Spotify

Passionate music fans. Innovative tech pros. Perfect harmony. Join our band.

Engineering Manager

Engineering ManagerEngineering ManagerFull TimeRemoteTeam 5,001-10,000Since 2008H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

31 days ago

Salary

$164.4K - $234.9K / year

Machine LearningStatisticsData EngineeringBackend EngineeringWeb EngineeringSystem ArchitectureModel DeploymentMonitoringPythonTensor FlowPy TorchSQLAWSKubernetesDockerGitAgileLeadership

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We're looking for an Engineering Manager to join the Native Ads team in the Music Mission. In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with fans. You will play an integral role in shaping the future of Native Ads products, technology, and business, and represent Native Ads in the continuously evolving Coordinated Promotions ecosystem by collaborating with key partners in Personalization and Amplify.

As the Engineering Manager for the Optimyst Squad, you will solve complex problems surrounding:

  • Forecasting campaign budgets
  • Targeting optimization
  • Observability into campaign delivery systems

Your goal will be to improve overall supply and campaign performance and develop solutions to provide engaging music experiences for 350+ million active users using user behaviors and contextual information on mobile and connected platforms.

Above all, your work will impact the way the world experiences music and the way creators connect to their fans!

Qualifications

  • Demonstrable success in engineering management, with several years of experience leading and growing engineers
  • Strong background in statistics/ML/AI technologies and their application to consumer products
  • Invested in balancing developing thriving engineers and helping teams achieve significant business impact
  • Thrive in ambiguity, balancing tech health with speed of impact and learning
  • Strong product intuition to efficiently connect the dots between multiple systems at Spotify
  • Experience or strong interest in emerging agent technologies and generative recommender systems
  • Aim to build capabilities that deliver a great, safe, and trusted experience to customers and Spotify users
  • Understanding of the challenges of deploying and monitoring models in production
  • Ability to translate product metrics into model improvement strategies
  • A plus if you have some knowledge of Ads systems

Requirements

  • Lead the team to enhance current Native Ads product performance by experimenting with current and new ML models
  • Participate in and challenge your team's systems architecture and modeling approaches
  • Grow the technical expertise of your team through technical leadership and advocating for sound practices
  • Identify, advocate for, and lead critical initiatives to advance technical and product performance in Native Ads
  • Manage a team of ML, DE, BE, and Web engineers to develop, maintain, and own business-critical models
  • Collaborate with a multi-functional, agile team to build new product features
  • Foster a healthy, collaborative, and productive engineering team
  • Develop the team’s resilience amid fast change and ambiguity
  • Grow people and the team through hiring, coaching, mentoring, feedback, and continuous improvement efforts

Benefits

  • Flexibility to work where you work best
  • In-person meetings with flexibility to work from home
  • United States base range for this position is $164,448 - $234,926 plus equity
  • 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

Job Requirements

  • Demonstrable success in engineering management, with several years of experience leading and growing engineers
  • Strong background in statistics/ML/AI technologies and their application to consumer products
  • Invested in balancing developing thriving engineers and helping teams achieve significant business impact
  • Thrive in ambiguity, balancing tech health with speed of impact and learning
  • Strong product intuition to efficiently connect the dots between multiple systems at Spotify
  • Experience or strong interest in emerging agent technologies and generative recommender systems
  • Aim to build capabilities that deliver a great, safe, and trusted experience to customers and Spotify users
  • Understanding of the challenges of deploying and monitoring models in production
  • Ability to translate product metrics into model improvement strategies
  • A plus if you have some knowledge of Ads systems
  • Lead the team to enhance current Native Ads product performance by experimenting with current and new ML models
  • Participate in and challenge your team's systems architecture and modeling approaches
  • Grow the technical expertise of your team through technical leadership and advocating for sound practices
  • Identify, advocate for, and lead critical initiatives to advance technical and product performance in Native Ads
  • Manage a team of ML, DE, BE, and Web engineers to develop, maintain, and own business-critical models
  • Collaborate with a multi-functional, agile team to build new product features
  • Foster a healthy, collaborative, and productive engineering team
  • Develop the team’s resilience amid fast change and ambiguity
  • Grow people and the team through hiring, coaching, mentoring, feedback, and continuous improvement efforts

Benefits

  • Flexibility to work where you work best
  • In-person meetings with flexibility to work from home
  • United States base range for this position is $164,448 - $234,926 plus equity
  • 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

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