Time since we first saw it
Day 29
Similar jobs usually come down between day 7 and day 54.
At Spotify, jobs usually come down by about day 39.
From 8,108 similar postings that came down, and 43 of Spotify’s. Coming down is not always a hire.
Senior Machine Learning Engineering Manager - Content Platform
Reads like a Data Leadership role: running a data team.
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingLead, coach and grow a group of 10+ senior and Staff ML engineers
Set technical and team strategy for multiple content understanding problems
Own delivery of high-priority initiatives through to measurable listener impact
Review designs and guide modelling and retrieval choices as a player-coach
Champion a practical approach to using AI tools in day-to-day ML engineering
From the employer’s posting
Lead, coach and grow a group of 10+ senior and Staff machine learning engineers
Set technical and team strategy for multiple content understanding problems
Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners.
Lead technical strategy, reviewing designs, guiding modelling and retrieval choices
Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work
What you’ll bring
All qualificationsCore experience
- You bring experience across NLP, audio / music content understanding and recommender systems.
Qualification wording
You bring experience across NLP, audio / music content understanding and recommender systems.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202629 days ago
- Recorded sightings
- 44
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Oct 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Spotify is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
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Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
Employment type
Permanent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.