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.
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.
What You'll Work On:Think holistically about content architecture and how the docs should evolve as Modal introduces new products and features
Innovate on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team
Develop content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality
Build and maintain automated pipelines that enforce the correctness of code examples and prose descriptions
Collaborate with engineers across the company to author documentation that is clear, consistent, and correct
You have 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space
You’ve authored or edited high-quality technical content for developers
You’re knowledgeable about agentic engineering workflows and best practices
You’re comfortable with modern software development practices (version control, CI/CD, testing)
Skills Required
- 3+ years of experience in an engineering, product, or developer relations role, ideally in the developer tools or infrastructure space
- Experience authoring or editing high-quality technical content for developers
- Knowledge of agentic engineering workflows and best practices
- Comfort with modern software development practices, including version control, CI/CD, and testing
What We Do
Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs. Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.
