Research and Education Partnerships Manager

New York, United StatesOn-site

Responsibilities

- Build relationships with professors and researchers at top universities.
- Develop outreach templates, program documentation, and supporting content to scale inbound interest.

ABOUT US: AI needs a new infrastructure layer.
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.
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.
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.
- 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.
- Partner with leading AI research labs on compute grants and collaborative programs.
REQUIREMENTS: - A PhD or research Master's from a strong program in ML/CS or with a large computational component.
Experience as a conference organizer, area chair, workshop chair, or reviewer at a major ML conference. - Existing relationships with professors and researchers at top universities.

We've crossed $300M+ ARR and grown fivefold since September.
You know how grant cycles work, how labs are structured, and how the conference publishing process actually runs.

Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno.
We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
That means running our Modal for Academics program https://modal.com/academics: 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.

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.
We need someone to own and grow our presence in academia and research.
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.
- 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.
You know how grants work, how labs are structured, and how the conference process actually runs. - Evidence that you've operated beyond pure research: organizing a workshop, running a student group, working with a grants office, industry internships, or similar. - Strong written and verbal communication, including on technical matters.
You'll be representing Modal to professors and researchers at top universities. - Good judgment about what's worth pursuing.
Not every course sponsorship or lab partnership is equal. - Organized and self-directed.