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Account Executive, Life Sciences San Francisco, CA

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Goodfire
Full Time position
Listed on 2026-06-16
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Account Executive, Life Sciences New San Francisco, CA

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 Deep Mind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.

About the role

We're looking for an Account Executive, Life Sciences to create and close strategic partnerships with the teams using AI to transform drug discovery, biology, clinical development, and the broader life sciences ecosystem. This role demands consultative selling ability, technical curiosity, and domain judgment: the ability to understand how life sciences organizations are building models and where Goodfire can create concrete value.

This is a high-autonomy role where you will help define our Life Sciences go-to-market motion from the ground up. You will own strategic accounts end to end: identifying high-potential organizations, building relationships with technical and executive buyers, partnering with the Field Team to scope pilots, negotiating commercial terms, and expanding successful engagements into long-term partnerships.

Our buyers are Heads of AI, CTOs, research leaders, and technical executives inside organizations trying to use frontier models in high-stakes scientific workflows. You'll need to be thoughtful, technically curious, direct, and credible enough to earn trust with people applying AI to some of the most complex problems in the world.

Key responsibilities
  • Own strategic Life Sciences sales cycles: build pipeline, run discovery, navigate technical and executive stakeholders, negotiate agreements, and close new partnerships
  • Develop rigorous account strategy: identify where Goodfire can create value across pharma, biotech, research organizations, AI-native life sciences companies, and adjacent scientific teams
  • Translate scientific and technical needs into commercial opportunities: understand customer workflows, model development challenges, validation requirements, and internal buying dynamics
  • Partner with the Field Team: shape pilots, technical scopes, success criteria, and expansion paths that demonstrate real impact for life sciences customers
  • Bring market signal back to the company: share customer needs, objections, competitive context, and emerging use cases with product, research, marketing, and leadership
Required experience
  • Experience owning and closing complex sales cycles with technical, scientific, or research-oriented buyers.
  • Strong discovery, commercial judgment, and ability to connect a technical product to a concrete customer problem.
  • Ability to learn AI/ML and life sciences concepts quickly and communicate credibly with researchers, engineers, CTOs, Heads of AI, and scientific leaders.
  • High agency, strong written and verbal communication, and comfort operating without a fully mature sales playbook.
Preferred qualifications
  • Experience selling AI/ML, data platforms, scientific software, infrastructure, developer tools, or enterprise products into life sciences organizations.
  • Familiarity with pharma, biotech, computational biology, drug discovery, clinical development, or scientific research workflows.
  • Experience as an early AE or founding GTM hire at a high-growth startup where you helped define the sales…
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