Chief of Staff
Goodfire AI· General
Hybrid (San Francisco, CA)$300k - $500kPosted 2mo ago
About the role
Chief of Staff role at Goodfire, an AI interpretability research lab in San Francisco, aimed at increasing leadership effectiveness through high-volume execution, coordination, and strategic support across recruiting, events, fundraising, planning, and internal/external communications.
Responsibilities
- High volumes of unglamorous work (e.g., follow-ups, drafting internal/external communications, recruiting coordination, logistics)
- Driving projects that don’t fit neatly elsewhere
- Wearing many hats including recruiting, hosting events, supporting fundraising, planning offsites, new customer outreach, and goals planning
- Demonstrating leadership, communication, judgment, and discretion
- Understanding AI and mechanistic interpretability at a technical level to engage in AI/product discussions and build intuition over time
- Representing the CEO and the company internally and externally
Qualifications
- Jack of all trades
- Exceptional verbal and written communication; able to produce crisp, executive-ready materials
- Strong work ethic and high output
- Strong leadership and people management experience
- Learns fast
- Preferred: Former founder or exec at high performing VC-backed startup (Series A or later)
- Preferred: Experience in fast-paced, early-stage startup environment
- Preferred: Experience with interpretability techniques and tooling for AI models
- Preferred: Strong understanding of AI and mechanistic interpretability
Skills
Required:Communication (verbal and written)Leadership and people managementFast learningProject coordinationTechnical fluency in AI / mechanistic interpretability
Benefits
- market competitive salary
- equity
- competitive benefits
Last updated Sep 15, 2026. Interested? Apply on the company site.
About Goodfire AI
Goodfire AI is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems.
AI interpretabilityresearchSilicointentional designmodel debugging
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