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AnthropicAnthropic

Customer Success Manager, Beneficial Deployments - Life Sciences

Manage strategic life sciences accounts and scalable customer programs that drive adoption, optimization, and safe deployment of Anthropic’s AI products. The role requires 6+ years in customer success, technical account management, or solutions engineering, plus life sciences research experience and technical fluency.

About the job

Responsibilities

  • Build strategic relationships with research leaders, principal investigators, program directors, and IT teams across life sciences organizations.
  • Guide adoption, usage optimization, expanded use cases, and change management for Anthropic products, including the API, Claude for Enterprise, Claude Code, and Claude for Life Sciences.
  • Develop Train the Trainer programs, Centers of Excellence, playbooks, templates, and customer health metrics.
  • Design and run webinars, hackathons, build days, cohort-based onboarding, office hours, and researcher communities.
  • Guide partners through SSO, provisioning, workspace configuration, and data-handling considerations involving HIPAA, IRB, and institutional policies.
  • Quantify research productivity, time-to-insight, program effectiveness, cost savings, and mission impact; collaborate with Marketing on success stories and reference accounts.

Requirements

  • 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering.
  • 3+ years of experience in life sciences research and experience working with research institutions, biotech, pharma, foundations, or nonprofit research organizations.
  • Understanding of scientific research practices, funding, governance, industry regulations, risk, and compliance.
  • Experience supporting both consumption-based and seat-based business models.
  • Experience managing strategic accounts while delivering one-to-many customer programs.
  • Data-driven, AI-first approach to customer engagement and workflow automation.
  • Technical fluency in AI/ML concepts, API integrations, and software implementation patterns.
  • Ability to explain and demonstrate technical products to scientists, computational researchers, and institutional leaders.
  • Strategic, collaborative, and hands-on approach to identifying expansion opportunities and driving scientific impact.
  • Bachelor's degree or equivalent combination of education, training, and experience.

Nice to Have

  • Familiarity with scientific data types, research workflows, or bioinformatics tooling.

Compensation

  • Annual compensation range: $200,000–$265,000 USD. For sales roles, this range represents on-target earnings, including base salary and target commissions or bonuses.

Skills

Customer Success, Technical Account Management, Solutions Engineering, Life Sciences, AI/ML, API Integrations, Software Implementation, Change Management, SSO, Data Governance, HIPAA, Irb, Bioinformatics, Claude Code, Claude For Enterprise

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