Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role I (Eric) am looking for a chief of staff. This role is incredibly intensive, and your main goal will be to make me and the leadership team more effective, however you possibly can. You will do ridiculously high volumes of unglamorous work (e.g., high volume follow-ups, drafting internal/external comms, recruiting coordination, logistics, and driving projects that don’t fit neatly anywhere else). You will wear many hats, including recruiting, hosting events, supporting fundraising, planning offsites, new customer outreach, and goals planning. You’ll need great leadership ability, communication skills, and be able to absorb new information very quickly. You’ll need excellent judgment and discretion, and the ability to represent me and the company internally and externally. You should have a technical background because you will be expected to understand and gain intuition for the latest developments in AI and mechanistic interpretability. You don’t need to be a researcher, but you should be technically fluent enough to engage deeply with AI/product discussions, learn interpretability concepts quickly, and build real intuition over time.
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Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed