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About the Role
The Personalization team enhances the music and podcast listening experience by developing features like Blend and Discover Weekly. You will lead a team of machine learning, backend, and data engineers, focusing on improving ML models for ranking and personalization, and exploring generative recommendations with large language models.
Responsibilities
- 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.
- Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
- Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.
Requirements
- Experience leading and developing high-performing engineering teams.
- Experience building trust through coaching, mentoring, and supporting engineers in their career growth.
- Deep expertise building and operating production machine learning systems at scale.
- Understanding of the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
- Experience working with modern machine learning techniques, including large language models and generative AI applications.
- Effective communication across engineering, product, and data science partners.
- Commitment to building inclusive teams where collaboration, curiosity, and continuous learning thrive.
- Ability to balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.
Skills
- Machine Learning
- Large Language Models
- Generative AI
- Backend Engineering
- Data Engineering
- Technical Leadership
- People Management
- Mentorship
- Career Development
- Performance Management
- Product Partnership
- Data Science Partnership
- Engineering Leadership
- ML System Design
- ML System Development
- ML System Deployment
- ML System Operation
- ML System Monitoring
- Software Engineering Practices
- Experimentation
- Operational Excellence
- Technical Strategy
- Emerging ML Technologies
Location
- Eastern Standard time zone
Work Type
- Remote
Experience Level
- Engineering Manager
Salary/Compensations
- $184,049 - $262,928
Benefits
- 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
- Equity
About the Company
- Spotify is an equal opportunity employer.
- Our platform is for everyone, and so is our workplace.
- We are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
- We have ways to request reasonable accommodations during the interview process and help assist in what you need.
Equal Opportunity
- 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.
- 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.
- If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.