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Anthropic is seeking a Strategic Account Executive specializing in Life Sciences to drive enterprise adoption of its frontier AI platform across pharmaceutical, biotechnology, and research organizations. In this role, you will own a strategic book of high-value accounts and carry an individual revenue target, engaging directly with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) to build business cases and navigate complex procurement, security, regulatory, and legal reviews through to production deployment.
Key responsibilities include identifying and prioritizing high-potential opportunities within accounts, building disciplined pipelines with accurate forecasting, and partnering closely with Applied AI, Solutions Architecture, and Product teams to design solutions tailored to life sciences-specific needs in R&D, clinical development, and commercial workflows. You will codify winning use cases and proof points, working with Marketing and Enablement to scale them across the broader life sciences motion. Additionally, you will orchestrate cross-functional efforts with Customer Success, Legal, Partnerships, and cloud partners to deliver seamless customer experiences and represent Anthropic as a trusted voice with customers and at industry events.
The ideal candidate brings 5+ years of enterprise sales experience in life sciences, with a proven track record of carrying and exceeding quota selling technical, complex products such as API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS. You should have demonstrated success winning and growing strategic enterprise accounts within pharmaceutical, biotechnology, or research organizations, with credibility among technical buyers and builders. Experience with regulated-industry selling (GxP compliance, data governance, regulatory procurement, security review) is highly valued, as is familiarity with bringing generative AI or LLM-based products to large pharma/biotech companies. You should be comfortable navigating long, multi-stakeholder enterprise cycles typical of biopharma R&D procurement and have genuine interest in deploying AI responsibly.
