Head of Insurance & Business Risk

Sorry, this job was removed at 08:05 p.m. (CST) on Friday, May 01, 2026
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3 Locations
In-Office
300K-370K Annually
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
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.

Anthropic is looking for a Head of Insurance & Business Risk to build this pivotal function from the ground up. You'll own Anthropic's corporate insurance program end-to-end — assessing our risk landscape, designing and placing coverage, and developing the broader risk mitigation strategies that protect the company as we grow. This role presents the opportunity to quickly scale a risk management program while shaping how the insurance industry understands emerging AI risks.

Responsibilities
  • Own the full corporate insurance program across all lines — cyber, tech E&O, and Property & Casualty — including renewals, claims, and broker relationships
  • Centralize insurance ownership from stakeholders across Legal, Facilities, Security, Product, Policy, and Research into a single coherent program
  • Meet regularly with business leaders to surface emerging risks, and design coverage or alternative risk-transfer strategies to address them
  • Build relationships with carriers, underwriters, and regulators to help shape how the insurance market approaches AI-specific risk
  • Think about risk transfer holistically — deciding when to insure, self-insure, use captives, transfer contractually, or mitigate operationally
  • Embed Claude throughout the insurance and risk workflow, from exposure modeling to renewal preparation
You may be a good fit if you
  • Have owned the full corporate insurance program at a company including the full renewal cycle, claims, broker management, and board reporting 
  • Have deep technical insurance depth: you can speak credibly to coverage structure, exclusions, and pricing dynamics across major lines without deferring to a broker
  • Have built or significantly rebuilt a risk function, rather than only inheriting and maintaining one
  • Think about risk transfer holistically and can articulate when not to buy a policy
  • Are comfortable operating at the pace of a fast-growing company and being seen as additive to the business, not a blocker
  • Have a point of view on how to structure coverage for risks the market hasn't fully priced yet
Strong candidates may also have
  • Experience with data center, hyperscaler, or neocloud-specific property and business interruption risk
  • Captive formation or captive management experience
  • A background on the broker side that they've since brought in-house at a fast-growing company
  • Experience engaging directly with regulators or carriers on novel risk categories

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:
$300,000$370,000 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

Anthropic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.

  • Strong & Reliable Incentives Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
  • Healthcare Strength Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
  • Parental & Family Support Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.

Anthropic Insights

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The Company
HQ: San Francisco, California
2,500 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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