Machine Learning Engineering Manager, Personalization at Spotify

New York, New York, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Music Streaming, Technology, EntertainmentIndustries

Requirements

Experienced leading delivery of consumer-facing ML products at scale
Energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products
Skilled with current generative AI and agent technologies
Actively using AI-assisted coding and product development tools to prototype new products
Expert in modern ML theory, practices, and their practical implementation
Comfortable providing detailed technical direction and resolving complex engineering challenges
Collaborative and influential, thriving in strategic discussions with senior engineers and managers
Focused on user outcomes, rigorously grounding decisions in user data and insights
Experienced in nurturing technical talent, committed to growing engineers' skills in technology and leadership
Within the EST time zone, with ability to collaborate in Eastern Standard time zone

Responsibilities

Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized music experiences
Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
Bring external experience in generative AI and agent frameworks to enhance Spotify's personalized music sessions
Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
Champion AI-assisted coding practices, continually expanding the team's technical capabilities
Foster strong research partnerships to scale innovative solutions from experimentation to production
Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture
Provide technical leadership to a squad of ~12 engineers focusing on AI-driven music session experiences, driving expansion of NextGen's AI experiences in music

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIAgent FrameworksBackend EngineeringData EngineeringML ModelingPrototypingArchitectural DesignAI-Assisted Coding

Questions & Answers

Common questions about this position

What is the team size and structure for this role?

You'll lead a newly formed squad of ~12 engineers focusing on AI-driven music session experiences, within the NextGen product area that has about 100 engineers, scientists, product managers, and domain experts.

Is this role remote or office-based?

The team works remotely and in offices in New York, Boston, London, and Stockholm.

What key skills and experience are required for this position?

Candidates need experience leading consumer-facing ML products at scale, skills with generative AI and agent technologies, expertise in modern ML theory and practices, and proficiency in AI-assisted coding tools.

What is the company culture like for this team?

The culture emphasizes collaboration, adaptability, innovation through rapid prototyping, strong research partnerships, and developing talent via hiring, coaching, mentoring, and fostering a collaborative environment.

What makes a strong candidate for this ML Engineering Manager role?

Strong candidates thrive in ambiguity and rapid change, have a track record of turning ideas into impactful products, provide technical direction on complex challenges, and focus on user outcomes grounded in data.

Spotify

Digital music streaming service with podcasts

About Spotify

Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.

Stockholms kommun, SwedenHeadquarters

2006Year Founded

$2,004.2MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

10,001+Employees

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse

Global parental leave, six months off - fully paid - for all new parents

Flexible public holidays, swap days off according to your values and beliefs

Flexible share incentives letting you choose how you share in our success

All The Feels, our employee assistance program and self-care hub

Spotify On Tour, join your colleagues on trips to industry festivals and events

Risks

Accidental display of adult content may harm Spotify's reputation.

Creating its own music to avoid royalties could lead to legal issues.

Layoffs may affect Spotify's operational efficiency and employee morale.

Differentiation

Spotify offers a vast library of music and podcasts globally.

The platform's user-friendly interface enhances user experience and engagement.

Spotify's personalized playlists cater to individual user preferences.

Upsides

Spotify's AI-powered Wrapped feature enhances user engagement and personalization.

Expansion into political podcasting taps into new audience segments.

Growing podcast popularity in Africa presents expansion opportunities for Spotify.

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