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Goodfire

Public-benefit AI interpretability lab building models

Head of Recruiting

Generalist Recruiting +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Ability to build and scale recruiting systems and teams in a high-intensity environment.
  • Ability to partner with founders and technical leaders to establish and uphold a high hiring bar.
  • Ability to identify and reach exceptional AI researchers and engineers.
  • Ability to move with urgency while representing company culture and delivering an exceptional candidate experience.

Responsibilities

  • Own Goodfire’s hiring strategy and execution across all functions.
  • Build a sourcing engine that maps and reaches the strongest researchers and engineers before they are on the market.
  • Own the interview process end to end.
  • Define and defend the hiring bar in partnership with founders and technical leaders.
  • Own recruiting data and forecasting, including pipeline health, conversion, time-to-close, and the headcount plan behind them.
  • Own candidate experience and how Goodfire presents itself to the market, from first outreach to signed offer.
  • Hire and lead a recruiting team while remaining deeply hands-on in the recruiting funnel.

About the Company

Goodfire

Public-benefit AI interpretability lab building models

Goodfire is a public-benefit AI interpretability lab in San Francisco that provides a model-design environment to understand, edit, debug, and monitor foundation models rather than treating them as black boxes. Its platform lets teams inspect model decisions, apply interpretability-informed training to reduce errors, and test and monitor changes across deployments. It differentiates itself through its public-benefit mission, collaborations with Arc Institute, Mayo Clinic, and Microsoft, and leadership with researchers, having halved LLM hallucinations and reverse-engineered a biological model to identify Alzheimer's biomarkers. Its goal is to make foundation models safer, more understandable, and easier to manage at scale by promoting transparency and accountability in AI development and deployment.

Company size
51-200
Company stage
Series B
Total funding
$207M
Headquarters
San Francisco, CA
Founded
2024

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