Enterprise Account Executive - Life Sciences
Apply at source. Anthropic handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.
What the team is looking for.
We're seeking an experienced Enterprise Account Executive to drive adoption of Anthropic's AI solutions across the life sciences sector throughout EMEA. In this role, you'll leverage your deep understanding of the pharmaceutical and biotech ecosystem to help organizations accelerate drug discovery, optimize clinical operations, and bring treatments to patients faster through responsible AI implementation.
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
- 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
Requirements
- 8+ years of enterprise sales experience within the EMEA market, with at least 5 years selling technology solutions into large pharmaceutical, biotech, or medical device companies
- Proven track record of exceeding quota and closing complex enterprise deals with global pharma or specialty biotech organizations
- Deep understanding of life sciences industry dynamics, including R&D workflows, clinical development, drug commercialization, regulatory affairs, and digital transformation initiatives
- Experience navigating lengthy procurement cycles and multi-stakeholder decision processes within large, matrixed pharma organizations
- Established relationships with senior executives across R&D, IT, and commercial functions at major pharmaceutical and biotech companies
- Ability to translate technical AI capabilities into business value and ROI in a life sciences context
- Experience collaborating with technical teams to develop tailored solutions
- Excellent communication and presentation skills, with the ability to engage credibly with both scientific and business audiences
Logistics
- Annual Salary: £280,000-£330,000 GBP
- 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
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
- Visa sponsorship: We do sponsor visas
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
- enterprise sales
- life sciences industry dynamics
- AI solutions
- strategic partnerships
- regulatory compliance
- pharmaceutical industry
- biotech industry
- medical device industry
- sales leadership
Other roles you might consider.
Filtered through the same AI-companies allowlist.
Regional Client Partner, Ads Solutions
OpenAI
Customer Success Manager - Ads Solutions
OpenAI
Regional Client Partner, Ads Solutions
OpenAI
Regional Client Partner, Ads Solutions
OpenAI
Customer Success Manager - Ads Solutions
OpenAI
Adoption Strategist - LATAM
ElevenLabs
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.