Community Manager (London)

Applications will be reviewed on a rolling basis. Apply here.

About the organization

MATS Research aims to find and train talented individuals for what we see as the world's most urgent and talent-constrained problem: reducing risks from advanced artificial intelligence. Our mission is to maximize the impact and development of emerging researchers through mentorship, guidance, and resources. We believe that ambitious researchers from a variety of backgrounds have the potential to contribute to the fields of AI alignment, control, security, and governance research. Through our research fellowship, we aim to provide the mentorship, financial support, and community necessary to aid this transition. Please see our website for more details.

We are generally looking for candidates who:

• Are excited to work in a fast-paced environment and are comfortable switching responsibilities and projects as the needs of MATS change;
• Are self-motivated and can take on new responsibilities within MATS over time.

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We are seeking compassionate individuals looking to apply their interpersonal skills in the field of AI alignment. As a Community Manager on the MATS team, you will help build a safe, supportive, and nurturing environment where researchers can flourish. You will work with the London Director and Community Lead to support fellow welfare, foster community connections (both within the MATS community and with aligned organizations), and enhance the MATS experience. Ideal candidates have experience in providing comprehensive emotional support, conflict resolution, and creating inclusive environments.

About The Role

This role involves supporting fellow wellbeing, organizing community events, implementing feedback systems, and addressing community health concerns. A great Community Manager builds strong relationships with fellows, anticipates community needs, and creates support systems that promote both individual wellbeing and collective flourishing.

MATS is committed to fostering an inclusive and welcoming research environment. We welcome applications from individuals with varied backgrounds, and we know that resumes and careers don't always fit a particular mold. We encourage you to apply even if your experience does not fully match the description.

Job Responsibilities

A Community Manager's primary role is to support the needs of fellows and improve the MATS community environment. This role reports to the London Director and Community Lead. As the first Community Team hire in London, key objectives will be to continue and build upon the team's work on building a supportive MATS environment and a vibrant community with aligned organizations. Specific responsibilities include:

• Building meaningful relationships with fellows through one-on-one meetings to learn about their needs, provide emotional support, talk through fellow challenges, and receive community feedback;
• Develop and execute on our London community strategy, in collaboration with the London Director and Community Lead, as the first Community hire in our London team;
• Coordinating with the Community Lead about fellow needs;
• Collaborate with Research Management and Operations teams, as needed, to support fellows;
• Supporting fellow orientation and offboarding;
• Facilitate MATS community building by organizing and supervising socials, networking events, and workshops (for example, hosting board game nights, 1-on-1 speed networking, remote fellow events, lightning talks, and more);
• Help improve the program based on fellow feedback;
• Proactively identifying community health concerns and coordinating with appropriate team members to address them, connecting fellows with appropriate resources;
• Support our engagement with the broader AI alignment and security community, deepening relationships with other organizations and facilitating collaboration with MATS fellows.

Qualifications:

• 2-5 years experience across a combination of the following:
  • Community building (with focus on relationship building)
  • People management
  • Events management
  • Counselling
• Autonomy and proactivity;
• Strong interpersonal skills (e.g., patience, active listening);
• Strong communication skills;
• High cognitive empathy;
• Knowledge of emotional regulation tools;
• Comfortable working with private and confidential information;
• Experience providing emotional support and mediating conflicts;
• Able to function in urgent and/or high-stakes situations, if necessary;
• Mission alignment (no pun intended!): We're working to ensure AI systems remain beneficial and aligned with human values. You don't need to be an expert, but we'd love it if you have a desire to learn more.

Nice to haves:

We expect the most competitive applicants to have one or more of the following:

• Experience and/or training in coaching, counseling, and mentoring;
• Experience with event planning, especially in a community building context;
• Experience setting community policies, for example in an HR function;
• Some data analysis skills are a plus, but not required;
• Some knowledge of (or willingness to learn about) AI safety-specific concerns that sometimes bear on community health (e.g. potential consequences of transformative AI as described in this video).

What We Offer

• Opportunity to help accelerate and launch the careers of highly talented early-career AI Safety researchers
• Professional development and skill enhancement opportunities, including training and attending industry and professionally-relevant conferences
• Opportunity for occasional hybrid work.
• Work in a small team and take on responsibility and initiatives
• Collaborative and intellectually stimulating work environment
• Access to our office spaces in London, Berkeley, and other partnered office spaces
• Private medical insurance, including dental and vision
• Lunch and dinner provided Monday-Friday

Visa sponsorship may be possible but is not guaranteed; we encourage all interested candidates to apply!

Compensation

Compensation will be £55,000 - £90,000 annually, depending on qualifications and experience.

Working hours and location

40 hours per week. Successful candidates can expect to spend most of their time working in-person from our Central Street, London office.

How to apply

Please fill out the form here. If you use an LLM chatbot or other AI tools in this application, please follow these norms. Applications will be reviewed on a rolling basis.

MATS is committed to fostering a diverse and inclusive work environment at the forefront of our field. We encourage applications from individuals of all backgrounds and experiences.

Join us in shaping the future of AI safety & security research!