Modal
AI Infrastructure
SystemsEngineeringManager
Neural analysis suggests this role is
optimal for Lead candidates.
“Systems Engineering Manager at Modal. Skills: Systems Engineering, Leadership, Distributed Systems, Cloud Infrastructure, Systems-level languages. lead a group of highly experienced engineers. spend roughly half your time on technical contribution and half on people management”
Industry & Context.
tackle complex systems challenges
What They're Looking For.
Must Have
At least 10 years of industry experience, 3 years experience in a leadership role, Experience building high-performance distributed systems at a large scale, background in cloud infrastructure, knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.), Proficient in systems-level languages such as Rust, C, C++, or Java
What You'll Do.
lead a group of highly experienced engineers
spend roughly half your time on technical contribution and half on people management
work closely with the team to set direction
and foster a engineering culture
tackle complex systems challenges in distributed computing
large-scale data handling
and performance optimization
How You'll Work.
Team & Collaboration
work closely with the team; help great engineers move fast and make sound decisions
Communication Scope
communicate with clarity
Full Job Description
ABOUT US: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B https://modal.com/blog/announcing-our-series-b at a $1.1B valuation. Our investors include Lux Capital https://www.luxcapital.com/, Redpoint Ventures https://www.redpoint.com/, Amplify Partners https://www.amplifypartners.com/, and Elad Gil https://eladgil.com/. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/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 pragmat
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