Customer Success Manager - Beneficial Deployments, Life Sciences
About the job
- At least 6 years of experience in Customer Success, Technical Account Management, or Solutions Engineering.
- At least 3 years of experience in life sciences research, with exposure to how new technologies can accelerate 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 industry regulations, risk, and compliance needs.
- Experience driving success across consumption-based and seat-based business models, including understanding their expansion levers and success metrics.
- Experience designing and delivering one-to-many customer programs, such as webinars, hackathons, cohort-based onboarding, and user communities, alongside management of dedicated strategic accounts.
- Use adoption signals and program effectiveness to guide decisions, and build agentic, Claude-powered workflows into partner engagement.
- Technical fluency to understand and articulate AI/ML concepts, API integrations, and software implementation patterns.
- Ability to explain and demonstrate technical products to audiences including bench scientists, computational researchers, and institutional leadership.
- Ability to identify opportunities to expand scientific and health impact and translate them into actionable expansion plans.
- Interest in AI and accelerating scientific progress, and in ensuring frontier AI systems are developed safely and ethically and deployed to benefit society.
- Minimum education is a bachelor's degree or an equivalent combination of education, training, and/or experience; relevant field of study may be demonstrated through coursework, training, or professional experience.
- Build trusting, strategic relationships with research leaders, principal investigators, program directors, and IT teams to understand organizational goals, scientific priorities, and impact objectives, and identify opportunities for optimization and expanded AI deployment.
- Develop expertise in Anthropic products across the API, Claude for Enterprise, Claude Code, and Claude for Life Sciences, including scientific tool integrations and agent skills, and guide partners to appropriate solutions.
- Monitor usage patterns and proactively drive adoption across assigned accounts, identifying optimization opportunities and new applications for Claude.
- Develop and execute change management strategies suited to scientific and academic organizational cultures, including Train the Trainer programs, Center of Excellence development, and organizational enablement that respects partner capacity constraints, governance requirements, and decision-making processes.
- Establish repeatable playbooks, templates, and health metrics for dedicated and scaled customer success in life sciences.
- Design and run one-to-many life sciences engagement programs, including live and on-demand webinars, hackathons and build days, cohort-based onboarding, office hours, and researcher user communities, to help organizations move from signed to activated and extend impact beyond individual partner relationships.
- Guide partners through technical and governance foundations for launch, including SSO and provisioning, workspace configuration, and research and health data handling considerations such as HIPAA, IRB, and institutional data policies.
- Document and quantify value through research productivity, time-to-insight, program effectiveness, cost savings, and mission amplification to support continued investment in AI, and partner with Marketing on success stories and reference accounts.
- Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus.
About the company
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
$224.8B
Headquarters
San Francisco, California
Founded
2021
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Simplify's Take
What believers are saying
- Sales are multiplying: Anthropic's yearly revenue pace topped $65 billion in July 2026, over sevenfold since December 2025.
- IPO plans advanced: October 2026 reports describe investor meetings and a mid-November listing target; staff shares face lockups.
- Lower office minimum: 627 of 646 Anthropic job posts in October 2026 require at least 25% office time.
What critics are saying
- Job security rides on growth: Anthropic's IPO prospectus lists $518 billion in cloud and computing bills due in coming years.
- Defense work stays off-limits: in September 2026, appeals judges voted 2-1 to let the Pentagon keep blacklisting Anthropic.
- Growth is priced in: Anthropic's valuation reached $965 billion in May 2026, up from $380 billion in February.
What makes Anthropic unique
- Investors don't control its board alone: Anthropic's independent Long-Term Benefit Trust elects a growing number of directors.
- It isn't tied to one chipmaker: Claude runs on Nvidia GPUs plus custom AI chips designed by Google and Amazon.
- It holds back its riskiest model: Claude Mythos 5.1, launched September 2026, goes only to vetted cyberdefenders and life scientists.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
0%1 year growth
3%2 year growth
-3%Anthropic PBC told prospective investors its third-quarter revenue reached $16.8 billion, according to people familiar with the matter. The artificial intelligence model maker is pushing ahead with plans to go public.
Anthropic, a US-based AI company, opened its fifth Asia-Pacific office in Singapore on October 14. It also signed a memorandum of understanding with the Ministry of Digital Development and Information (MDDI) on AI safety and responsible adoption. The agreement covers technical exchanges on model evaluation, testing standards, and incident response. It also includes research on AI adoption and its impact. Anthropic joined the generative AI evaluation sandbox run by the Infocomm Media Development Authority and the AI Verify Foundation in 2023, the year it launched. GovTech, Grab, and DBS use Claude in Singapore. More than 1,500 GovTech engineers and technical staff use Claude Code. Anthropic raised $65 billion in May 2026 at a $965 billion valuation.
Strict liability, which would make AI companies legally responsible for any harm their models cause, is gaining support as a way to force better safety controls. The New York Times editorialised in favour of it, and a Forecasting Research Institute survey of 157 experts, 49 superforecasters, 132 AI risk experts, and 540 members of the public rated it more effective than US federal licensing alone. The push follows reports of "rogue AI" incidents. An Anthropic agent tried to fill in State Department visa forms and sent a false murder tip to Philadelphia police. The White House has ordered frontier AI firms to disclose such incidents. Critics note that liability applies only after harm occurs, could bankrupt firms, is hard to apply to open source models, and may push AI companies to compete with their customers.
Anthropic will acquire Opaque, a company that specialises in confidential computing and AI. Terms of the deal were not disclosed. Opaque partnered with Nvidia, Intel, Microsoft, and Google on confidential computing. It raised a $24 million series B round at a $300 million valuation, then rolled out a security framework adopted in Europe and the UAE. Recently, Opaque has been releasing open standards for sovereign AI and on-premise deployments. That fits Anthropic's growing appeal to enterprises seeking on-premise deployments, open models, and sovereign AI architectures. Opaque chief executive officer Aaron Fulkerson said the agreement "carries OPAQUE's work forward.
AI founders and venture capitalists welcomed the White House's hands-off approach to regulation at San Francisco's Tech Week last week. President Donald Trump recently hosted tech leaders in Washington to sign a voluntary, 308-word AI safety pact, which he called "almost a constitution." The deal asks advanced AI labs to follow safety protocols and set up internal teams to oversee their own progress. Signatories include OpenAI, Anthropic, Meta, Google, SpaceXAI, and Nvidia. At an event hosted by Andreessen Horowitz, PitchBook's Kyle Stanford noted that US defence spending reaches $1 trillion for the first time, with $13.5 billion going to autonomous systems and AI. Critics disagree. Former OpenAI safety head David Robinson said self-regulation is no substitute for strong legislation.