ANZ Segment & GTM Strategy Manager - Legal AI (Large & Mid-Law Segment)
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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.
We're hiring a Senior Counsel to be Goodfire's first in-house lawyer. You'll build the legal foundation of our company, wear a ton of hats, and be the person who defines our approach to interpretability and AI security contracts and regulations.
You'll need a strong understanding of AI security and interpretability to inform your decisions on licensing, data rights, and regulation that are critical to our business. These are rapidly changing fields with minimal established playbooks, and you'll be leading the way in figuring it out.
You'll own everything under the legal umbrella (e.g., contract negotiations, employment agreements, fundraising, board matters). You must be comfortable being the only lawyer in the room, and humble enough to handle both the decisions that will define our business and the unglamorous work that comes with building something from scratch.
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.
We are hiring for this position in our San Francisco office who’d be onsite 5 days a week.
This role offers market competitive salary, equity, and competitive benefits.
The expected salary range for this position is $200,000 to $400,000.
This role reports to our CEO.
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.
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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.
298 more Business Operations roles in San Francisco
143K – 256K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 76 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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