AI Hiring Index

Goodfire · Research · Lead / Manager · Posted 2026-07-16

Research Lead, Training

Goodfire · San Francisco, CA · $400k–600k base

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About Goodfire

Goodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.

We believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.

Goodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.

About the role

We're hiring a Research Lead, Training to lead Goodfire's model training organization and define the research agenda behind how we train more capable, aligned, and interpretable AI systems, including exploring the research frontier of intentional design .

We’re looking for a senior research leader who can drive model training today while exploring the next generation of training methods, from interpretability-informed approaches to entirely new paradigms. You'll build, mentor, and grow a world-class team of researchers, set technical direction, and partner closely with scientific leadership to turn ambitious ideas into production systems and lasting research breakthroughs.

Key responsibilities:

Lead Goodfire’s training organization and manage a high-performing team from day one

Set direction for model training as Goodfire develops and deploys its own models

Drive execution on post-training and model improvement work, with accountability for shipping high-quality training outcomes

Define and lead a research agenda in intentional design, interpretability-informed training, and alignment

Partner with our Chief Scientist to shape priorities, balance research and delivery, and translate strategy into execution

Build the team over time, including hiring, mentoring, and creating strong technical and managerial foundations

What you’ll bring

Required experience and qualifications

Experience leading post-training, model training, or closely related efforts in a frontier AI environment

Track record of owning ambitious technical programs that combine research depth with executional rigor

Experience managing teams and operating effectively in fast-moving, high-expectation environments

Strong judgment on how to balance longer-term research bets with near-term product or model delivery

Interest in intentional design, alignment, and interpretability-informed training

Ability to work closely with senior scientific leadership while also independently setting direction and driving outcomes

Our values

Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

Put mission and team first

All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

Improve constantly

We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.

Take ownership and initiative

There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.

Action today

We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.

Where we work

We are hiring for this po …

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