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 at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil.
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.
The Role:We’re looking for business operations managers to join the team. This person will work closely with folks across marketing, sales, operations, and finance across a variety of initiatives to help scale the business in our next phase of growth. You'll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. In this role, you will:
Drive in-depth quantitative analyses to inform our pricing and packaging strategy.
Help spin up our deal desk and streamline enterprise deals.
Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities.
Implement new tools and processes to enable the GTM org to grow rapidly.
Get creative on a spectrum of ad-hoc projects like securing new office space in Manhattan.
We are looking for someone who:
Has 5+ years experience working in some kind of business function (e.g. banking, consulting, startup).
Has some exposure to tech and coding (in order to understand our product & customer, work with analytical tools, and build out custom tooling).
Is analytical, organized and detail-oriented, holds their output to a high bar of excellence.
Is eager to learn about a variety of different business functions and juggle many projects at once.
Is excited about working in-person in NYC.
Top Skills
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.
