Applied AI Lead
About The Position
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. We’re looking for an Applied AI Lead to own and scale a vertical. This role demands an unusual range: the technical depth to architect novel solutions, the leadership to direct a team of engineers and research scientists, the emotional intelligence to form successful partner relationships, and the vision to launch a new market. You will operate like a founder: translating our research into solutions and products, defining the market, and proving product-market fit. That means owning what we build, sell, and deliver, leading a forward-deployed team to create solutions, and managing partner relationships end to end: from scoping and sale through delivery and expansion. This role turns frontier research into real-world impact, allowing our advances in the science of interpretability to unlock the promise of safe and powerful AI.
Requirements
- Experience as a founder, product manager, engineering manager, or general manager.
- Track record of excellence in a high growth startup.
- Strong technical fluency with a proven track record of working effectively with engineers.
- Experience leading cross-functional, technical teams.
- Strong understanding of modern AI technology.
- Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist “can-do” mindset.
Nice To Haves
- Technical degree or equivalent professional experience as a Machine Learning Engineer or research engineer
- Experience as a founder or early stage employee at a startup.
- Experience working with frontier or open source models.
- Understanding of post-training techniques.
Responsibilities
- Build and scale a vertical: prove product-market fit, define solutions, win new prospects, and drive sustained growth
- Own technical delivery: direct what we build and ensure it solves real problems for partners
- Manage partnerships end-to-end: from initial scoping and sale, to delivering value and demonstrating impact, to securing renewals and expanding accounts
- Lead a forward-deployed team of engineers and research scientists to deliver technical solutions
- Shape new products and solutions: translate frontier interpretability research into repeatable products, platforms, or services that our deeply technical partners (Heads of AI, Heads of Research, CIOs) will want to buy
Benefits
- This role offers market competitive salary, equity, and competitive benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
