About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. Who You Are: We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact. Requirements: At least 10 years of industry experie
Salary not disclosed
Check market pay for comparable Engineering Manager roles before applying.
Role overview
Job description
-
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.
-
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.
-
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.
What they are looking for
Skills & requirements
Department · Engineering
Hiring company
Spotify
Spotify is a digital music service that gives you access to millions of songs, podcasts, and audiobooks. Listen to your favorites online now.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
🔔 Get job alerts
New Engineering Manager - Subscriptions jobs in Stockholm, straight to your inbox.
No spam · Unsubscribe anytime