Modal is building the serverless compute platform to support the next generation of AI companies. In order to deliver the developer experience we wanted, we went deep and built our own infrastructure—including our own custom file system, container runtime, scheduler, container image builder, and much more.
We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding.
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 a business operations manager 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:
Own, execute, and optimize key growth programs that power our PLG motion.
Lead in-person event initiatives that nurture our developer community.
Help evaluate and manage new strategic partnerships within the AI ecosystem.
Support the exec team on financial operations, from streamlining revenue collection to analyzing new opportunities for pricing/packaging & cost optimizations.
Implement new tools and processes to improve internal ops and sales workflows.
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.
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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.
