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Account Executive, Life Sciences

Goodfire AI· GTM
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Hybrid (San Francisco, CA)Posted 3mo ago

About the role

Account Executive role to create and close strategic partnerships with teams using AI to transform drug discovery, biology, clinical development, and the broader life sciences ecosystem. High-autonomy role to define Life Sciences go-to-market from the ground up and own strategic accounts end to end.

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

Qualifications

  • 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.

Skills

Required:Sales cycle managementDiscovery and qualificationTechnical learning ability
Last updated Sep 15, 2026. Interested? Apply on the company site.

About Goodfire AI

Goodfire AI is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems.

AI interpretabilityresearchSilicointentional designmodel debugging
Company profileWebsite

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