Spotify is hiring a

Data / Backend Engineering Manager, Personalization & Music Recommendation

New York, United States
Full-Time

We are looking for a Data / Backend Engineering Manager (Chapter Lead) to join the User Engagement mission in New York. Our organization strives to make every user session amazing through personalization and discovery. In this role, you’ll work primarily with our squads based in New York who are focused on recommendations and personalized features (e.g. Discover Weekly, Release Radar and Home), notifications and programming analytics.

Your primary responsibility will be to the people on your team: supporting growth of engineers, doing valuable work and generally having a great time making Spotify a great music experience for users. You will ensure our teams have strong and scalable data processing capabilities. As a leader in this consumer-centric part of the organisation, you will keep the focus on providing value to end users by encouraging and supporting a development process based on AB testing, fast iteration, analytics and user research.

What you’ll do

  • Develop people and teams through coaching, mentoring and feedback
  • Work with the recruiting team to attract, onboard and retain diverse top talent
  • Work closely with teams, product owners, agile coaches and other stakeholders to ensure we deliver world-class personalized user features
  • Help drive innovation in teams
  • Grow the technical expertise of your teams leveraging state of the art tools (including Google Cloud Platform offering)
  • Help establishing and advocate best quality practices across the organization (both on data and backend)
  • You will work with close counterparts in other disciplines as part of a cross-functional team, and nurture this culture in your team

Who you are

  • You are passionate about technology and what it can do for our users
  • You thrive when developing great people, not just great products
  • You are experienced in leading, coaching and mentoring software development teams and delivering working software together with them
  • You are well-versed in data-driven and data-informed product development
  • You have experience in fostering a strong engineering culture in an agile and devops environment
  • You are either an experienced manager or a top-level individual contributor looking to make a move to team leadership
  • You are knowledgeable and passionate either about recommender systems and data processing at scale or about robust micro-service architecture and distributed storage at scale
  • You want to make an impact

We strongly believe that diversity of experience, perspectives and backgrounds will lead to a better workplace for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

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