Head of Research Community and Operations

What You'll Do

• Build and manage Harvey's external research community presence, including academic partnerships, conference strategy, publication support, and open-source engagement to attract world-class talent and elevate Harvey's reputation in AI research.
• Design and operate the research organization's planning and coordination infrastructure, including quarterly planning cycles, resource allocation, milestone tracking, and cross-team dependency management across research, engineering, and product.
• Develop and execute a research communications strategy in partnership with marketing and research leadership, translating technical breakthroughs into compelling narratives for external and internal audiences.
• Establish and maintain relationships with academic institutions, industry research labs, and professional organizations to foster collaboration, visiting researcher programs, and knowledge exchange.
• Drive internal community-building initiatives — such as research seminars, reading groups, and cross-team knowledge-sharing forums — that keep researchers connected, inspired, and aligned on strategic priorities.
• Own research program management end to end: scoping initiatives, managing budgets, tracking deliverables, and reporting progress to R&D leadership.

What You Have

• 8+ years of experience in research operations, technical program management, or community building within a technology, AI, or academic research organization.
• Demonstrated track record of building external research communities, managing academic or industry partnerships, or scaling research programs at a high-growth company.
• Strong program management skills with experience coordinating multi-stakeholder initiatives across technical and non-technical teams in fast-moving environments.
• Excellent written and verbal communication skills, with the ability to translate complex research concepts for audiences ranging from ML engineers to senior executives to external partners.
• Deep familiarity with the AI/ML research ecosystem, including major conferences (NeurIPS, ICML, ACL, EMNLP), publication processes, and academic collaboration norms.
• A builder's mindset, comfort with ambiguity, a bias toward action, and a track record of creating structure where none existed before.