Modal

Technology

ResearchandEducationPartnershipsManager

$150–190k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Research and Education Partnerships Manager at Modal. Skills: Research partnerships, Academic outreach, AI infrastructure. Own and operate Modal for Academics program. Handle inbound inquiries”

What You'll Achieve.

Grants produced papers; Grants produced citations; Grants produced talks; Grants produced adoption

Industry & Context.

Technology
Eligibility Requirements

Working in-person

What They're Looking For.

Must Have

PhD or research Master's in ML/CS, Operated beyond pure research, Written and verbal communication, Good judgment, Organized and self-directed

Nice to Have

Conference organizer experience, Area chair experience, Workshop chair experience, Reviewer at major ML conference, Existing relationships with professors, Existing relationships with researchers

What You'll Do.

Own and operate Modal for Academics program

Handle inbound inquiries

Oversee grant decisions

Follow through on grants

Identify sponsorship opportunities

Pursue sponsorship opportunities

Build relationships with professors

Build relationships with researchers

Partner with AI research labs

Represent Modal at conferences

Develop outreach templates

Develop program documentation

Develop supporting content

How You'll Work.

Team & Collaboration

Cross-institutional boundaries

Communication Scope

Technical communication

Full Job Description

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 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. 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 https://modal.com/blog/modal-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 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. 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 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. The right person has lived in this world. You know how grant cycles work, how labs

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