How to apply for Enterprise Account Executive

About Elicit

Elicit is a public benefit company building an AI research assistant that uses language models to help researchers determine what is true and make better decisions. Its product is a scalable ML system focused on systematicity and transparency, supervising process rather than outcomes, and it is used by hundreds of thousands of researchers in biomedicine, health economics, and computer science. The company has reached strong product-market fit and now sees significant inbound interest from leading research-driven enterprises.

About the role

As an Enterprise Account Executive, you will own and close enterprise deals across the full sales cycle, from discovery through demo, proposal, negotiation, and signature. You will run consultative sales processes, mapping complex research workflows and co-developing solutions with researchers, scientists, and executives. You will partner directly with the founders and product team to shape strategy and build playbooks for landing and expanding in life sciences, biotech, and pharma.

A typical day

You might start by reviewing inbound interest from research-driven enterprises and prioritizing key opportunities. Later, you could run a discovery call with researchers and executives, then work with the founders or product team to tailor a demo or proposal. The day may end with updating deal notes and planning next steps for negotiation or expansion.

Who Elicit is looking for

• Has a track record of closing high-value enterprise deals in complex environments such as life sciences, biotech, or pharma.
• Can run consultative sales processes: mapping research workflows, uncovering pain points, and co-developing solutions with technical and executive stakeholders.
• Can translate AI capabilities into tangible business and research value for researchers, scientists, and executives.
• Is comfortable working directly with founders and product teams to craft strategy and build sales playbooks in a new category.

Tips for this application

• In your application, describe specific enterprise deals you have closed in life sciences, biotech, or pharma, including deal size and complexity.
• Explain how you have mapped complex research workflows and co-developed solutions with researchers, scientists, and executives.
• Show how you have translated AI or technical capabilities into business and research value for non-technical buyers.
• Mention any experience partnering with founders or product teams to build sales strategy or playbooks.
• State clearly that you are based in the US and can work remotely, since the role is Remote (US).

What to cover in your cover letter

['Your experience closing full-cycle enterprise deals in research-driven industries like life sciences, biotech, or pharma.', 'A concrete example of running a consultative sales process that mapped research workflows and uncovered pain points.', 'How you have translated AI or technical capabilities into tangible business and research value.', 'Your interest in working with founders and product to shape strategy and build playbooks at the intersection of AI and science.']

Research before applying

• Use Elicit's product to understand how its AI research assistant works and what it does for researchers.
• Read Elicit's public benefit company structure and its stated focus on systematicity, transparency, and supervising process rather than outcomes.
• Research the company's current enterprise inbound interest and any public information about its work in biomedicine, health economics, and computer science.
• Look for public statements or posts from Elicit's founders about their strategy for enterprise and high-stakes scientific work.

Likely interview topics

Based on the job description, expect questions about:

• Walk through a complex enterprise deal you closed from discovery to signature, including how you navigated multiple stakeholders.
• How would you map a research workflow at a large pharma or biotech company to identify pain points Elicit can solve?
• How do you translate AI capabilities into business and research value for researchers, scientists, and executives?
• Describe a time you partnered with founders or product teams to build a sales playbook or strategy.
• Why do you want to sell an AI research assistant, and how would you approach the life sciences, biotech, and pharma market?

Common mistakes to avoid

• Submitting a generic sales resume that does not mention life sciences, biotech, pharma, or research workflows.
• Focusing only on quota numbers without explaining how you ran consultative, multi-stakeholder enterprise deals.
• Ignoring the AI and research context; not showing how you would translate technical capabilities into value for researchers and executives.