Jobs at Spotify

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.

In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

What You'll Do

• Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
• Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
• Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
• Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
• Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
• Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
• Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode

Who You Are

• You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
• You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
• You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
• You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
• You are comfortable working in a highly technical environment and collaborating closely with engineering partners
• You communicate complex statistical concepts clearly to both technical and non-technical audiences
• You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
• You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.

Originally posted on Himalayas

What You'll Do

• Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners.
• Develop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content.
• Explore emerging AI and agentic approaches to create more intuitive and conversational Search experiences.
• Design, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production.
• Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search.
• Use experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience.
• Contribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.
• Share knowledge, challenge assumptions constructively, and help shape the technical direction of machine learning within the squad.

Who You Are

You have experience building, deploying, and improving machine learning systems in production environments.
You have a strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.
You are proficient in Python and comfortable working with modern machine learning frameworks and data processing tools.
You have experience and a desire to lean into backend engineering at Spotify scale.
You understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.
You have experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems.
You are curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences.
You enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives.
You are comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery.

Where You'll Be

This role is based in Eastern Standard Time
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.

Originally posted on Himalayas

What You'll Do

Conduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas:
Vocal Synthesis — Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing.
Post-Training — Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence.
Editing — Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes.
You will also:
Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.
Create practical applications that harness generative technologies and push the boundaries of what's possible in listening experiences.
Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.
Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization.
Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.

Who You Are

You have a Ph.D. in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
You have deep expertise in at least one of the focus areas above—whether that's vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing.
You have publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.
You have strong coding skills in Python, PyTorch, and NumPy.
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
You are enthusiastic about turning research ideas into products operating at scale.
You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
Core working hours are CET 3pm-6pm / EST 9am-12pm.

Originally posted on Himalayas

The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The organization is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

Our team makes music videos easy for fans to discover and meaningful for artists, powered by scalable, intelligent infrastructure that grows with our catalog. We're building personalized music video playlists, sorting videos into meaningful categories, and learning which videos listeners are most likely to love, then helping that content reach the right people.

As a Backend Engineer, you'll help shape how millions of listeners experience music videos on Spotify, working alongside Data Engineers, Backend Engineers, and partners across product and design.

What You'll Do

• Build and run production backend systems that improve how listeners discover and enjoy music videos.

• Design, develop, and evolve scalable backend services and APIs that support high-traffic parts of the Spotify app.

• Develop and maintain Java services and Scio data pipelines used by millions of listeners every day.

• Partner with product managers and engineers to solve complex problems and create smooth, enjoyable experiences for listeners.

• Contribute to system design, code quality, and reliable, well-run systems as part of an autonomous, cross-functional squad.

• Explore and experiment with AI tools available at Spotify to improve how we build and ship.

Who You Are

• You have experience with Java or another JVM language, and familiarity with (or interest in learning) data pipeline tools like Scio, Apache Beam, or similar.

• You've built and operated distributed, high-volume services in production, ideally on a cloud platform such as Google Cloud Platform.

• You're comfortable with system design, data structures, and algorithms, and use data to inform how you design systems and make decisions.

• You work directly with partners to understand their needs and turn them into scalable backend systems, APIs, and pipelines.

• You enjoy working in teams where experimentation and iteration are part of everyday work.

• You care about code quality, reliability, and maintainability, and take pride in shipping well-crafted work.

• You bring a collaborative mindset and are comfortable working across team boundaries. Experience in data engineering or machine learning is a bonus, not a requirement.

Where You'll Be

• 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.
• This team operates within the US Eastern timezone for collaboration

Compensation

Additional Information

The United States base range for this position is $151,942–$189,927 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

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.

What You'll Do

• You'll build and improve the core agentic capabilities that power the agent behind Talk to Spotify (memory, context management, multi-step tool use)
• You'll design and calibrate evaluation frameworks (including LLM-as-judge) that accelerate our confidence in the agent's behavior, and increase our offline-to-online success
• You'll work in a very dynamic space: the team prototypes, dogfoods, ships, learns, and refines in tight loops with real users, as our understanding of the problem and users' expectations of agentic products and Spotify evolve

Who You Are

• You're excited by agentic experiences — building agents, evaluating agents, and the hard problems in between (context handling, multi-step reasoning, ambiguity at scale)
• You like getting your hands dirty: shipping quickly, testing ideas against real usage, and learning from the wild rather than over-indexing on offline evaluation
• You have 5+ years of production ML experience deploying highly impactful products, or equivalent experience in other roles with a deep ML background
• You know how to evaluate ML systems rigorously — designing metrics, building eval pipelines, judge alignment, and can develop intuition through dogfooding and looking at user behavior
• You're comfortable debugging the messy interactions between models, tools, and system constraints like latency

Where You'll Be

This role is based in New York
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 United States base range for this position is $184,050- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Originally posted on Himalayas

The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

The Music team shapes how artists and their music show up on Spotify. Our work spans Spotify for Artists, content upload, artist identity and visual expression, promotion and discovery, and insights that help artists and their teams understand and grow their audiences.

As Head of Artist & Label Product, you’ll lead the product organization responsible for these experiences, bringing together our artist and label products into a clear, connected strategy. You’ll lead PM managers and senior PMs, set direction across multiple product areas, and turn that strategy into meaningful outcomes for artists, labels, listeners, and Spotify. You’ll report to the VP of Product, Design and Insights for the Music Vertical and be a key member of the extended Music leadership team.

What You'll Do

• Set the strategy and direction for Spotify’s artist and label products, connecting artist tools, promotion, discovery, expression, and insights into a coherent product experience.
• Own business and product outcomes across the portfolio, translating long-term strategy into clear priorities and near-term goals.
• Lead, coach, and develop PM managers and senior PMs, creating an environment where people can do their best work and continue strengthening their product craft.
• Advance how the product organization uses AI to improve the way we build, learn, make decisions, and deliver value.
• Make thoughtful prioritization and resource decisions across product areas, navigating trade-offs and keeping teams focused on the outcomes that matter most.
• Partner closely with Design, Engineering, Product Insights, Content, and Business leaders to build high-quality products at Spotify’s scale.
• Represent the needs of artists and labels in key product and business decisions, helping teams balance creator, listener, and Spotify priorities.
• Navigate a complex music ecosystem, including relationships with labels and distributors, legal and licensing considerations, and dependencies across Spotify.

Who You Are

• You bring 12+ years of product management experience, including 5+ years leading product managers and product management leaders.
• You have led complex product portfolios and can turn broad opportunities into clear strategies, priorities, and measurable outcomes.
• You have experience building products for multi-sided platforms and understand how to create value for different groups with distinct needs.
• You understand the commercial side of product development and are comfortable working across revenue, engagement, and user-experience goals.
• You have experience creating new products and scaling established products to serve large audiences.
• You can move comfortably between long-term strategy and detailed product decisions, communicating effectively with senior leaders while staying close to teams and customers.
• You build trusted cross-functional relationships and have delivered complex products across teams, disciplines, and organizational boundaries.
• You communicate complex ideas clearly and create frameworks that help teams make informed decisions and move forward.

Where You'll Be

• This role is based in New York
• 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.

Compensation

Additional Information

The United States base range for this position is $229,874–$328,392 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.

In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

What You'll Do

• Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
• Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
• Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
• Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
• Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
• Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
• Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode

Who You Are

• You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
• You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
• You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
• You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
• You are comfortable working in a highly technical environment and collaborating closely with engineering partners
• You communicate complex statistical concepts clearly to both technical and non-technical audiences
• You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
• You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration.

Compensation

Additional Information

The United States base range for this position is $116,994 - $167,135 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

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.

The Music Mission enables Music creators to grow, engage & monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artist and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos and Clips enable artists and their teams to grow, monetize and connect with their audience. We're looking for a Data Scientist to join Discovery Mode, part of the Music Mission. Discovery Mode helps artists and music marketers reach new listeners when it matters most. Artists and labels flag priority songs, and our system feeds that signal into the algorithms behind personalized playlists.

In this role, you'll partner with product, engineering, and user research to build the technology that powers Discovery Mode. Your focus will be customer engagement and reporting — understanding what customers need, building instrumentation and dashboards for our self-serve product, and running experiments that improve the experience and drive business impact. As part of the Product Insights team, you'll help define the next generation of promotion products for the music industry.

What You’ll Do

• Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
• Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
• Define metrics and build the dashboards we use to measure the health and success of our products.
• Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
• Contribute to a community of data scientists by evolving best practices and learning new skills.
• Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.

Who You Are

• Demonstrated ability in a similar Data Science role.
• Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
• You have experience with product analytics, including crafting success metrics, performing exploratory analysis and presenting findings with clear product recommendations or implications.
• You have experience as a Data Scientist using experimentation to drive product development.
• You have hands-on experience synthesizing insights from data using tools such as Python, DBT, BigQuery, SQL, Tableau.
• Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
• You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence product or feature decisions.
• Bonus if you have experience with advertising.

Where You’ll Be

• This role is based in our New York office.
• This team operates within the Eastern Standard time zone for collaboration.

Compensation

Additional Information

The United States base range for this position is $ 94,584 - $ 135,121 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

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.