spotify

Machine Learning Engineering Manager II

Listed by employer · Checked

Posting date unknown

  • remote
  • Permanent
  • Engineering
  • New York, NY
  • Boston, MA
Work arrangement
remote
Employment
Permanent
Stated compensation
Not specified
Stated sponsorship
Not stated
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: leverChecked Original posting ↗

Requirements

2 with evidence7 unclear or unstated
Remote policy
remote
“Provider workplace type: remote”
From employer posting metadata
Geographic scope
Not specified
“For this role, you can be within the North Americas region as long as we have a work location.”
See matched passage in original description ↓
Timezone / hours
This team operates within the Eastern Standard time zone for collaboration.
“This team operates within the Eastern Standard time zone for collaboration.”
See matched passage in original description ↓
Employment type
Permanent
7 fields not stated in this posting
Employer sponsorship
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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 and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business. The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.
Read full descriptionShow less description
We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify. What You'll Do Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.Shape the team's technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify's broader business goals. Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences. Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans. Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance. Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn. Drive effective planning and delivery while balancing immediate priorities with long-term technical health. Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership. Who You Are You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results. You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations. You understand the opportunities and challenges of developing and operating machine learning systems in production. You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals. You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions. You care about building inclusive, collaborative environments where people feel supported and empowered. You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs 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. The United States base range for this position is $227,495- $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. 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.
Original formatting and links

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 and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business.
The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.


We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify.

What You'll Do

  • Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.Shape the team's technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify's broader business goals.
  • Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences.
  • Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans.
  • Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance.
  • Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn.
  • Drive effective planning and delivery while balancing immediate priorities with long-term technical health.
  • Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership.
  • Who You Are

  • You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results.
  • You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations.
  • You understand the opportunities and challenges of developing and operating machine learning systems in production.
  • You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals.
  • You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions.
  • You care about building inclusive, collaborative environments where people feel supported and empowered.
  • You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs
  • 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.
  • The United States base range for this position is $227,495- $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.
    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.  

    Matched by role category. Review each posting’s requirements before applying.

    THE JOB ELIGIBILITY CHECKER

    Check a job