Machine Learning Engineering Manager II - Personalization

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 the US EST or European GMT or CET time zones for the purposes of our collaboration hours.

We are looking for a Machine Learning Engineering Manager (ML EM II) to join the PSP product area of hardworking engineers that are passionate about making our recommendations more business and cost aware. As an integral part of the squad, you will collaborate with engineers, research scientists, and data in prototyping and productizing state-of-the-art ML.

What You'll Do

• Be accountable for the team’s delivery of engineering systems that help users discover novel content and creators to grow their audience.
• Together with a wide range of collaborators, develop a vision and strategy for strategy and business-aware recommendations that keeps Spotify at the forefront of innovation in the field.
• Advocate for and increase knowledge of team’s products across the company, including influencing the company’s most senior leaders.
• Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world.
• Directly manage  engineers, consisting of backend/data engineers and machine learning engineers
• Collaborate with the team’s product lead to define strategy, success metrics and roadmaps.
• Influence the technical design and architecture of the team’s stack.
• Influence the team’s research roadmap. Collaborate with leaders throughout the company to plan and execute impactful initiatives requiring many teams.

Who You Are

• You have a background in and significant expertise in statistics/ML/AI technologies and their application to consumer products.
• You have demonstrated the ability to lead a team
• You have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential.
• You love facilitating collaboration among several teams, developing and growing teams and their leaders while driving delivery.
• You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity to impact.
• You thrive when bringing research to market as amazing products for users.

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the North American region as long as we have a work location.
• This team operates within the EST time zone for collaboration.

The United States base range for this position is $176,000 - $252,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.