Machine Learning Engineering Manager - Personalization
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From DJ to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else and by leveraging the latest in Generative AI. Join us and you’ll keep millions of users listening by giving great music and talk experiences to each and every one of them. We prefer that our team members be physically located in Eastern Standard/Daylight time zones for the purpose of our collaboration hours.
Personalization is looking for an ML Engineering Manager to help shape the future of how we give users more control of their experience, leveraging large language models (LLMs) and agentic workflows. This is an exciting mix of platform-level user understanding and experience level user presentation.
What You'll Do
You will be accountable for the health of team of ML, Backend and Data Engineers, serving them through hiring, coaching, mentoring, and hands-on career development
You will be accountable for team delivery, helping set goals that integrate both ambition and sustainability and proposing tradeoffs to optimize value delivered
You will be accountable for the team’s technical strategy and architecture, working with the engineers in developing it. Similarly, you will be accountable for the health of the team’s systems.
You will work with a product manager to ensure that the team is delivering products of value.
You may give leadership to other efforts that fit your passion and Spotify’s needs in collaboration with other managers and engineers.
Who You Are
You thrive when developing great people and phenomenal, meaningful products
You have experience in cultivating a strong engineering culture in an agile environment
You have previous experience developing production-scale, data-driven AI systems. Platform-level experience would be nice, too.
You have experience in people management, with the humility to realize where you’re still growing
You are excited but not overhyped by the potential of Generative AI
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $176,166- $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
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 transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
About the job
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Machine Learning Engineering Manager - Personalization
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From DJ to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else and by leveraging the latest in Generative AI. Join us and you’ll keep millions of users listening by giving great music and talk experiences to each and every one of them. We prefer that our team members be physically located in Eastern Standard/Daylight time zones for the purpose of our collaboration hours.
Personalization is looking for an ML Engineering Manager to help shape the future of how we give users more control of their experience, leveraging large language models (LLMs) and agentic workflows. This is an exciting mix of platform-level user understanding and experience level user presentation.
What You'll Do
You will be accountable for the health of team of ML, Backend and Data Engineers, serving them through hiring, coaching, mentoring, and hands-on career development
You will be accountable for team delivery, helping set goals that integrate both ambition and sustainability and proposing tradeoffs to optimize value delivered
You will be accountable for the team’s technical strategy and architecture, working with the engineers in developing it. Similarly, you will be accountable for the health of the team’s systems.
You will work with a product manager to ensure that the team is delivering products of value.
You may give leadership to other efforts that fit your passion and Spotify’s needs in collaboration with other managers and engineers.
Who You Are
You thrive when developing great people and phenomenal, meaningful products
You have experience in cultivating a strong engineering culture in an agile environment
You have previous experience developing production-scale, data-driven AI systems. Platform-level experience would be nice, too.
You have experience in people management, with the humility to realize where you’re still growing
You are excited but not overhyped by the potential of Generative AI
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $176,166- $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
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 transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.