The Role
Own and deliver scoped talent programs to place people into AI safety roles. Design pilots, coordinate partners, support fellow placements, manage operational systems, and improve sourcing/assessment/placement processes. Build relationships with hiring organizations and iterate program operations to increase impact.
Summary Generated by Built In
About Constellation
Key responsibilities
Program & Event Design
Partner Coordination
Talent Placement Support
Systems & Process Improvement
Skills & experience
How to Apply
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 roleAs a Program Manager on the Talent Mobilization team, you'll own scoped programs and workstreams that help get the right talent into AI safety roles. You'll work closely with the Program Coordinator, Program Managers on other programs teams (i.e. Research Programs, Convening), fellows, and partners across the ecosystem.
This is a role for someone who can deliver independently on moderate-complexity work, take ownership of programs from start to finish, and build trusted relationships across a range of stakeholders. You'll notice things that aren't working and have a clear path to raising and testing improvements. Overall, you'll have a defined scope with growing autonomy as you demonstrate impact, and you'll contribute to shaping how the team 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.
These are the functions we've identified so far, but we expect the right person to come in, spot gaps we've missed, and make this role their own.
Conduct exploratory conversations with hiring managers and stakeholders across the field to identify neglected talent gaps. Establish a clear theory of change and design pilot programs to fill those gaps. Work with the Program Coordinators and other Constellation teams to establish clear ownership and execute the program from start to finish.
Coordinate with field-building organizations (e.g., 80,000 Hours, BlueDot) on shared logistics and initiatives. Build familiarity with hiring organizations' needs and surface relevant placement opportunities.
Support placement of fellows and other talent into roles across the AI safety ecosystem — full-time, contract, advisory, and project-based. Help individuals understand their options, facilitate warm introductions to hiring organizations, and coordinate hand-offs.
Manage operational systems (tracking, documentation, workflows) within established tooling. Identify recurring process gaps and propose practical solutions. Contribute to building repeatable processes across sourcing, assessment, and placement.
Roles will also flex based on individual strengths and experience. For example, one program manager might focus primarily on placement and matchmaking rather than designing new programs. What matters is that responsibilities are clearly scoped and owned, not that every person in a given role does exactly the same work.
You might be a good fit if:
- You have 2–5 years of experience in program management, consulting, talent, or a related field
- You can own work from start to finish with some supervision; you seek input on high-stakes decisions but operate independently on day-to-day execution
- You have strong interpersonal judgment and can build trust quickly across a wide range of people and contexts
- You think in systems but stay grounded in execution; you don't lose the thread on details
- You can communicate clearly and warmly, from early-career fellows to senior researchers
- You think AI might have transformative effects in the coming years and want to help build the infrastructure to navigate that well
Bonus experience:
- Familiarity with the AI safety, EA, or research communities
- Experience with career advising, talent assessment, or placement
- Background in user research or program evaluation
- Familiarity with tools like Airtable, Asana, or similar
The base pay range for this role is $130,000 – $155,000 per year.
Our benefits are hard to beat! They include:
- Healthy lunches and dinners catered by our amazing kitchen team
- Unlimited snacks & drinks
- Generous vacation policy
- 401(k) with employer match
- Employer-paid commuter benefits
- High-quality health, dental, and vision insurance
- Friendly and supportive team
- Regular interaction with AI safety researchers and thought leaders
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.
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.
Skills Required
- 2-5 years of experience in program management, consulting, talent, or a related field
- Ability to own work from start to finish with some supervision and operate independently on day-to-day execution
- Strong interpersonal judgment and ability to build trust quickly across diverse stakeholders
- Systems thinking combined with attention to execution and detail
- Clear, warm communication with early-career fellows through senior researchers
- Ability to manage operational systems (tracking, documentation, workflows) within established tooling
- Ability to work full-time, on-site in Berkeley, CA
- Familiarity with the AI safety, EA, or research communities
- Experience with career advising, talent assessment, or placement
- Background in user research or program evaluation
- Familiarity with tools like Airtable, Asana, or similar
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The Company
What We Do
Constellation Institute is a non-profit independent research center dedicated to ensuring transformative AI is developed, deployed, and governed safely. It accelerates progress in AI safety by fostering collaboration across the ecosystem, bringing together experts from nonprofits, academia, industry, and government. Through its Berkeley-based research center and curated programs, it provides the infrastructure and talent development needed to navigate advanced AI risks.
