Machine Learning Engineering Manager - Ad Tech

We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.
We are looking for a passionate Engineering Manager to join Spotify’s Advertising Business Unit. Our mission is to create the best experience for our Spotify Free users and to offer the best return on investment to our advertisers. Our innovations in the digital audio advertising space drive new revenue that is helping change the very fundamentals of how creators earn a living in today’s digital world. The work we do helps change the lives of musicians, podcasters and artists everywhere.
You would be managing a team that has a significant part in all of our strategic efforts and will help us grow our advertising business into a market leader.
Our team uses machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad to the right user at the right time, while embodying Spotify’s values and taking our users’ best interests at heart.

What you'll do

• Serve as the technical lead for a project, including setting strategy, managing dependencies, and solving problems
• Lead, teach and grow a team of Machine Learning Engineers so they are happy and productively engaged
• Help formulate technical vision and strategy for the machine learning systems that power one of Spotify’s most important business areas, monetization in our free product of 100+ million monthly active users.
• Be a leading voice in an active community of machine learning practitioners across Spotify
• Be an active partner to your product peers as part of an effective leadership team for the whole group
• Inspire, manage and lead the engineering culture of our group, so we can achieve our mission

Who you are

• You have Ph.D. level expertise in a related computational field, in particular addressing probability and uncertainty as they relate to data. 
• You have experience in applying machine learning to solve product needs, and can make sound decisions about choice of algorithms, minimal viable products and iteration.
• You have experience collaborating with engineering and product stakeholders to embed machine learning products within larger systems. 
• You can draw on substantial depth and breadth of management experience to lead and grow a machine learning team.
• You have experience and passion for mentoring and encouraging collaborative teams.
• You are continuously curious and learning as a leader.
• You care about data-driven development, reliability, and responsible experimentation.
• You’re familiar with the industry trends for applied machine learning and can understand trade-offs of existing solutions.

#remote
Spotify is an equal opportunity employer. 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 345 million users.