Chief of Staff / Program Operations (Public Engagement)

Center for AI SafetySan Francisco, CA
1d$90,000 - $150,000

About The Position

The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI. We address AI’s toughest challenges through technical research, field-building initiatives, and policy engagement, along with our sister organization in DC, Center for AI Safety Action Fund. Public awareness remains the single biggest bottleneck in AI safety. Fortunately, the public's interest in AI safety is growing extremely quickly. Videos, articles, and social posts about AI safety are now reaching millions, and public curiosity is compounding by the week. CAIS is building a public engagement team to harness this surge in public interest and maximize the amount of attention that AI safety receives. We're hiring a Chief of Staff / Program Operations to support our Head of Public Engagement. This role will be the operational backbone of the Public Engagement team. You will turn strategy into shipped output—running calendars, workflows, vendors, and metrics so creative and leadership can focus on quality and judgment. You will report to the Head of Public Engagement.

Requirements

  • 5–10 years in program management or chief-of-staff roles
  • Strong operational instincts and systems thinking
  • Excellent written and verbal communication
  • High reliability and bias toward execution

Responsibilities

  • Own editorial calendar and cross-channel planning
  • Build dashboards and track performance metrics
  • Manage review workflows and approval processes
  • Coordinate contractors and production vendors
  • Run weekly planning meetings and quarterly roadmaps
  • Identify bottlenecks and increase throughput

Benefits

  • Health insurance for you and your dependents
  • 401K plan + 4% matching
  • Unlimited PTO
  • Lunch and dinner at the office
  • Annual Professional Development Stipend
  • Access to some of the top talent working on technical and conceptual research in AI safety
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