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.
24/05/2026
Full time
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 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.
24/05/2026
Full time
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.
24/05/2026
Full time
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.
24/05/2026
Full time
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.
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.
24/05/2026
Full time
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.
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.
24/05/2026
Full time
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.
Spotify's Audiobooks Mission is transforming how creators and listeners experience long form storytelling. We're building the foundation that enables audiobook content to flow seamlessly from publishers to listeners - including the systems that power ingestion, processing, and delivery across a rapidly growing global catalog. We're looking for a Senior Backend Engineer to join a small, high impact team within the Audiobooks Pipeline area. This team is responsible for building and scaling systems that ingest, process, and transform audiobook and eBook content, metadata, and royalties - ensuring the right content reaches listeners efficiently and with the highest quality. While this role is full stack in scope, the majority of work will lean toward backend and data focused development. We're looking for someone who thrives in ambiguity, loves to learn, and is eager to stretch beyond their comfort zone to solve challenging problems across the stack. What You'll Do Design and build systems that power audiobook ingestion, transformation, and delivery - ensuring performance, accuracy, and scalability across millions of titles. Contribute across the stack, from backend services and APIs to lightweight interfaces or operational tools, depending on the team's evolving needs. Collaborate with engineers, PMs, and designers to translate sophisticated workflows into elegant, maintainable, and reliable systems. Be responsible for your impact - take operational responsibility for the services you build and drive continuous improvement in reliability and performance. Adapt and T shape: Step into areas beyond your comfort zone (e.g., data pipelines, internal tooling, or deployment infrastructure) as the mission evolves. Author and review RFCs, sharing your insights and shaping technical decisions that affect the broader Audiobooks ecosystem. Embrace the Audiobooks Mission expectations: operate with "short toes," take ownership beyond team boundaries, and value pragmatic, reversible decisions. Mentor and collaborate with peers, sharing knowledge and contributing to an inclusive, psychologically safe engineering culture. Who You Are You have 5+ years of software engineering experience, ideally across backend systems and distributed architectures. You're highly proficient in Spotify's backend tech stack (Java/gRPC/GCP). You have some data experience and a willingness to work across the stack when needed - not because you have to, but because you're curious. You care about clean, maintainable, and testable code and take ownership of quality and operational excellence. You thrive in ambiguous, fast paced environments, enjoy context-switching, and value quick, pragmatic decision making. You demonstrate data proficiency, curiosity about the business domain, and a desire to understand the broader audiobook ecosystem. You're collaborative, humble, and growth minded - adopting Spotify's playful culture and Audiobooks Mission ethos of experimentation, ownership, and continuous learning. 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.
23/05/2026
Full time
Spotify's Audiobooks Mission is transforming how creators and listeners experience long form storytelling. We're building the foundation that enables audiobook content to flow seamlessly from publishers to listeners - including the systems that power ingestion, processing, and delivery across a rapidly growing global catalog. We're looking for a Senior Backend Engineer to join a small, high impact team within the Audiobooks Pipeline area. This team is responsible for building and scaling systems that ingest, process, and transform audiobook and eBook content, metadata, and royalties - ensuring the right content reaches listeners efficiently and with the highest quality. While this role is full stack in scope, the majority of work will lean toward backend and data focused development. We're looking for someone who thrives in ambiguity, loves to learn, and is eager to stretch beyond their comfort zone to solve challenging problems across the stack. What You'll Do Design and build systems that power audiobook ingestion, transformation, and delivery - ensuring performance, accuracy, and scalability across millions of titles. Contribute across the stack, from backend services and APIs to lightweight interfaces or operational tools, depending on the team's evolving needs. Collaborate with engineers, PMs, and designers to translate sophisticated workflows into elegant, maintainable, and reliable systems. Be responsible for your impact - take operational responsibility for the services you build and drive continuous improvement in reliability and performance. Adapt and T shape: Step into areas beyond your comfort zone (e.g., data pipelines, internal tooling, or deployment infrastructure) as the mission evolves. Author and review RFCs, sharing your insights and shaping technical decisions that affect the broader Audiobooks ecosystem. Embrace the Audiobooks Mission expectations: operate with "short toes," take ownership beyond team boundaries, and value pragmatic, reversible decisions. Mentor and collaborate with peers, sharing knowledge and contributing to an inclusive, psychologically safe engineering culture. Who You Are You have 5+ years of software engineering experience, ideally across backend systems and distributed architectures. You're highly proficient in Spotify's backend tech stack (Java/gRPC/GCP). You have some data experience and a willingness to work across the stack when needed - not because you have to, but because you're curious. You care about clean, maintainable, and testable code and take ownership of quality and operational excellence. You thrive in ambiguous, fast paced environments, enjoy context-switching, and value quick, pragmatic decision making. You demonstrate data proficiency, curiosity about the business domain, and a desire to understand the broader audiobook ecosystem. You're collaborative, humble, and growth minded - adopting Spotify's playful culture and Audiobooks Mission ethos of experimentation, ownership, and continuous learning. 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 a Senior Backend Engineer to join the Audiobooks Pipeline team in London. This role emphasizes building and scaling systems that ensure efficient audiobook content delivery. Candidates should have over 5 years of software engineering experience, particularly in backend systems and be proficient in Java, gRPC, and GCP. The company offers flexible work arrangements, fostering a collaborative, inclusive culture that values innovation and personal growth. Join us as we transform the audiobook experience!
22/05/2026
Full time
Creandum Advisor LLP is seeking a Senior Backend Engineer to join the Audiobooks Pipeline team in London. This role emphasizes building and scaling systems that ensure efficient audiobook content delivery. Candidates should have over 5 years of software engineering experience, particularly in backend systems and be proficient in Java, gRPC, and GCP. The company offers flexible work arrangements, fostering a collaborative, inclusive culture that values innovation and personal growth. Join us as we transform the audiobook experience!
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.
22/05/2026
Full time
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.
22/05/2026
Full time
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.
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.
22/05/2026
Full time
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.
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.
21/05/2026
Full time
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.
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 outstanding Client Partner to join our UK Enterprise Sales Team! This Client Partner will be an individual contributor responsible for the growth of key accounts. Our new Client Partner is someone with a true love for Spotify and a drive to produce creative and innovative solutions for our key clients and partners. You're confident while staying humble, work hard, and know how to have fun. Above all, your work will impact the way the world experiences music and podcasts on Spotify. What You'll Do Sell audio advertising, display formats, video formats, and other ad solutions to grow advertising revenue across agencies and direct clients, including programmatic Provide strategic solutions, anticipate client needs, and influence vertical or sub-vertical strategies Manage a portfolio of enterprise-level advertisers with high complexity Work across multiple agency departments including strategy, comms planning, radio, digital, programmatic, branded content, and innovation teams to deliver successful campaign Partner with communications planning teams, strategic planners, account directors, and buyers to build successful ad campaigns Educate and inspire clients to use Spotify to enhance their business and connect with audiences in meaningful ways Represent Spotify at industry events and serve as a brand ambassador Manage sales activity and pipeline reporting using Salesforce Who You Are You have 5+ years of experience in a media agency or online sales role You have knowledge of online and offline media and know how to build creative audio and digital solutions for clients You communicate clearly and confidently with mid-to-senior level stakeholders You have a track record of meeting or exceeding sales goals, including renewals, upselling, and account growth You are experienced creating reports and presentations using Excel, PowerPoint, Keynote, and similar tools You have a deep understanding of the digital advertising ecosystem You adapt well to change, collaborate effectively across teams, and bring a positive attitude to your work You thrive in a fast-paced environment and enjoy delivering creative, fresh campaigns with internal and external partners 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 into the London office 2-3 times per week. Equal Opportunity & Accommodations 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.
21/05/2026
Full time
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 outstanding Client Partner to join our UK Enterprise Sales Team! This Client Partner will be an individual contributor responsible for the growth of key accounts. Our new Client Partner is someone with a true love for Spotify and a drive to produce creative and innovative solutions for our key clients and partners. You're confident while staying humble, work hard, and know how to have fun. Above all, your work will impact the way the world experiences music and podcasts on Spotify. What You'll Do Sell audio advertising, display formats, video formats, and other ad solutions to grow advertising revenue across agencies and direct clients, including programmatic Provide strategic solutions, anticipate client needs, and influence vertical or sub-vertical strategies Manage a portfolio of enterprise-level advertisers with high complexity Work across multiple agency departments including strategy, comms planning, radio, digital, programmatic, branded content, and innovation teams to deliver successful campaign Partner with communications planning teams, strategic planners, account directors, and buyers to build successful ad campaigns Educate and inspire clients to use Spotify to enhance their business and connect with audiences in meaningful ways Represent Spotify at industry events and serve as a brand ambassador Manage sales activity and pipeline reporting using Salesforce Who You Are You have 5+ years of experience in a media agency or online sales role You have knowledge of online and offline media and know how to build creative audio and digital solutions for clients You communicate clearly and confidently with mid-to-senior level stakeholders You have a track record of meeting or exceeding sales goals, including renewals, upselling, and account growth You are experienced creating reports and presentations using Excel, PowerPoint, Keynote, and similar tools You have a deep understanding of the digital advertising ecosystem You adapt well to change, collaborate effectively across teams, and bring a positive attitude to your work You thrive in a fast-paced environment and enjoy delivering creative, fresh campaigns with internal and external partners 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 into the London office 2-3 times per week. Equal Opportunity & Accommodations 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 the UK Enterprise Sales Team. This role involves selling a range of advertising solutions and managing enterprise-level accounts. The ideal candidate will have over 5 years of experience in online sales or media agency roles, a strong understanding of the digital advertising ecosystem, and the ability to build creative solutions for clients. The position offers a hybrid work arrangement, requiring in-office presence in London 2-3 times per week.
21/05/2026
Full time
Creandum Advisor LLP is looking for a Client Partner to join the UK Enterprise Sales Team. This role involves selling a range of advertising solutions and managing enterprise-level accounts. The ideal candidate will have over 5 years of experience in online sales or media agency roles, a strong understanding of the digital advertising ecosystem, and the ability to build creative solutions for clients. The position offers a hybrid work arrangement, requiring in-office presence in London 2-3 times per week.
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.
21/05/2026
Full time
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.