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Anthropic

Builds Claude AI models with a focus on safety

Strategic Account Executive - Life Sciences

Account ExecutiveConfirmed live in the last 24 hours
Full-time$290k - $450k /yr

About the Job

Requirements

  • At least five years of enterprise sales experience in life sciences, with demonstrated success covering biotechnology, pharmaceutical, and research organizations.
  • A track record of carrying and exceeding quota in enterprise sales of technical, complex products such as API-first platforms, cloud infrastructure, data or machine-learning platforms, or enterprise software as a service.
  • Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within pharmaceutical, biotechnology, or research organizations.
  • Operational rigor across complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments.
  • Credibility with technical buyers and builders, including CIOs, CTOs, CDOs, and Heads of AI or machine learning, and experience pairing effectively with solutions architects and applied AI teams.
  • A genuine interest in deploying AI responsibly and motivation to advance the mission of building safe, beneficial AI.
  • A bachelor's degree or an equivalent combination of education, training, and/or experience; a field relevant to the role as demonstrated through coursework, training, or professional experience.

Responsibilities

  • Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target.
  • Engage personally with C-level and senior technical stakeholders, including CIOs, CTOs, Heads of R&D, and Heads of Data or AI, building business cases and value narratives and navigating complex procurement, security, regulatory, and legal review through production deployment and expansion.
  • Identify and prioritize high-potential opportunities within accounts, building and executing account plans that turn strategic relationships into committed revenue.
  • Run a disciplined pipeline and forecasting cadence, including accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business.
  • Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs in R&D, clinical development, and commercial work into product and roadmap input.
  • Codify winning use cases, proof points, and reference stories from deals, partnering with Marketing and Enablement to help scale them across the broader life sciences sales motion.
  • Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent the company as a visible, trusted voice with customers and at industry events.

Desired Qualifications

  • Experience bringing generative AI or large language model-based products, or other emerging platform technologies, to large pharmaceutical or biotechnology companies.
  • Deep familiarity with regulated-industry selling, including GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and governance expectations of pharmaceutical and biotechnology organizations.
  • Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators.
  • Familiarity with consumption- or usage-based commercial models and value-based pricing conversations.
  • Experience navigating long, multi-stakeholder enterprise cycles of 12 months or more, typical of biopharma R&D and drug development procurement.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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