Protege is looking for a Head of Community (Researcher Relations) to bridge the gap between the world’s leading AI researchers, our core AI training and evaluation dataset business, and our Data Lab’s technical expertise. This role is pivotal in establishing Protege as the premier trusted advisor in AI data by building and nurturing our own research and development community.

What You'll Do

Build relationships with leading AI researchers to establish Protege as the trusted, unbiased source for AI data research, expertise, and commercial application.
Create a trusted Protege ecosystem for ongoing conversations and advancements in AI data through events, working groups, fellowships, roundtable discussions, and other community-building methods.
Understand ongoing researcher data priorities and needs to identify gaps in Protege’s data offerings and provide insights to our partnerships team on high-priority acquisitions.
Establish Protege’s presence in the research community and develop the reputation of the Protege Data Lab through community building.
Connect the dots between the researcher ecosystem and Protege’s business objectives, such as product releases and matching offerings to researcher needs.
Design and launch an academic advisory board that advises Protege product development and helps drive the Data Lab as the leader in AI data research.

What We're Looking For

You are a curious, tenacious, proactive, and creative problem-solver with a strong bias towards action.
You are not bothered by ambiguity and embrace driving towards solutions in complex environments.
You have demonstrated deep levels of engagement in the AI research community conversation, such as on X or other social media channels, and understand the researcher language.
You have hands-on experience building expert technical communities from scratch through a combination of in-person and online marketing channels and techniques.
You have a bachelor’s degree with industry experience in a quantitative field such as economics, statistics, biostatistics, bioinformatics, computer science, cognitive psychology, or data science, OR a demonstrated proficiency in one or more of these fields.
You can wear multiple mindsets: you can think theoretically to connect with leading AI researchers, then translate that theory into tactical execution.
You are a team-player; no job is too big or too small.
You treat those around you with kindness.

Nice to Have

Published authorship in research and/or academic publications.
Advanced degree in applied econometrics, applied mathematics, computer science, statistics, bioinformatics, or any applied field.
Experience designing and building community and ecosystems centered around technical subject matter expertise.
Experience with data and its application to AI model training and evaluation.
Ability to think creatively and insightfully about large scale data problems.

Team & Environment

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.