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. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure.
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 at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.
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, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
About Modal DesignWe're hiring our second designer to join Modal as we build the future of serverless computing. You'll have significant impact on our product experience, brand, and design culture.
We focus on creating observability tools that help developers understand how their apps are running. Your scope will include our core product, marketing website, and various creative initiatives.
The RoleYou'll work with our Product Engineering team and designer on our observability dashboard, marketing website, and projects like the GPU Glossary. Your work will directly impact how developers use and understand Modal applications.
What You'll DoDesign interfaces that make Modal the best serverless experience for developers
Work with engineering and go-to-market teams on product strategy and roadmapping
Help build our design team and processes as we scale beyond Series A
Create systems that balance technical depth with usability
Experience in product design teams that have shipped software
Strong portfolio showing your skills in typography, interaction design, visual design, and product thinking
Experience working in fast-paced engineering environments
Clear communication skills to explain design decisions and gather feedback
Technical background or experience with developer tools
Previous work on observability platforms
Experience designing for technical users
Knowledge of serverless architectures
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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.
