Machine Learning Engineering Manager - Creator Promotion

New York, NY

Applications have closed
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Spotify

Posted 1 month ago

Spotify is the world's leading streaming music provider and has affected all aspects of how music is enjoyed and created. On the music industry side of Spotify - Marketplace - we think of ourselves as the software layer of the new music industry. We serve the artists, distributors, labels and publishers that make up our industry, and our mission is to build tools that help these teams build an audience, monetize fans, and live off their work. A key focus of that mission is to empower the 465,000+ monthly active artists using Spotify for Artists with self-serve marketing tools. Creator Promotion is the organization focused on providing audience development tools to creators in Spotify for Artists. 
Machine learning will play a critical role in the success of our products. Spotify has a strong ML community and mature ML infrastructure, Creator Promotion has started its journey this year and plans to increase the investment in 2021. 
We are looking for an Engineering Manager who has ML experience to hire and build up the team, mentor and coach our ML engineers, guide them on their career growth and advise on our ML strategy across all of the products. You will guide the ML engineers to build and serve models to predict complex user behaviors in collaboration with business leads, product managers and data scientists across multiple products. We would also leave space for you to stay hands on and contribute to building ML solutions.

What you'll do

  • Build, lead, and serve an effective team of ML engineers through hiring, coaching, mentoring, feedback, and hands-on career development.
  • Work with different product teams to distill a holistic ML strategy for the tribe 
  • Advocate for and implement engineering best-practices 
  • Partner with other leaders as we craft and evolve an agile, learning organization.
  • Nurture a healthy, collaborative engineering culture aligned with our values.
  • Provide leadership to other efforts that fit your passion and Spotify's needs at the intersection of other product areas, business units, and across Spotify.

Who you are

  • You have previous industry experience with the application of machine learning  and scaling such models to hundreds of millions of users.
  • You have developed ML or tech strategy for a team and seen it to its success.
  • You are passionate about creative machine-learning-driven products.
  • You love developing and growing engineers. You thrive when developing great people, not just great products.
  • You are passionate about teamwork and collaboration, while coaching and mentoring software developers to deliver timely, high-quality software.
  • You strive to cultivate a healthy engineering culture in an iterative, agile environment.
  • You don’t mind getting into the weeds in complex engineering efforts and can drive delivery while maintaining a happy & productive team.
  • You can communicate complex concepts to your  less ML literate partners in Tech, Product, Design and Insights.
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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 320 million users.
Job tags: Engineering Machine Learning Marketing ML
Job region(s): North America