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Goodfire

Goodfire

Engagement Manager, Life Sciences

Company

Goodfire

Role

Engagement Manager, Life Sciences

Job type

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Salary

Not disclosed by employer

Job description

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, infrastructure, or other deeply technical products.
  • Track record of growing strategic accounts through strong delivery, trusted relationships, and clear expansion paths

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 position in our San Francisco HQ. We are in person 5 days a week, with one company-wide remote week per month.

What we offer

This role offers market competitive salary, equity, and competitive benefits.

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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