Community Lead

Responsibilities

• Set community strategy and priorities
• Develop and own FAR.AI ’s community strategy and theory of change, identifying where community-building can have the greatest impact.
• Map the ecosystem to identify gaps, emerging opportunities, and unmet needs.
• Translate these insights into clear priorities, experiments, and measures of success.
• Build relationships with researchers, practitioners, technical organizations, academics, entrepreneurs, funders, policymakers, and community leaders across organizations and geographies.
• Represent FAR.AI at relevant conferences, workshops, and community gatherings, working with the Community Manager and Futures leadership to identify priority events, key relationships, and desired outcomes for each.
• Facilitate introductions and help promising connections develop into collaborations, mentorships, and partnerships.
• Develop ways for people to stay connected between major convenings and beyond their initial interactions with FAR.AI .
• Experiment with formats such as small-group discussions, virtual gatherings, curated content, and research visits.
• Identify high-impact follow-on opportunities for FAR.AI Futures to support directly and/or collaborate with other organizations in the ecosystem to take forward.

Requirements

• - Familiarity with the AI safety field. You understand its research landscape, major organizations, key people, and evolving priorities, and can engage credibly with researchers and practitioners.
• - Experience building communities or networks. You have demonstrated an ability to bring people together around shared interests or goals and create the conditions for relationships and collaborations to flourish.
• - Strong relationships and credibility. You have established trusted relationships within the AI safety community and the ability to build new ones across organizations, geographies, and areas of work.
• - Strategic judgment. You can identify high-value opportunities, recognize gaps in the field, and make sound decisions about where community-building efforts are most likely to create impact.
• - Strategic leadership and people management. You can set direction, establish priorities, delegate effectively, and help a team member grow and succeed.
• - Strong communication skills. You can synthesize what you learn from the field into clear insights, recommendations, and plans.
• - Bay Area presence. You are willing to spend meaningful time at FAR.Labs and participate in local community activities, with flexibility for travel and occasional evening events.

Preferred

• - Research experience or graduate-level training in AI safety, machine learning, computer science, or a related discipline.
• - Experience designing and running seminars, workshops, research visits, or small-group discussions that foster substantive exchange.
• - Experience working across research, industry, policy, and philanthropy, with an understanding of how these sectors can collaborate to advance AI safety.