Enterprise Account Executive, Life Sciences
Own strategic enterprise accounts across pharmaceutical, biotechnology, and research organizations, driving adoption and revenue for Anthropic’s AI platform. The role requires 5+ years of life sciences enterprise sales experience, complex technical deal expertise, and C-suite credibility.
About the job
Responsibilities
- Own and grow a portfolio of strategic accounts across pharmaceutical, biotechnology, and research organizations while exceeding an individual revenue target.
- Build relationships with C-level and senior technical stakeholders, develop business cases and value narratives, and navigate procurement, security, regulatory, and legal reviews through production deployment and expansion.
- Identify high-potential opportunities and execute account plans that convert strategic relationships into revenue.
- Maintain disciplined pipeline management, forecasting, deal inspection, and next-step planning across complex, long-cycle opportunities.
- Partner with Applied AI, Solutions Architecture, and Product to design solutions, demonstrate value, and translate life sciences needs into product and roadmap input.
- Capture winning use cases, proof points, and customer references with Marketing and Enablement.
- Coordinate with Customer Success, Legal, Partnerships, cloud partners, and other stakeholders to deliver customer outcomes and represent the company at industry events.
Requirements
- 5+ years of enterprise sales experience in life sciences, with success covering biotechnology, pharmaceutical, and research organizations.
- Proven quota-carrying and quota-exceeding performance selling technical, complex products such as API platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS.
- Experience winning and expanding strategic enterprise accounts and building C-suite relationships in life sciences.
- Strong operational rigor across complex, multi-stakeholder sales cycles, including accurate forecasting.
- Credibility with technical buyers and builders, including CIOs, CTOs, CDOs, and Heads of AI/ML.
- Ability to collaborate effectively with solutions architects and applied AI teams.
- Interest in responsible AI and alignment with the mission of building safe, beneficial AI.
- Bachelor's degree or equivalent combination of education, training, and experience in a relevant field.
Nice-to-haves
- Experience selling generative AI, LLM-based products, or other emerging platform technologies to pharmaceutical or biotechnology companies.
- Familiarity with regulated-industry selling, including GxP compliance, data governance, regulatory procurement, security review, and pharma/biotech governance.
- Experience selling with or through AWS, Google Cloud, and global systems integrators.
- Familiarity with consumption- or usage-based commercial models and value-based pricing.
- Experience navigating 12+ month enterprise sales cycles in biopharma R&D and drug development procurement.
Compensation
- Annual on-target earnings compensation range: $290,000–$450,000 USD, including base salary and target sales commissions/bonuses.
Skills
Enterprise Sales, Life Sciences, Pharmaceuticals, Biotechnology, Enterprise Saas, Api Platforms, Cloud Infrastructure, Data Platforms, Machine Learning, Generative AI, LLMs, Gxp Compliance, Data Governance, AWS, GCP
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