About the role
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 Lovable, 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 recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
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:
Modal considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions.
Responsibilities:
Thinking holistically about content architecture and how the docs should evolve as Modal introduces new products and features
Innovating on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team
Developing content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality
Building and maintaining automated pipelines that will enforce the correctness of code examples and prose descriptions
Collaborating with engineers across the company to author documentation that is clear, consistent, and correct
Requirements:
3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space
Experience authoring and/or editing high-quality technical content for developers
Knowledge of agentic engineering workflows and best practices
Comfort with modern software development practices (version control, CI/CD, testing)
About Modal Labs
Modal is a serverless cloud infrastructure platform designed for running artificial intelligence, machine learning, and data processing workloads using code-based configuration. The company provides an environment where developers deploy functions for inference, training, batch processing, and data pipelines without managing servers or manual infrastructure setup. It offers GPU access and CPU resources that automatically scale based on workload demand, supporting applications such as large language model inference, model fine-tuning, and high-throughput computation tasks. Modal includes sandbox environments that execute isolated code for testing, evaluation, and agent-based workflows. The platform also integrates observability features that allow monitoring of logs, execution states, and performance metrics across workloads. It supports multi-cloud GPU scheduling and dynamic resource allocation to optimize compute availability across regions. Modal is used by teams building AI applications that require flexible compute scaling, low-latency execution, and simplified deployment workflows.
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Job details
Location
New York, NY
Funding
Total raised
$111M
Last stage
Growth
Investors
Founders
Akshat Bubna
CTO and Co-Founder
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
