About the role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What you’ll do
- Develop and execute strategic sales plans to drive adoption of Anthropic's AI solutions within large pharmaceutical, biotech, and medical device organizations
- Build and maintain relationships with key decision-makers at global pharma companies, specialty biotechs, and CROs across EMEA
- Partner with our HCLS Applied AI team to articulate technical capabilities and develop compelling value propositions for life sciences-specific applications
- Identify and qualify new opportunities through discovery calls, demonstrations, and collaborative problem-solving sessions
- Navigate complex enterprise buying processes within large pharma organizations, negotiate contracts, and close strategic deals
- Leverage our strategic partnerships to expand our reach in the life sciences market
- Monitor and report on sales pipeline, market trends, and competitive landscape
- Capture and communicate industry-specific requirements to inform product development
- Represent Anthropic at life sciences industry events and conferences
- Collaborate cross-functionally to ensure our solutions address pharma-specific challenges around data privacy, security, and regulatory compliance — including EU AI Act considerations and EMA guidance on AI in medicines development
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- A field relevant to the role as demonstrated through coursework, training, or professional experience
How they work
- Annual Salary: £280,000—£330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
- However, some roles may require more time in our offices.
- We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Eligibility
About the role We're seeking an experienced Enterprise Account Executive to drive adoption of Anthropic's AI solutions across the life sciences sector throughout EMEA. Responsibilities Develop and execute strategic sales plans to drive adoption of Anthropic's AI solutions within large pharmaceutical, biotech, and medical device organizations Build and maintain relationships with key decision-makers at global pharma companies, specialty biotechs, and CROs across EMEA Partner with our HCLS Applied AI team to articulate technical capabilities and develop compelling value propositions for life sciences-specific applications Identify and qualify new opportunities through discovery calls, demonstrations, and collaborative problem-solving sessions Navigate complex enterprise buying processes within large pharma organizations, negotiate contracts, and close strategic deals Leverage our strategic partnerships to expand our reach in the life sciences market Monitor and report on sales pipeline, market trends, and competitive landscape Capture and communicate industry-specific requirements to inform product development Represent Anthropic at life sciences industry events and conferences Colla
How to apply
- We encourage you to apply even if you do not believe you meet every single qualification.
About Anthropic
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