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Risk & Insurance Specialist

anthropic · San Francisco, CA · San Francisco, California, United States
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<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2>About the role</h2> <p>Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows.</p> <p>As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected.</p> <h2><strong>Key responsibilities</strong></h2> <ul> <li>Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions.</li> <li>Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales.</li> <li>Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions.</li> <li>Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions.</li> <li>Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination.</li> <li>Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools.</li> <li>Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business.</li> </ul> <h2><strong>Minimum qualifications</strong></h2> <ul> <li>Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting.</li> <li>Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar).</li> </ul> <h2><strong>Preferred qualifications</strong></h2> <ul> <li>8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting</li> <li>At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients</li> <li>Experience at, or insuring, a technology company or other fast-growing, complex organization</li> <li>Property insurance experience, including large or complex property, construction, or data center exposures</li> <li>Captive insurance experience (formation, management, fronting, or reinsurance)</li> <li>Experience insuring emerging technology risks, such as AI or technology liability and cyber</li> <li>Background at a major broker, carrier, or large technology company risk team</li> <li>Actuarial training or credentials, or experience with actuarial analysis</li> <li>Familiarity with insurance management systems, SQL or Python, or building workflow automation</li> <li>Experience building processes from scratch in an ambiguous, fast-moving environment</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>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.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$180,000</span><span class="divider">—</span><span>$230,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> &lt

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