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Protege

Head of Community (Researcher Relations)

Reposted 20 Days Ago
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Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Head of Community (Researcher Relations) builds relationships with AI researchers, creating a trusted ecosystem for AI data discussions and enhancing Protege's presence in the research community.
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Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

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.

Role Overview:

The Head of Community (Researcher Relations) bridges the gap between the world’s leading AI researchers, the Protege core AI training and evaluation dataset business, and the Protege Data Lab’s technical AI data expertise. This role seeks to establish and grow Protege’s position as the world’s leading AI data expert advisors in the eyes of AI researchers by building our own research and AI development community. The role requires a unique blend of relationship and community-building instincts and deep understanding of data’s role in cutting edge AI research and development.

Key Responsibilities:

  • 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 the field of 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 to provide insights to our partnerships team on the highest priority data 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 ongoing Protege data product releases and matching Protege offerings to relevant researcher needs

  • Design and launch an academic advisory board that advises Protege product development and helps drive the Protege Data Lab as the leader in AI data research

About You:

  • 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

Bonus if you have these attributes:

  • Published authorship in research and/or academic publications

  • Advanced degree in applied econometrics, applied mathematics, computer science, statistics, bio informatics 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

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