Machine Learning Engineering Manager, Freemium

The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We are looking for an Engineering Manager with a strong background in Data/ML to develop a team of engineers that share a common interest in People, Tech and Delivery. The person in this role grows and develops machine learning and data engineers in a healthy and innovative environment, continuously improving our engineering practices, delivering pioneering machine learning applications while keeping it safe and fun. Above all, your work will impact the way the world experiences music and audio content.
We believe that by thinking and acting at the intersection of product, marketing and branding we’ll bring scale, efficiency and differentiation to Spotify’s user growth strategy. We have an exciting and ambitious roadmap, with only a fraction of the potential opportunities identified. What's next could depend on you.

Our group

• Builds real-time and recommendation-based products that increase awareness, engagement, and retention with Spotify
• Deploys and evolves models that use a variety of ML techniques for Spotify's growth research teams
• Builds and maintains datasets for use across Spotify's marketing and growth teams
• Drives R&D projects from experimentation to production, working with designers, mobile and full-stack engineers, and marketing specialists

What you'll do

• Lead a team developing new R&D hypotheses, using machine learning to scale Spotify’s user base
• Work closely with product, insights and design to sustain and improve our team's culture, facilitate delivery, and develop strategy and execution with our leads
• Advocate and advance modern, agile software development practices and help develop and promote great engineering and organizational practices.
• Build upon Spotify’s ML infrastructure to deliver production-scale, end-to-end solutions
• Collaborate with other teams on relevant topics like data science and experimentation, machine learning applications, and systems design.
• Be accountable for your team's technology strategy, and curating standard methodologies for machine learning development and delivery
• Develop a team of ML engineers through hiring, coaching, mentoring, feedback and hands-on career development
• Grow a healthy, collaborative engineering culture aligned with Spotify's values

Who you are

• Passionate about machine learning and optimization problems
• Experienced leading development of large scale production ML systems, driving projects from experimentation to deployment
• Experienced with industry-standard frameworks such as Tensorflow or Scikit-learn
• Experienced with distributed processing systems such as Hadoop/Spark/Storm/Scio
• Caring about user experience, data-driven development, system reliability, and responsible experimentation
• Develop people and their careers, and have experience managing, coaching and mentoring software engineers
• Comfortable working collaboratively on a multi-functional team. Working project-based, and also driving delivery on small to medium-sized initiatives.
• Enjoy learning and teaching others, striving towards the goals of the team and, ultimately, the Spotify mission -- “giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it"

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
• We ask that our team members be located within Central Standard time zone, Eastern Standard time zone, or Brasília time zone for the purposes of our collaboration hours
• 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.
• Working hours? We operate within the Eastern Standard time zone for collaboration

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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.