Product Manager - Home Personalization, Content & ML Infrastructure

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
Home is the default screen in the Spotify app, surfacing the best of what Spotify has to offer, including music and podcasts for every situation, personalized playlists, new releases, old favorites, and undiscovered gems. The Home Personalization Product Area consists of several teams that are focused on matching users to compelling audio content, by combining our broad content catalog with machine learning personalization technologies. To do this, we rely on a deep understanding of our user’s listening habits and tastes. Our 430M+ listeners generate over 10 billion interaction events every day, which our machine learning models use to suggest recommendations to suit every situation and intent. 
We are looking for a Product Manager with experience in machine learning infrastructure to enable our teams to leverage high-quality data and accelerate the ML development process that drives the personalization of Spotify’s Home screen.

What you'll do

• Define and drive the vision for Spotify's Home ML infrastructure.
• Collaborate with a cross-functional team from Engineering, Data Science and User Research to define the next steps for the Home Platform.  
• Craft and drive a roadmap for your problem space informed by the needs of Home PZN teams and aligned with the long-term goals of the Home Personalization product area and Spotify. 
• Build and improve scalable ML infrastructure and the data pipelines that power Spotify’s homepage.
• Ensure that your team is strong and healthy - including capabilities, happiness, resilience, and growth.

Who you are

• You have 2+ years of experience in building and shipping ML infrastructure and data pipelines at scale in collaboration with teams of designers, engineers, and data scientists
• You have delivered projects that have shown confirmed impact for your business.
• You can balance long-term thinking with short-term ideation and don’t get stuck in analysis paralysis. Try something. Do something
• You are experienced in making hard data-informed decisions (A/B testing and experimentation, user testing, data analysis, defining metrics)
• You have developed opinionated perspectives, informed by research insights, deep analytical thinking, and systems-level design to find and focus on the most impactful opportunities.
• You are passionate about building products in a constantly evolving landscape and good at sorting out ambiguity.
• You know how to encourage, empower and support a team to get things done

Where you'll be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours: https://lifeatspotify.com/locations 
• Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone. 
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

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.