Program Officer, AI Resources

Responsibilities

• Do research on what the AI resources portfolio should look like and which actions to take now (thinking through potential compute crunches, counterparty risks, and market scenarios) and help shape the team’s strategy.
• Help figure out how to scale AI resources to grantees, within the Foundation itself, and for what this means for the future of philanthropy: how every part of AI resilience (biosecurity, model safety, cybersecurity, and more) can benefit from and be uplifted by AI.
• Conduct research that informs program strategy: where returns to AI resources are highest, where diminishing returns set in, what grantees actually demand, what it takes for organizations to absorb more AI resources, and whether providing AI resources directly creates more value than cash.
• Support grantmaking end to end (sourcing, diligence, and getting resources into grantees’ hands) including grant investigations.
• Help identify the projects and organizations that should exist in this space, and support finding or developing the people to build them.
• Work closely with the broader AI Resilience team on the wider set of issues across biosecurity, cybersecurity, model safety, and more, and find where AI Resources can support.

Skillset

• Are a doer with generalist range: high execution, comfortable with ambiguity and context-switching, and able to move between operations, grantmaking, research, and strategy without dropping quality.
• Follow frontier AI capabilities and risks closely enough to have independent judgment about them and can translate that judgment for grantees, providers, and internal stakeholders.
• Take the AGI trajectory seriously, including short timelines and the possibility of recursive self-improvement, and have a view on where AI is going: your own takes on how capabilities will develop, a model of the role AI systems will play in future worlds and how compute will power them, and a grasp of the team’s core hypothesis: that increasingly capable AI can be directed at the challenges it creates.
• Are fluent in the technical layers (data centers, compute, AI models, and infrastructure in general) with enough compute literacy to sanity-check a cluster or token request.
• Have deep familiarity with the AI resilience, safety, and security ecosystem, ideally with an existing network.
• Are AI-native: you use AI tools by default and look for ways to automate and compress routine work.
• Are deeply mission-aligned and excited to help ensure AGI benefits all of humanity.