Risk & Insurance Specialist
- Status
- Open
- Remote policy
- Onsite
- Employment type
- Not stated
- Salary
- 180,000-230,000 USD / year
- Categories
- Finance
- Source
- anthropic
- First observed
- 2026-10-15 21:52 UTC
- Last seen
- 2026-10-15 21:52 UTC
- Source claims posted
- 2026-10-15 21:32 UTC
- Consecutive misses
- 0 of 3
What the posting says
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
Anthropic’s Business Risk & Insurance (BRI) team, part of Treasury, is scaling quickly as the company grows. As a Risk & Insurance Specialist on the team, you’ll develop operational excellence across contracts, claims, captives, and day-to-day insurance operations, using AI and automation to streamline processes wherever possible. You’ll work closely with Compute, Finance, Legal, and Payroll. This is a rare chance to work to insure one of the fastest-growing companies in tech, where in some cases the risk landscape is still being defined.
Key responsibilities
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.
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.
Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions.
Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions.
Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination.
Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools.
Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business.
Minimum qualifications
Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting.
Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar).
Preferred qualifications
8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting
At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients
Experience at, or insuring, a technology company or other fast-growing, complex organization
Property insurance experience, including large or complex property, construction, or data center exposures
Captive insurance experience (formation, management, fronting, or reinsurance)
Experience insuring emerging technology risks, such as AI or technology liability and cyber
Background at a major broker, carrier, or large technology company risk team
Actuarial training or credentials, or experience with actuarial analysis
Familiarity with insurance management systems, SQL or Python, or building workflow automation
Experience building processes from scratch in an ambiguous, fast-moving environment
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.
Annual Salary:
$180,000—$230,000 USD
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.
Quality
- + Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1367172 2026-10-15 21:52 UTCPublished