Machine Learning Engineering Manager – Personalization

Spotify

Engineering Manager leading the machine learning team to enhance personalized listening experiences at Spotify. Overseeing technical direction and supporting team development to deliver impactful ML capabilities.

Posted 7/30/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and developing high-performing engineering teams while guiding the design, development, and operation of production machine learning systems at scale. Proficient in modern machine learning techniques, including large language models, and effective communication across cross-functional teams.

Highest-signal resume keywords

Machine Learning System DevelopmentTeam Leadership and MentorshipEnd-to-End Machine Learning LifecycleLarge Language Models ExpertiseEffective Cross-Functional Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningProduction System OperationSoftware Engineering PracticesGenerative AI ApplicationsTechnical Direction SettingExperimentationDeploymentMonitoring

Soft Skills

CoachingMentoringCollaborationCuriosityContinuous Learning

Industry Keywords

Engineering CultureTechnical StrategyPersonalizationHigh-Performing TeamsOperational Excellence

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Flexible to work where you work best!