ML Engineering Manager — Personalization Systems Lead

Spotify

Stockholms kommun

Hybrid

SEK 1,200,000 - 1,900,000

Full time

15 hours ago
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Job summary

Spotify is seeking an Engineering Manager to lead the Samba team within the Personalization organization. You will develop engineers and shape the technical direction of systems that influence how millions experience Spotify.

You will grow a team of ML, backend, and data engineers, guiding their growth and ensuring impactful delivery. This role is based in Stockholm or London with hybrid work flexibility.

Qualifications

  • Experience leading engineering teams and delivering impactful results.
  • Strong background in machine learning, software engineering, or related areas.
  • Experience developing and operating machine learning systems in production.

Responsibilities

  • Lead and grow a team of ML, backend, and data engineers, guiding their development and delivery.
  • Guide the development of ML and recommendation systems balancing multiple objectives.
  • Collaborate with Product and engineering partners to define priorities and translate challenges into plans.
  • Support the team in decisions on experimentation, scalability, reliability, and model performance.
  • Create a culture of ownership, collaboration, and continuous improvement for engineers.
  • Drive effective planning and delivery, balancing immediate priorities with long-term health.
  • Foster an inclusive, supportive environment with coaching and thoughtful leadership.

Skills

Leadership
ML systems
Cross-functional collaboration
Ambiguity leadership
Inclusive leadership
Communication

Job description

Spotify is seeking an Engineering Manager to lead the Samba team within the Personalization organization. You will develop engineers and shape the technical direction of systems that influence how millions experience Spotify.

You will grow a team of ML, backend, and data engineers, guiding their growth and ensuring impactful delivery. This role is based in Stockholm or London with hybrid work flexibility.

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