Applying for Machine Learning Engineering Manager II at Spotify? Compare this live job with your resume first.

🎯 Tailor my resume
←Jobiba.Me
S
Active1d ago

Machine Learning Engineering Manager II

Spotify·📍 New York, United States

Employment

FULL TIME

Work mode

Remote

Experience

Not stated

Salary

$214,000–$295,000 / year · Jobiba est.

Market pay estimate

$214,000–$295,000 / year for comparable Engineering Manager roles in New York. Estimated from 80 similar postings (high confidence) — not stated by the employer.

Salary →

Role overview

Job description

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.
  • 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.

    More like this

    About this listing

    • Source: Spotify's official careers site · still listed there on 11 Nov 2026
    • Posted 9 Nov 2026

    Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.

    Role market pulse

    How Engineering Manager demand looks in United States

    75/100 · rising

    Live jobs

    739

    Posted 30d

    579

    30d movement

    +479%

    Remote share

    32.2%

    Salary listed

    84.3%

    Salary trend 1Y

    Not enough history

    What they are looking for

    Skills & requirements

    Department · Engineering

    Hiring company

    Spotify

    Technology

    Spotify is a digital music service that gives you access to millions of songs, podcasts, and audiobooks. Listen to your favorites online now.

    Related opportunities

    Similar active roles

    Relevant, currently active roles for this market.

    All jobs →
    MG
    New York, United States· Full-time· Hybrid
    Typical range pay

    $219K – $263K/yr

    ● Strong current hiring demand for this role

    Z
    New York, United States
    Typical range pay

    $200K – $265K/yr

    ● Strong current hiring demand for this role

    DS
    New York, United States· Full-time
    Above median pay

    $200K – $300K/yr

    ● Strong current hiring demand for this role

    🔔 Get job alerts

    New Machine Learning Engineering Manager jobs in New York, United States, straight to your inbox.

    No spam · Unsubscribe anytime

    Jobiba never asks job seekers for money. Stay safe