Strategic Account Executive, Life Sciences

About the role

As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to life sciences organizations. You'll drive the adoption of safe, frontier AI by securing strategic deals with pharmaceutical companies, biotechnology firms, and research organizations across the life sciences industry. You'll leverage your consultative sales expertise in life sciences to propel revenue growth while becoming a trusted partner to industry stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with life sciences decision-makers. The ideal candidate will have a passion for developing new market segments within pharmaceutical, biotechnology, and research organizations, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help life sciences enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities

• Spearhead market expansion by identifying new use cases within research departments, clinical development teams, regulatory affairs, medical affairs, and commercial organizations. Collaborate cross-functionally to differentiate our offerings for life sciences applications.
• Inform product roadmaps and features by gathering feedback from life sciences users including researchers, scientists, regulatory professionals, and commercial leaders, conveying market needs. Provide insights that strengthen our value proposition for life sciences organizations.
• Continuously refine the life sciences sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across pharmaceutical, biotech, and research organizations.
• You may be a good fit if you have
• 5+ years of enterprise sales experience in life sciences, with demonstrated success covering pharmaceutical companies, biotechnology firms, and/or research organizations
• A track record of managing complex sales cycles within life sciences organizations and securing strategic deals by understanding both technical requirements and scientific/regulatory use cases
• Extensive experience negotiating complex agreements within life sciences procurement frameworks, including understanding of R&D budget cycles and compliance requirements
• Proven experience exceeding revenue targets in the life sciences sector by effectively managing an evolving pipeline and sales process
• Excellent communication skills and the ability to present confidently to various life sciences audiences, from researchers and scientists to R&D leadership and C-suite executives
• Deep understanding of life sciences buying cycles, decision-making processes, and key pain points across pharmaceutical, biotech, and research organizations
• A strategic, analytical approach to assessing the life sciences market combined with creative, tactical execution to capture opportunities
• A passion for and/or experience with advanced AI systems and their applications in life sciences. You feel strongly about ensuring frontier AI systems are developed safely and ethically for scientific and clinical applications
• Ability to develop and refine life sciences use cases for AI in collaboration with customers and channel partners, with particular focus on drug discovery, clinical development, regulatory submissions, and commercial operations
• The annual compensation range for this role is listed below.
• For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual bas

Benefits

Additional Information

About Anthropic 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.

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