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 , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role: Modal is the cloud platform built for AI. We're used by the world's leading AI labs, startups, and researchers to run compute-intensive workloads: training runs, inference, sandboxed code execution, and more. We need someone to own and grow our presence in academia and research. That means running our Modal for Academics program : sponsoring courses and labs with compute credits, building relationships with professors and researchers at top institutions, and making Modal the default choice when someone needs GPUs for their next paper. The right person has lived in this world. You know how grant cycles work, how labs are structured, and how the conference publishing process actually runs. You've also shown you can operate beyond the lab, whether that's organizing events, building community, or working across institutional boundaries. In this role, you will: Own and operate the Modal for Academics program end-to-end: handling inbound inquiries, overseeing grant decisions, onboarding, and follow-through. Identify and pursue sponsorship opportunities with university courses, ML research labs, and academic conferences, with a bias toward work that's likely to be widely read and cited. Build relationships with professors and researchers at top universities. Partner with leading AI research labs on compute grants and collaborative programs. Track outcomes: which grants produced papers, citations, talks, or downstream Modal adoption. Represent Modal at academic conferences (NeurIPS, ICLR, ICML, and others) and research-adjacent events. Develop outreach templates, program documentation, and supporting content to scale inbound interest.