Customer Success Manager, Beneficial Deployments - Life Sciences at Anthropic

Hybrid - San Francisco, CA | New York City, NY

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Anthropic invites a seasoned Customer Success Manager to support the Beneficial Deployments team in Life Sciences. In this hybrid role, you will partner with research institutions, academic medical centers, and biotech firms, guiding them to maximize the value of Claude’s AI capabilities across APIs and specialized tools. Your responsibilities will include strategic account management, program design, change‑management execution, and cross‑functional collaboration to inform product strategy. The role blends 1:1 account work with broader engagement initiatives such as webinars and hackathons, fostering deep partnerships and driving adoption across the life sciences ecosystem.

Requirements

Skills

  • 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
  • 3+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress
  • Experience working directly with life sciences organizations such as academic research institutions, nonprofit research institutes, foundations, biotech, or pharma
  • Deep understanding of regulations, risk, and compliance needs of the industry
  • Experience driving success across both consumption-based and seat-based business models
  • Experience designing and delivering one-to-many customer programs (webinars, hackathons, cohort-based onboarding, user communities, or similar) alongside managing dedicated strategic accounts
  • Operate data-driven and AI-first, using adoption signals and program effectiveness to guide decisions and building agentic, Claude-powered workflows into how you engage partners
  • Technical fluency with the ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
  • Familiarity with scientific data types, research workflows, or bioinformatics tooling
  • Experience explaining and demonstrating technical products to diverse audiences, from bench scientists and computational researchers to institutional leadership
  • Strategic mindset to identify growth opportunities for expanded scientific and health impact and translate them into actionable expansion plans
  • Passion for both AI and accelerating scientific progress

Responsibilities

  • Build trusting, strategic relationships with research leaders, principal investigators, program directors, and IT teams to understand their organizational goals, scientific priorities, and impact objectives, identifying opportunities for optimization and expanded AI deployment in service of their research mission
  • Become an expert in Anthropic's products across the API, Claude for Enterprise, Claude Code, and Claude for Life Sciences (including scientific tool integrations and agent skills), understanding the technical nuances and best practices for each to guide partners to the right solutions
  • Monitor usage patterns and proactively drive adoption across your 1:1 accounts, identifying optimization opportunities and discovering new applications for Claude
  • Develop and execute change management strategies appropriate for scientific and academic organizational cultures, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects partner capacity constraints, governance requirements, and decision-making processes
  • Establish the repeatable playbooks, templates, and health metrics that define what "great" looks like for both dedicated and scaled customer success in life sciences at Anthropic
  • Design and run one-to-many engagement programs for the life sciences community, such as live and on-demand webinars, hackathons and build days, cohort-based onboarding, office hours, and researcher user communities, that move a broad set of organizations from signed to activated and extend impact beyond individual partner relationships
  • Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations relevant to research and health data (such as HIPAA, IRB, and institutional data policies), so research and IT leaders trust the deployment from day one
  • Document and quantify value realized through research productivity, time-to-insight, program effectiveness, cost savings, and mission amplification to build compelling cases for continued investment in AI, and partner with Marketing to develop success stories and reference accounts

Technologies

Anthropic APIClaude for EnterpriseClaude CodeClaude for Life SciencesSSO and provisioningWorkspace configurationHIPAAIRBAI/ML conceptsAPI integrationsSoftware implementation patterns

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