ApplySarthiCustomer Success Manager, Beneficial Deployments - Life Sciences
Anthropic
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What deployments roles keep asking for: Supply chain (34%), AWS (28%), Azure (24%), GCP (24%), Observability (24%), Product management (21%), SaaS (21%), BigQuery (17%) — counted across their open postings here.
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Preparing for this interview
Interviews for deployments roles keep coming back to Supply chain, AWS, Azure, GCP. Practise those questions before you sit with Anthropic.
Questions you are likely to be asked
- Why do you want to join Anthropic?
- What is your experience with Customer success? Tell me one thing you learned the hard way.
- Tell me about feedback from customers that you passed on to the product team.
- How do you explain a technical problem to a customer who is not technical?
- Tell me about an angry customer you handled. What did you say?
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Practise the Customer Success Manager, Beneficial Deployments - Life Sciences at Anthropic interview free →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:
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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
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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
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Monitor usage patterns and proactively drive adoption across your 1:1 accounts, identifying optimization opportunities and discovering new applications for Claude
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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
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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
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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
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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
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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:
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6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
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3+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress
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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.
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Deep understanding of regulations, risk, and compliance needs of the industry
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Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
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Experience designing and delivering one-to-many customer programs (webinars, hackathons, cohort-based onboarding, user communities, or similar) alongside managing dedicated strategic accounts
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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
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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
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Experience explaining and demonstrating technical products to diverse audiences, from bench scientists and computational researchers to institutional leadership
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Strategic mindset to identify growth opportunities for expanded scientific and health impact and translate them into actionable expansion plans
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Passion for both AI and accelerating scientific progress, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
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A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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Listed on greenhouse · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by Anthropic, not by us.