Machine Learning Engineering Manager - Freemium
London
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
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 a team in the Freemium mission working on optimizing the customer journey. We are responsible for the user experience across the Freemium lifecycle: from a user accessing Spotify for the very first time to becoming a long-term settled user on our free or paid tiers, and every variation within this journey. We have been working on optimizing this user journey both through heuristics and ML. As an Engineering Manager in our team, you will have the opportunity to have a significant impact on Spotify’s growth and will play a key role in our continued efforts to create highly personalized experiences to authenticate, activate and retain users across all tiers.
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.
We are a team in the Freemium mission working on optimizing the customer journey. We are responsible for the user experience across the Freemium lifecycle: from a user accessing Spotify for the very first time to becoming a long-term settled user on our free or paid tiers, and every variation within this journey. We have been working on optimizing this user journey both through heuristics and ML. As an Engineering Manager in our team, you will have the opportunity to have a significant impact on Spotify’s growth and will play a key role in our continued efforts to create highly personalized experiences to authenticate, activate and retain users across all tiers.
What you'll do
- Work closely with your product counterpart, actively contributing to shape and form the product strategy and taking accountability to deliver on the product strategy - realizing a high quality user experience.
- Use experimentation, data and insights to make the appropriate priorities and decisions.
- Participate in and challenge your team's systems architecture, making the appropriate trade-offs based on quality, scalability, performance and cost aligned with the team’s tech strategy.
- Grow the technical expertise of your team through technical leadership and advocating for sound software engineering practices such as continuous delivery.
- Lead a cross-functional team of various engineering fields. Grow a healthy, collaborative and productive engineering team in line with our values.
- Grow people and the team through hiring, coaching, mentoring, feedback, process and continuous improvement efforts.
Who you are
- You'll have a growth mindset - you embrace challenges and celebrate wins as well as failures.
- Experienced with leading, coaching, and mentoring individuals and teams.
- Proven experience with applying agile software development practices to create high-performing teams.
- Passionate about creating a healthy culture for individual growth, have interests in inclusion and belonging efforts and have a high regard for championing positive mental health practices.
- You have a strong background in applied machine learning, theory, and practice.
- Hands-on experience implementing and maintaining high-scale, production ML systems in Python, Scala, or similar languages, is a plus.
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 EMEA region in which we have a work location
- 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 Central European time zone for collaboration
- We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Engineering Machine Learning Python R R&D Research Scala Streaming
Perks/benefits: Career development
Region:
Europe
Country:
United Kingdom
Job stats:
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Categories:
Engineering Jobs
Leadership Jobs
Machine Learning Jobs
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