---
title: 'Senior Machine Learning Engineering Manager - Content Platform at Spotify'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineering-manager-content-platform-spotify-london-9cn5d51mym8h'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Machine Learning Engineering Manager - Content Platform at Spotify

- **Company:** Spotify
- **Location:** London, United Kingdom
- **Work type:** hybrid
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.lever.co/spotify/bc70c9af-212e-48d5-b00b-eab26e4c0658

## Job description

We design Spotify's consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while staying deep in content understanding (audio, video and text). This is a player-coach role with a strong strategic remit: you'll shape where the group goes next, grow our audio understanding expertise over the long term, and help the team scale through thoughtful, practical use of AI in everyday engineering work.

## What You'll Do

- Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain.
- Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans.
- Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners.
- Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the team most.
- Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains.
- Partner with product, design, research and other engineering leaders across Spotify to align priorities and share context.

## Who You Are

- You have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters.
- You bring experience across NLP, audio / music content understanding and recommender systems.
- You have a track record of managing engineering teams while delivering complex, cross-functional initiatives.
- You enjoy coaching senior and Staff engineers, and you help experienced people grow their impact.
- You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to adopt it.
- You think strategically, communicate clearly, and can balance long-term bets with near-term delivery.

Where You'll Be

- This role is based in London or Stockholm.
- We offer the flexibility to work where you work best! There will be some in person meeetings, but still allows for flexibility to work from home.

## About Spotify

## Company Overview
- **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets.
- **Entity Type**: Public (NYSE: SPOT)
- **Headquarters**: Stockholm, Sweden
- **Founded**: 2006
- **Founders**: Daniel Ek and Martin Lorentzon

## Core Business
- Primary industry: Audio streaming and digital media
- Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists)
- Mission: "To deliver creativity to the world—one note, one voice, one idea at a time."

## Products & Services
- **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks
- **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening
- **Spotify for Artists**: Analytics, promotion, and monetization tools for creators
- **Spotify Advertising**: Programmatic and self-serve ad platform for brands
- **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022)

## Market Standing
- **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29)
- **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot.
- **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013).
- **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers.

## Competitive Advantages
- Scale: largest audio streaming subscriber base globally
- Data and AI personalization: mature recommendation engines and AI-driven discovery
- Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app
- Strong brand recognition and deep creator relationships

## Strategic Focus
- AI-powered personalization and generative audio tools
- Audiobook market expansion
- Podcast ecosystem growth
- Creator monetization and artist tools

## Why Work Here
- Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5)
- **Work

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