Engagement Manager, Life Sciences

About Goodfire 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. About the role We're looking for an Engagement Manager, Life Sciences to own the success of our most important life sciences partnerships from first technical scoping through pilot execution, delivery, and expansion. This role demands scientific curiosity, operational rigor, and strong customer judgment: the ability to understand a partner's goals, coordinate a technical team, and make sure Goodfire's work translates into real impact. This is a high-ownership role where you will sit at the center of customer delivery. You will partner with Account Executives, Field Team members, engineers, researchers, and customer stakeholders to define success criteria, manage timelines, unblock execution, and turn complex technical engagements into trusted long-term relationships. Our life sciences partners are working on high-stakes problems across drug discovery, biology, clinical development, and scientific AI. You'll need to be credible with technical and scientific teams, precise about what success means, and pragmatic about how to move fast while respecting the complexity of their workflows, data, and internal decision-making. Key responsibilities Own life sciences engagements end to end: manage pilots, deployments, renewals, and expansions from scoping through delivery and measurable customer impact Translate customer goals into execution plans: clarify scientific objectives, technical requirements, success criteria, timelines, owners, and decision points Coordinate cross-functional delivery: partner with Field Team members, engineers, researchers, GTM, and customer stakeholders to keep work moving and risks visible Build trusted customer relationships: serve as the day-to-day engagement lead for technical and executive stakeholders across life sciences accounts Turn delivery into repeatable playbooks: capture learnings, identify patterns across engagements, and help shape how Goodfire serves life sciences customers at scale What you’ll bring Required experience Experience managing complex technical, scientific, or enterprise customer engagements from scoping through delivery. Strong project management and customer communication skills, with the ability to drive clarity across technical and non-technical stakeholders. Ability to learn AI/ML and life sciences concepts quickly and translate them into practical customer-facing plans. High agency, strong judgment, and comfort operating in ambiguity where the playbook is still being built Preferred qualifications Experience in engagement management, solutions, consulting, or implementation for technical products. Familiarity with pharma, biotech, computational biology, drug discovery, clinical development, or scientific research workflows. Experience working with AI/ML, data platforms, developer tools, infrastructu