Customer Success Manager, Beneficial Deployments - Life Sciences

Job Application for Customer Success Manager, Beneficial Deployments - Life Sciences at Anthropic

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About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Join Anthropic as a Customer Success Manager supporting our Beneficial Deployments team's initiatives in Life Sciences. As a Customer Success Manager for Life Sciences, you’ll be a strategic partner and trusted advisor to the world's leading organizations working to accelerate scientific discovery. You will help them harness the full potential of Claude's capabilities across the API, Claude for Enterprise, Claude Code, and Claude Science to accelerate their scientific work.

This is a hybrid role that blends deep 1:1 account management with scaled, one-to-many programs. You'll own a portfolio of named strategic accounts, such as research institutes, academic medical centers, scientific foundations, and mission-driven biotech, where you'll build genuine partnerships grounded in a deep understanding of their research mission, scientific objectives, programmatic goals, and technical capacity. You will help these organizations scale their usage effectively drive model and use case optimization, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. Alongside that portfolio, you'll design and run a handful of one-to-many engagement programs, including webinars, hackathons, cohort-based enablement, and researcher communities, that extend Claude's impact across the broader life sciences ecosystem well beyond any single partner relationship.

The insights you gather from these partnerships will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment, making you a key voice in shaping how we build and deliver AI systems that accelerate science for the benefit of society.

Key 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

You may be a good fit if you have:

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, and familiarity with how scientific research is conducted, funded, and governed.

Deep understanding of regulations, risk, and compliance needs of the industry

Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each

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, so the scaled motion runs on automation rather than heroics and your time goes where it does the most public good

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 is a strong plus

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, with strong interest in ensuring...