Engineering Manager - Subscriptions

Spotify is hiring an Engineering Manager - Subscriptions for a remote role open to applicants in Sweden. Level rates it ; you can apply on Spotify.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting lists this role as remote.
Tools and skills the posting cites include Google Cloud, BigQuery and Apache Beam.
Level lists 88 other open roles at Spotify.
The role was posted within the past two weeks.

AI in this role

Lead an engineering team building data products, pipelines, and backend services supporting personalization and machine learning at Spotify.

google-cloudbigqueryapache-beamdataflowdbt

engineering-managementbackend-engineeringdata-engineeringmachine-learningdistributed-systems

At Spotify, our Subscriptions organisation helps listeners discover the value of Spotify, find the right subscription, and keep enjoying the content they love. From acquisition and activation to retention, commerce, and customer service, we build experiences that connect listeners with Spotify and support lasting relationships.

We're looking for an Engineering Manager II to lead a team of data and backend engineers within our Subscriptions Mission. Your team will build data products, pipelines, and services that help teams understand listener needs and deliver more relevant experiences. You'll work closely with product managers, data scientists, business partners, and engineers to turn complex challenges into reliable solutions. You'll also create an environment where engineers can grow, collaborate, and make a meaningful impact.

What You'll Do

Lead, support, and develop a team of data and backend engineers, creating an inclusive environment where everyone can contribute and grow.
Work with product managers, business partners, and engineering teams to set priorities and build data products that improve the subscription experience.
Guide the development of reliable, scalable data pipelines and backend services that support targeting, messaging, personalisation, and machine learning.
Help your team make informed technical decisions, balancing data quality, reliability, business needs, and long-term maintainability.
Support engineers through regular feedback, coaching, career development, and opportunities to share knowledge.
Collaborate across teams to manage dependencies, solve challenges, and build shared data solutions.
Improve engineering practices, including service reliability, sustainable on-call processes, and responsible data management.
Explore opportunities to use AI and automation to simplify workflows, improve data quality, and support your team's work.

Who You Are

You have experience leading data or backend engineering teams and enjoy helping engineers develop their skills and careers.
You have a background in software or data engineering and can guide technical discussions about data architecture, distributed systems, scalability, and reliability.
You understand how to balance team development, technical decisions, and delivery priorities to achieve meaningful results.
You have worked with large-scale data pipelines, data platforms, or backend services. Experience with technologies such as Google Cloud, BigQuery, Apache Beam, Dataflow, dbt, Flyte, Airflow, Scala, or Java is valuable.
You can navigate changing priorities, make informed decisions, and help your team move forward when the path isn't always clear.
You communicate clearly and build effective partnerships with product, business, and engineering teams to turn shared goals into practical solutions.
You value different perspectives, encourage open feedback, and help create an environment where people feel respected and supported.
You're curious about new technologies, including AI and automation, and enjoy finding ways to improve how teams work and deliver value.

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions).
This team operates within the Central European and GMT time zone for collaboration.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

How we rate this

Engineering Manager - Subscriptions at Spotify rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Engineering Manager - Subscriptions is an open job at Spotify.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Stockholm and is marked remote.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by Spotify. Apply on Spotify

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementBackend EngineeringData EngineeringMachine learningDistributed SystemsGoogle CloudBigQueryApache Beam

Questions you could be asked

Tell me about a project where engineering management was part of your work. What did you do?
Tell me about a project where backend engineering was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Engineering Management, Backend Engineering, Data Engineering, Machine learning, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker

Get new remote software engineering jobs by email

One email a week with the new remote software engineering jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.