagements with efficiency using relevant software tools. Cross-Functional Collaboration: Collaborate with Product, Marketing, and Data teams to create comprehensive strategies and optimize platform effectiveness. Who You Are Knowledgeable: You bring a minimum of 5+ years of experience managing pipelines and driving revenue in a digital advertising tech environment. Experience in audio advertising is a plus. Local Market Knowledge: You have a good understanding of the German/DAH advertising, media, adtech landscape, with relevant experience gained either locally or cross-border (like this role) preferred. Organized & Self-Reliant: You thrive in a fast-paced environment and can manage multiple priorities with confidence. Articulate: You are an effective communicator, clearly expressing both your stakeholders' needs and your own. Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. Results Oriented: You thrive on exceeding targets and making a tangible impact. Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise. Fluent German and English language, spoken and written, is required. Please apply with a CV in English. Where You'll Be This role is based in London 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 2-3 times per week. You'll be open to periodic travel across the Nordic markets for client meetings, events, and team collaboration. 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'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's in our differences that we will find the power to keep revolutionizing the way the world listens. 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're here to support you in any way we can.

Sell what you love. For us and millions of users across the globe, that's Spotify. Join the Sales team and you'll build the relationships that help grow our business in existing markets and beyond. We don't just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. We are looking for an exceptional Client Partner to join our Emerging & Scaled team, one of the fastest-growing units within Spotify's Ad Sales organization. This role is perfect for someone who wakes up every morning excited to connect with clients and inspire them with the power of Spotify. You bring curiosity, resilience, and a collaborative mindset, along with a passion for building meaningful client partnerships. Integrity and a healthy work-life balance are non-negotiable. You'll shape how Spotify advertisers reach audiences and elevate their connection to our platform. What You'll Do Client Strategy: Lead consultative selling to inspire clients and demonstrate how Spotify can achieve their business goals. Business Development: Proactively identify and cultivate high-potential customer relationships across diverse verticals to grow a robust sales pipeline. Sales Propositions: Craft and present effective sales propositions, leveraging the latest platform innovations, research, and key insights. Sales Targets: Own and exceed ambitious revenue goals through strategic, entrepreneurial approaches that drive sustainable growth. Strategic Insight & Reporting: Deliver actionable insights and detailed performance reports, analyzing campaigns to recommend improvements. Product Expertise: Stay ahead of Spotify's product innovations, identifying cross-selling opportunities to help clients succeed. Pipeline Development: Skillfully manage multiple complex conversations, prioritizing engagements with efficiency using relevant software tools. Cross-Functional Collaboration: Collaborate with Product, Marketing, and Data teams to create comprehensive strategies and optimize platform effectiveness. Who You Are Knowledgeable: You bring a minimum of 5+ years of experience managing pipelines and driving revenue in a digital advertising tech environment. Experience in audio advertising is a plus. Local Market Knowledge: You have a good understanding of the Nordic advertising, media, adtech landscape, with relevant experience gained either locally or cross-border (like this role) preferred. Organized & Self-Reliant: You thrive in a fast-paced environment and can manage multiple priorities with confidence. Articulate: You are an effective communicator, clearly expressing both your stakeholders' needs and your own. Intrinsically Motivated: You are driven by your own goals and always aim to beat your personal best. Results Oriented: You thrive on exceeding targets and making a tangible impact. Team-Oriented: You believe in collaborative success, eager to learn from your peers and share your expertise. English language fluency, spoken and written is required. Swedish language fluency is strongly preferred. Please apply with a CV in English. Where You'll Be This role is based in London 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 2-3 times per week. You'll be open to periodic travel across the Nordic markets for client meetings, events, and team collaboration. 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'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's in our differences that we will find the power to keep revolutionizing the way the world listens. 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're here to support you in any way we can.

Creandum Advisor LLP is seeking a Client Partner for Spotify's Emerging & Scaled team in London. The ideal candidate has over 5 years of experience in digital advertising, with proven ability to build client relationships and achieve sales targets. You will lead consultative selling to inspire clients while collaborating across teams to optimize sales effectiveness. Fluent English is required, and knowledge of Swedish is a plus. We offer flexibility to work from home with periodic in-person meetings and travel across Nordic markets.

We design Spotify'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. 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. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one. With a strong focus on "safety by default," the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform. What You'll Do Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale Own and lead key technical initiatives across detection, classification, and policy evaluation systems Develop and maintain ML models for content moderation, including multimodal and LLM-based systems Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization Represent technical decisions and trade-offs in stakeholder discussions and influence product direction Who You Are You have solid experience building and deploying machine learning systems in production environments at scale You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains You care about building safe, responsible, and user-centric ML systems You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders You have experience leading technical projects and influencing direction within a team or product area You have experience with distributed systems or backend technologies (e.g., Scala) Where You'll Be This role is based in London or Stockholm 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.

Creandum Advisor LLP is seeking an experienced professional to join their Personalization team. This role involves designing and shipping machine learning models that enhance personalized listening experiences for Spotify users. You'll work within a collaborative team, focusing on the intersection of AI and culture. With a foundation in Python and experience in GCP tools, you'll be responsible for integrating cultural data into innovative listening experiences. The position offers flexibility in work location, with possibilities in London or Stockholm.

Creandum Advisor LLP is seeking a Senior Fullstack Engineer to shape WhoSampled as a standalone product within Spotify's ecosystem. Join a small team to enhance backend services, APIs, and frontend interfaces. The ideal candidate will be adept in Python (Django) and Java, with a robust understanding of Postgres and modern web technologies. This is a unique chance to innovate in music sampling while enjoying the flexibility to work remotely within the EMEA region.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else and by leveraging the latest in Generative AI. Join us and you'll give millions of listeners great music and talk experiences, personalized to each and every one of them. The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. This is a team of about a hundred AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts. You'll join the Zeitgeist squad within the AI Foundation team. We focus on building the systems and models that help Spotify understand culture in real time-what's trending, why it matters, and how it shapes listening. You'll leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences. This is an exciting mix of platform-level content understanding and experience-level user presentation. What You'll Do Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences Own components end-to-end - from data pipelines and model training to production serving and monitoring Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building "0-to-1" experiences looks like in practice Who You Are You have 5+ years of experience building and shipping machine learning models end-to-end You have a strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery) You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases You have built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains You are excited but not overhyped by the potential of Generative AI You're comfortable operating as a 0-to-1 builder - you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence You care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech You have worked effectively in collaborative, cross-functional environments You care deeply about code quality, reliability, and scalability Where You'll Be This role is based in London or Stockholm 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. 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'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's in our differences that we will find the power to keep revolutionizing the way the world listens. 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're here to support you in any way we can.

Creandum Advisor LLP is seeking an experienced engineer to design and build machine learning systems that enhance content safety on Spotify. You will lead technical initiatives and collaborate with cross-functional teams to align on policy needs. This role offers flexibility to work from home, with some in-person meetings required. The ideal candidate has strong experience in production environments and is comfortable working with modern frameworks like PyTorch. You will drive projects that proactively protect users and ensure safe interactions on the platform.

Every great song has a story behind it: a sample flipped into something new, a melody borrowed and reborn, a classic reinterpreted for a new generation. WhoSampled is where those stories live. WhoSampled is the world's leading database of music samples, interpolations, cover songs, and remixes. Built over more than a decade by a passionate community of over 40,000 contributors, and verified by a dedicated team of moderators, it's become the definitive archive of music's creative lineage - visited by millions of fans each year. In late 2025, WhoSampled joined Spotify, powering SongDNA: a new experience that lets listeners explore the samples, covers, and interpolations woven into the music they love. We're a small team with an outsized impact, and we're growing. As a Senior Fullstack Engineer, you'll be one of the first engineering hires into this team - a genuine opportunity to shape how WhoSampled evolves as a standalone product and as a foundational layer within Spotify's ecosystem. As a small team, our work spans across the stack: you'll work as much on data pipelines and backend APIs as you will on our web app. The ideal candidate is a generalist at heart - someone who's equally at home writing a Django view, tuning a PostgreSQL query, or shipping a UI improvement, and someone who gets results without waiting for someone else to own adjacent layers. What You'll Do Build and maintain across the stack: Contribute to backend services, APIs, data pipelines, and where needed, frontend interfaces, embracing Spotify's infrastructure patterns and continuing making WhoSampled the industry-leader in showcasing the story behind the music. Improve metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered disambiguation. Better matching means more of WhoSampled's archive surfaces meaningfully within Spotify. Drive infrastructure modernisation: Lead meaningful infrastructure work that brings WhoSampled onto more robust, scalable foundations, working closely with Spotify's platform and security stakeholders. Take end-to-end ownership: Design, build, ship, and operate. You're accountable for the reliability and performance of the systems you own, and proactive about improving them. Be AI-forward: Bring AI tooling into your engineering practice; whether for data quality, matching, operational automation, or developer productivity. Who You Are Strong experience building production software, with depth in at least two of: backend services, frontend web, data systems, or infrastructure - and enough exposure to the others to move between them without stalling. You are comfortable moving between languages and stacks. You're strong in Python (ideally with Django experience) and Java. Our Django codebase is where the current product lives, and new services may go out in Java. You have production experience with Postgres - schema design, query tuning, and knowing when to reach for something else. Familiarity with ElasticSearch is a plus; you'll be tuning clusters with us, not from scratch. You have modern web app experience with TypeScript and React. You've shipped user-facing features, not just prototypes. You are comfortable with the production stack: Linux, GCP (or equivalent cloud), networking fundamentals, and a real sense of what it takes to keep a system reliable under load. You thrive with ambiguity and ownership. You move forward without perfect specs, make well-reasoned calls with limited oversight, and know when to stop and ask. You are practical about AI. You already use it to automate toil, improve data quality, and ship faster - and you have opinions about where it helps and where it doesn't. You care about craft. Clean, testable code; documentation the next person can actually use; systems you'd be happy to hand off. Where You'll Be 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. This team operates within the Central European and GMT time zone for collaboration. 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'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's in our differences that we will find the power to keep revolutionizing the way the world listens. 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're here to support you in any way we can.

Creandum Advisor LLP is looking for a Senior Staff Machine Learning Engineer to build and scale ML systems that ensure safety, policy enforcement, and compliance across Spotify's content. This role involves defining machine learning strategies, developing automated decisioning systems, and collaborating across teams to maintain high standards of content quality. The ideal candidate should have strong experience with production-grade ML systems and modern frameworks like PyTorch and TensorFlow. The position offers flexibility to work from home while requiring occasional in-person meetings.

Creandum Advisor LLP is seeking a Senior Staff Machine Learning Engineer to shape the architecture and strategy for machine learning systems. This role focuses on content understanding and ensures safe, high-quality experiences for listeners and creators. You will build, scale, and deploy ML systems across text, audio, image, and video, collaborating with various teams to uphold content standards while enabling automated decision-making. The position offers flexibility with the option to work from London or Stockholm, with potential in-person meetings.

We design Spotify'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. 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. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow, driven by advances in AI and new creation tools-we're investing in systems that ensure content remains safe, compliant, and high quality. We're seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you'll shape how automated systems evaluate and act on content-ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop automated decisioning systems that ensure consistent, reliable enforcement of policies Design systems that support real time and large scale content evaluation Collaborate with product, policy, and trust & safety teams to operationalize content standards Improve automation to reduce manual intervention, maintaining high quality and safety standards Drive best practices in evaluation, fairness, and system reliability Mentor engineers and contribute to technical direction across teams Who You Are You have strong experience building production grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar You have worked on systems where ML outputs influence real world decisions You understand how to design systems that balance automation with safety and user experience You are comfortable working on complex, ambiguous problems with high impact You think in systems and understand how models connect to platform level outcomes You care about data quality, evaluation rigor, and system reliability You communicate clearly and influence across technical and non technical teams Where You Will Be This role is based in London or Stockholm 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 design Spotify'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. 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. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow-driven by advances in AI and new creation tools-we're building intelligent systems that can evaluate, manage, and route content reliably at global scale. We're seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you'll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design and deploy models across text, audio, image, and video domains Build systems that enable controlled, reliable access to content and metadata for downstream applications Collaborate with product, policy, trust & safety teams to operationalize content standards across platform Improve automation to reduce manual intervention while maintaining high standards of trust and quality Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design Who You Are You have strong experience building production-grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You have worked with or are interested in multimodal machine learning You understand how to design systems that balance automation with quality, safety, and user experience You are comfortable working on complex, ambiguous problems with high impact You think in systems, connecting models to platform-level outcomes and user experiences You care deeply about data quality, evaluation rigor, and system reliability You communicate clearly and influence across technical and non-technical teams Where You Will Be This role is based in London or Stockholm 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.

The Experience team designs Spotify'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. 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. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high-volume multimedia or real-time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies. You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm 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.

Creandum Advisor LLP is seeking a Staff Engineer to scale foundational infrastructure powering content understanding across Spotify. You will lead the design of backend systems and ML infrastructure, ensuring robust processing of multimodal content. The role requires strong programming skills in Java, Python, and/or Scala, along with extensive experience in building large-scale systems. You will collaborate with cross-functional teams to drive technical strategy and mentor fellow engineers.