Customer Engineer

New York, United StatesOn-site

Responsibilities

Design tooling, dashboards, and automated workflows that make support efficient at scale — delighting customers at the most important moments. - Close the feedback loop.
Write examples, build demos, and publish content that helps the broader community succeed on Modal.

ABOUT US: AI needs a new infrastructure layer.
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.
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.
THE ROLE: We're looking for engineers with deep AI/ML and low-level systems
experience who want to build the best technical support experience in the world.
The problems you encounter are deeply technical and arise from running some of the most demanding AI workloads in the world.
experience for every Modal user — not just the one who reported the issue. - Work directly with customers.
Help developers and ML engineers debug, optimize, and architect their workloads across Slack, email, and calls. - Build scalable systems.
Translate patterns you see in the field into concrete improvements — docs fixes, API changes, or new feature proposals. - Contribute to open source and technical content.
You bring depth in either low-level infrastructure or ML/AI, and you're not lost in the other. - Low-level infrastructure experience.
Operating systems, file systems, networking, performance profiling, cluster management and distributed systems. - AI/ML engineering experience.
Training models, optimizing inference, working with GPUs, or building ML infrastructure. - Automation mindset.

Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno.
We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
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.

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.
This isn't a traditional support role — it's an engineering role where you happen to be closest to our customers.
You'll split your time roughly 50/50 between working directly with customers and shipping fixes, features, and automation that improve Modal for everyone.
When you help a customer debug a training run, you'll also fix the underlying issue in the platform.
When you notice ten customers hitting the same friction point, you'll build the tooling or automation that eliminates it entirely.
This role is for people who solve problems, not people who answer tickets.
You'll be a member of our engineering team, contributing production code alongside the engineers building the core platform.
The difference is that your roadmap is shaped by what you learn at the frontier of customer experience.
You will: - Ship code that matters. Fix bugs, build features, and create automation that improves the