Machine Learning Engineering Manager, Personalization at Spotify

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Music StreamingIndustries

Requirements

Thrive when developing great people and phenomenal, meaningful products
Experience in cultivating a strong engineering culture in an agile environment
Previous experience developing production-scale, data-driven AI systems (platform-level experience preferred)
Experience in people management, with humility to recognize areas for growth
Excited but not overhyped by the potential of Generative AI
Located in Eastern Standard/Daylight time zones for collaboration hours

Responsibilities

Accountable for the health of a team of ML, Backend, and Data Engineers, including hiring, coaching, mentoring, and hands-on career development
Accountable for team delivery, setting goals that balance ambition and sustainability, and proposing tradeoffs to optimize value
Accountable for the team’s technical strategy and architecture, collaborating with engineers to develop it, and ensuring the health of the team’s systems
Work with a product manager to ensure the team delivers products of value
Provide leadership to other efforts aligning with personal passion and Spotify’s needs, in collaboration with other managers and engineers

Skills

Machine Learning

Generative AI

LLMs

Agentic Workflows

Backend Engineering

Data Engineering

Production AI Systems

Technical Strategy

Engineering Architecture

Agile

Hiring

Coaching

Mentoring

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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