Full-Time
Customer Success Manager
Beneficial Deployments, Life Sciences
Posted on 9/9/2026
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$200k - $265k/yr
H1B Sponsorship Available
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
Hybrid
Staff must work from an office at least 25% of the time.
Bachelor's
 Customer Experience & Support (1) |
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- 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 using new technologies to accelerate progress.
- Experience working directly with life sciences organizations, including academic research institutions, nonprofit research institutes, foundations, biotechnology companies, or pharmaceutical companies, 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 of expansion levers and success metrics for each.
- Experience designing and delivering one-to-many customer programs alongside managing dedicated strategic accounts.
- Ability to use adoption signals and program effectiveness to guide decisions and build agentic, Claude-powered workflows into partner engagement.
- Technical fluency to understand and articulate artificial intelligence and machine learning concepts, application programming interface integrations, and software implementation patterns.
- Experience explaining and demonstrating technical products to bench scientists, computational researchers, and institutional leadership.
- Ability to identify growth opportunities for expanded scientific and health impact and translate them into actionable expansion plans.
- Strong interest in artificial intelligence and accelerating scientific progress, including safe, ethical, and beneficial deployment of frontier AI systems.
- Minimum education is a bachelor's degree or an equivalent combination of education, training, and experience.
- A field of study relevant to the role, demonstrated through coursework, training, or professional experience.
- Build strategic relationships with research leaders, principal investigators, program directors, and information technology teams to understand organizational goals, scientific priorities, and impact objectives.
- Identify opportunities for optimization and expanded artificial intelligence deployment in support of partners' research missions.
- 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, to guide partners toward appropriate solutions.
- Monitor usage patterns and drive adoption across named accounts by identifying optimization opportunities and new applications for Claude.
- Develop and execute change management strategies for scientific and academic organizations through Train the Trainer programs, Centers of Excellence, and organizational enablement.
- 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.
- Guide partners through launch requirements including single sign-on, provisioning, workspace configuration, and data-handling considerations for research and health data such as HIPAA, institutional review board requirements, and institutional data policies.
- Document and quantify value realized through research productivity, time-to-insight, program effectiveness, cost savings, and mission amplification.
- Partner with Marketing to develop success stories and reference accounts.
- Familiarity with scientific data types, research workflows, or bioinformatics tooling.
Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.
Company Size
5,001-10,000
Company Stage
Debt Financing
Total Funding
$182.8B
Headquarters
San Francisco, California
Founded
2021
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Simplify's Take
What believers are saying
- Project Glasswing found over 10,000 critical vulnerabilities by June 2, 2026.
- Anthropic disclosed annualized revenue above $65 billion in July 2026, signaling explosive demand.
- September 1, 2026 pricing cuts for cache reads boost agentic API adoption and retention.
What critics are saying
- Anthropic’s $1.5 billion copyright settlement, approved July 20, 2026, invites more suits.
- Late-September 2026 IPO pressure exposes weak multiples if growth decelerates after listing.
- Heavy compute commitments and chip-lease debt create existential financing risk if demand softens.
What makes Anthropic unique
- Claude Security and Project Glasswing anchor Anthropic’s enterprise security moat in 2026.
- Anthropic pairs frontier-model capability with explicit safety branding, unlike OpenAI’s consumer-first posture.
- Multi-cloud distribution across AWS, Google, Microsoft, Lambda, and Nscale reduces single-vendor dependence.
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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
↑ 7%1 year growth
↑ 4%2 year growth
↑ 2%Broadcom could capture a $40 billion opportunity from Anthropic's growing compute needs, according to Macquarie analyst Arthur Lai. This comes as concerns mount over Google developing more chips internally, potentially threatening Broadcom's custom silicon business. The stock has fallen approximately 24% from its all-time high. However, Lai suggests many concerns may already be priced in, creating an attractive entry point. In April, Anthropic partnered with Google and Broadcom to secure next-generation TPU capacity for training its Claude AI models. Broadcom's AI semiconductor revenue surged 221% year-over-year to $16.7 billion in fiscal Q3 2026. Management projects AI semiconductor revenue could reach $115 billion in fiscal 2027 and potentially $230 billion in fiscal 2028. The Anthropic partnership could provide crucial revenue visibility whilst strengthening Broadcom's position in custom AI silicon and networking.
Black Duck has joined Anthropic's Project Glasswing, an industry initiative aimed at securing critical software infrastructure using advanced AI for defensive cybersecurity. The application security company will apply Mythos, Anthropic's AI system, across its full security portfolio. This will combine AI-accelerated vulnerability discovery with remediation workflows, risk-based prioritisation, and compliance-driven governance. "AI is transforming the economics and speed of vulnerability discovery and exploit development," said Dipto Chakravarty, Black Duck's Chief Product & Technology Officer. He explained that pairing Mythos with Black Duck's existing capabilities will enable faster risk reduction whilst maintaining the transparency and auditability required by enterprise security teams. Black Duck specialises in application security, combining deterministic analysis with AI reasoning to identify and fix security issues in code written by developers, generated by AI, or assembled from open source.
Goldman Sachs and Morgan Stanley have asked major credit rating agencies to grant investment-grade status to OpenAI and Anthropic upon going public, despite neither company turning a profit, the Financial Times reported. OpenAI posted a $20.9 billion operating loss on $13.1 billion revenue in 2025. Anthropic doesn't expect to break even until 2028, with OpenAI targeting 2030. The investment-grade designation would allow pension funds and insurers to buy their bonds. It would also terminate Nvidia's guarantee of up to $105 billion in lease obligations for OpenAI's Ohio campus. Rating analysts currently describe both labs as speculative-grade and loss-making. When SpaceX received investment-grade ratings after its June IPO, its bonds traded near junk pricing within days. Anthropic could list in late September, whilst OpenAI targets 2027.
Interactive Brokers held $182.4 billion in uninvested client cash at the end of June, up 27% year over year, and this figure grew to $185.6 billion by August. The automated global broker earns interest on this cash by investing it in short-term US government securities whilst paying clients a rate half a percentage point below the federal funds rate. Net interest income rose 23% year over year to $1.06 billion in the second quarter, representing more than half of total net revenues of $1.9 billion. The growth came from larger balances rather than margins, which actually narrowed to 1.93% from 2.07%. Anthropic's potential IPO, rumoured to arrive soon with a possible $2 trillion valuation, could provide clients with an opportunity to deploy some of this cash.
Anthropic has reportedly secured a $35 billion cloud deal with Lambda for 350 MW of capacity at Hut 8's Beacon Point campus in Texas, marking its ninth major compute corridor. The arrangement highlights Nvidia's dual role as both GPU supplier and data centre landlord, allowing it to extract value at multiple levels. The deal supports Anthropic's $65 billion annualised revenue run rate but deepens its reliance on Nvidia's ecosystem. Anthropic has diversified across nine corridors, including commitments to AWS (5GW), Google/Broadcom (5GW), Microsoft/Nvidia ($30 billion), Fluidstack ($50 billion), Nscale ($45 billion), Volta ($10 billion), AMD ($5 billion), and SpaceX (300MW). This infrastructure strategy reflects a shift where GPU suppliers increasingly control both hardware and physical environments, positioning themselves as compute landlords.