Academic Research Partnerships & Programs Lead

We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage.

This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support.

- Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential.

- Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria.

- Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals.

- Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams.

- Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion.

- Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement.

- Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion.

- Relevant experience in business development, program management, partnerships, or technical go-to-market work serving higher education, research, developer, or technical communities.

- Proven credibility with funded labs, hard-science researchers, or R1 universities.

- Strong program design and operating judgment, with the ability to move from an ambiguous concept to a measurable, repeatable motion.

- Technical fluency with AI platforms and research workflows; able to run credible discovery with researchers and research IT.

- Ability to navigate complex institutions across researchers, central and research IT, procurement, funders, administrators, and executive sponsors.

- Clear communication, high judgment, and strong cross-functional execution in a fast-moving environment.

- Hands-on experience with AI platforms, developer products, or research infrastructure.