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Talent Mobilization Program Coordinator

Constellation Institute

  • Berkeley, California
  • 3 days ago

    Highlights

    We believe this is the strongest and highest-output network of AI safety researchers in the world; dozens of participants in past Constellation programs have gone on to safety-focused roles at companies such as METR, Redwood Research, Anthropic, Google DeepMind, OpenAI, and the US and UK Safety Institutes. Contribute to the design of new programs and pilots, and work with the rest of the Mobilization team to identify talent gaps and turn early ideas into defined programs.

    Numbers & Facts

    LocationBerkeley, California

    Description

    About Constellation


    Constellation is an independent research center that brings together people throughout the AI safety ecosystem to accelerate insight, research, and talent through better cooperation. Unlike a conference or summit, Constellation operates continuously, in the form of a physical workspace as well as conference-style talks, workshops, and training bootcamps. Continuous operation allows for relationships and conversations to develop over time, meaningfully fostering trust, collaboration, and shared insight. It also makes Constellation a natural field-building hub by rapidly inspiring, orienting, and connecting people who are newer to the field.

    Based in Berkeley, CA, our shared workspace hosts over 200 people per week across dozens of AI safety organizations in nonprofits, academia, industry, and government. Hundreds of other researchers spend time at Constellation for shorter visits each year. We believe this is the strongest and highest-output network of AI safety researchers in the world; dozens of participants in past Constellation programs have gone on to safety-focused roles at companies such as METR, Redwood Research, Anthropic, Google DeepMind, OpenAI, and the US and UK Safety Institutes.

    About the role


    As Program Coordinator on the Mobilization team, you'll develop a deep understanding of how people enter and grow within the AI safety ecosystem, learn to identify talent gaps across the field (i.e. Which roles are organizations struggling to fill? Which strategic hires would massively scale an organization’s impact?), and help design and deliver the programs that support those pathways. 

    You'll work closely with other Mobilization team members, as well as other Constellation teams, program participants, and partners across the ecosystem (e.g. BlueDot Impact, Redwood Research, etc). You'll start with a focused set of projects and responsibilities, and grow into greater autonomy as you demonstrate impact. This is a young team, and you’ll help shape how it evolves over time. 

    This role is perfect for someone energized by the talent and career development space, genuinely curious about what makes career transitions succeed, and excited to build foundational program management skills while contributing directly to the AI safety talent pipeline.

    Key responsibilities


    Program Support

    • Support existing programs through preparation and execution.
    • Contribute to the design of new programs and pilots, and work with the rest of the Mobilization team to identify talent gaps and turn early ideas into defined programs.

    Talent Experience & Insights

    • Gather structured feedback to understand what's working and where talent experiences friction in the AI safety ecosystem.
    • Design and iterate on workflows, communications, and key touchpoints based on what you learn.
    • Identify and help document findings, surface patterns, and make recommendations for experience improvements.

    Systems & Tracking

    • Build and maintain operational systems that keep mobilization efforts running including databases, workflows, and tracking tools (e.g., Airtable, Asana).
    • Support data entry, reporting, and process documentation with input from various stakeholders.
    • Identify processes that aren't working and have a clear path to raising and testing improvements. 

    Skills & experience


    You may be a good fit if:
    • You are organized and detail-oriented; you close loops, track follow-ups, and don't let things fall through the cracks.
    • You communicate clearly and warmly with a wide range of people, from early-career operators to senior researchers.
    • You are eager to learn in a fast-moving, mission-driven environment and ask good questions when uncertain.
    • You think in systems but stay grounded in execution; you don't lose the thread on details.
    • You are energized by the prospect of building something from scratch in a field that's still taking shape.
    • You think AI might have transformative effects in the coming years and want to help build the infrastructure to navigate that well.

    Bonus experience:
    • Background in program coordination, nonprofit operations, headhunting, or community management
    • Familiarity with tools like Airtable, Asana, or similar
    • Exposure to the AI safety, ML research, or EA communities

    Additional Information


    This is a full time, on-site role. Our Berkeley office is a few steps from the nearest BART (metro) and bus stop. On-site parking is also available.

    The ideal candidate for this role will have some combination of the skills and experiences described above. If you are not sure if you are qualified, we strongly encourage you to apply anyway. Beyond the qualifications outlined, our priority is building a team that will help humanity safely navigate the development of transformative AI. If you would be excited to do this work, we’d love to consider you.

    We value diversity in all respects and base our hiring decisions on the needs of the organization and individual qualifications. We welcome applicants from all backgrounds, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age or disability.

    How to Apply

    Submit your resume and answer the application questions. We may use AI to assist in the initial screening of applications, including to detect whether candidates have used AI models in drafting their application. Final hiring decisions are always made by a human in our team.

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