Account Executive, Life Sciences (AI)

Location: San Francisco, CA; in person at the San Francisco HQ 5 days a week, with one company-wide remote week per month

Company

hirify.global is a public benefit research company developing interpretable AI systems to make models understandable, debuggable, safer, and more useful.

What you will do

• Own strategic Life Sciences sales cycles from pipeline development and discovery through negotiation, closing, and partnership expansion.
• Build account strategies across pharma, biotech, research organizations, AI-native life sciences companies, and adjacent scientific teams.
• Translate customer workflows, model development challenges, validation requirements, and buying dynamics into commercial opportunities.
• Partner with the Field Team to define pilots, technical scopes, success criteria, and expansion paths.
• Share customer needs, objections, competitive context, and emerging use cases with product, research, marketing, and leadership.

Requirements

• Experience owning and closing complex sales cycles with technical, scientific, or research-oriented buyers.
• Strong discovery and commercial judgment, with the ability to connect technical products to concrete customer problems.
• 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 working without a fully mature sales playbook.

Nice to have

• 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 Account Executive or founding go-to-market hire at a high-growth startup.
• Experience with land-and-expand motions involving pilots, technical validation, services, or platform adoption.

Culture & Benefits

• Market-competitive salary, equity, and competitive benefits.
• Mission-driven work focused on safe and beneficial AI.
• High-autonomy, fast-paced environment emphasizing ownership, initiative, continuous improvement, and action.
• Collaboration with interpretability researchers and engineers from organizations including OpenAI and DeepMind.