Operations Manager

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. We’re looking for an Operations Manager who is organized and detail-oriented. As Operations Manager, you will tackle a wide range of operational challenges and will build efficient systems from the ground up. The right candidate would dramatically accelerate the growth of our company and assist in the pursuit of safer AI systems. In this role, you will: Work on the creation, implementation, and communication of operational policies and standards throughout the organization Manage technical set-up & maintenance of internal hardware and software systems Support the HR function; help manage recruiting, benefits, payroll, & compliance Lead efforts to maintain a cohesive, high-performing team culture by organizing team events, recognizing successes, and ensuring effective internal communication Develop and maintain the organization’s records & reports, including internal documentation and assessments as well as annual reports for audits Support the operational needs of new and ongoing research and projects (e.g. project promotion, data entry, expenses, etc.) Manage day-to-day office duties, such as food ordering and delivery, snacks, mail, office expansions, etc. We’re looking for someone who is great at: Developing and managing internal processes and policies that are simple and effective Working with a diverse set of team members and supporting their individual needs while maintaining efficiency for the organization Identifying and tracking the details; you’re able to design and maintain orderly systems with minimal oversight Communicating clearly; ensuring everyone is clear on systems and processes Working autonomously and thriving in a small and growing organization Implementing solutions to increase efficiency across the organization You might thrive in this role if you: Are motivated by work that is focused on AI safety and risk Have previous experience (2-4 years) doing operations in a quickly growing organization (such as tech or a start-up) Are conscientious and produce high quality work Are bothered by inefficiencies and get joy from implementing a solution Are adaptive, able to rapidly transfer to new domains while staying organized Are excited by the idea of joining a small and growing team; that kind of collaboration and problem solving drives you Are open to new ideas and feedback, honest with yourself and others; at CAIS, even when it’s slightly uncomfortable, we prioritize getting to the best answer Are energized to navigate ambiguity; creating new processes and policies is exciting to you Know someone who could be a great fit for this role? Submit their details through our Referral Form. If we end up hiring your referral, you’ll receive a $1,500 bonus once they’ve been with CAIS for 90 days. The Center for AI Safety is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, marital status, military or veteran status, or any other protected status in accordance with applicable federal, state, and local laws. In alignment with the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. If you require a reasonable accommodation during the application or interview process, please contact View email address on click.appcast.io. We value diversity and encourage individuals from all backgrounds to apply. 110000 - 150000 USD a year 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 #J-18808-Ljbffr Center for Ai Safety