The opportunity
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.
What you'll do
Lead, coach, and develop a team of machine learning engineers, creating an: inclusive, high-performing engineering culture.
Set the technical direction for the team while partnering with Product, Data: Science, and Engineering leaders to deliver impactful machine learning capabilities.
Guide the design, development, deployment, and operation of production machine learning systems at scale.
Support engineers through technical mentorship, career development,: performance management, and regular feedback.
Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
Foster engineering excellence through modern software engineering practices,: experimentation, and operational excellence.
What they're looking for
- You have experience leading and developing high-performing engineering teams.
- You have built trust through coaching, mentoring, and supporting engineers in their career growth.
- You have deep expertise building and operating production machine learning systems at scale.
- You understand the end-to-end machine learning lifecycle, from: experimentation through deployment and monitoring.
- You are experienced working with modern machine learning techniques,: including large language models and generative AI applications.
- You communicate effectively across engineering, product, and data science partners.
- You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
- You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.
