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Engineering Manager – Messaging Platform & Tooling

Lead engineering team building Spotify's messaging Selection platform, evolving it from rules-based to ML-driven decision engine. Partner with Product, Data Science, and ML teams to deliver scalable systems impacting user engagement for 700M+ users. Requires 3+ years managing engineers and experience with complex systems.

New York, NYEngineering ManagementHybrid

About the role

What You'll Do

  • Lead and support the Selection engineering team, focusing on growth, performance, and creating an environment where engineers can do their best work
  • Partner with Product, Data Science, and ML Engineering to define and deliver the technical roadmap for Selection
  • Guide the evolution of Selection from a rules-based system to a more advanced, signal-driven and ML-informed decision engine
  • Deliver platform capabilities that directly impact user engagement, retention, and conversion across Spotify
  • Collaborate across squads and domains to ensure seamless integration and alignment across the Subscriptions mission
  • Represent Selection in planning, strategy discussions, and initiative scoping tied to high-impact business goals
  • Balance speed, scalability, and reliability while navigating complex platform trade-offs that affect millions of users
  • Contribute to the broader engineering culture through hiring, architecture discussions, and cross-team collaboration

Who You Are

  • 3+ years of experience managing software engineers and have supported teams through growth and delivery
  • Strong sense of ownership and think beyond execution to understand impact, trade-offs, and long-term direction
  • Experience working with complex systems such as distributed systems, real-time pipelines, or platform infrastructure
  • Care deeply about people and create an environment built on trust, clarity, and continuous development
  • Communicate clearly and effectively with engineers, cross-functional partners, and senior stakeholders
  • Comfortable engaging in technical discussions and asking thoughtful, probing questions
  • Approach ambiguity with curiosity and are energized by building in evolving and high-impact environments
  • Value collaboration and contribute to an inclusive, supportive team culture

Skills

Distributed SystemsReal-Time PipelinesPlatform InfrastructureMachine LearningData ScienceSoftware Engineering Management

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