Customer Trust Specialist

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.

As a Customer Trust Specialist at Anthropic, you'll work on the customer-facing security engagements that build the trust and transparency for large enterprises to leverage Claude with their critical workloads. You'll partner closely with Go-to-Market, Legal, Deal Desk, Product, and Security to make Anthropic's security posture straightforward for customers and their auditors to understand.

When a negotiation, audit, or executive briefing gets beyond what the standard process handles, you'll pick it up and see it through. As you resolve things, you'll turn what you learn into reusable positions, playbooks, and a knowledge-bank content. Building with Claude is a normal part of this job. You'll use it to automate evidence gathering, support internal research and knowledge building, and build tooling for yourself and the team. 

This is an individual contributor role for someone who works well independently, doesn't need much structure to be effective, and enjoys being the person who reliably handles hard cases well. If you've been a Head of Security or similar at a smaller company and want to go deep on the customer-facing work without managing a team, this is a good fit. 

• →Negotiate security terms and schedules with regulated enterprise customers, exercising judgment on what to hold and what to escalate; when a deal needs a new position, help develop it with Legal
• →Take on complex customer questionnaires, RFPs, and security assessments that fall outside the standard answer bank, and drive them to completion
• →Run onsite and remote security audits with strategic accounts: scope the agenda, walk customers through our controls, work through disputed findings, and drive them to documented closure
• →Speak to our security posture in customer briefings where CISOs ask detailed questions about architecture, data handling, retention, tenancy, and model training, answering accurately and in depth
• →Contribute to the team's library of Legal-approved positions, the canonical answer bank, and audit runbooks, so that resolutions become repeatable
• →Build with Claude: contribute to the team's AI-powered questionnaire and RFP automation, automate information gathering across internal systems, and help verify machine-drafted responses before they go out
• →Help write and maintain customer-facing trust artifacts (white papers, FAQs, Trust Center content, architecture diagrams), and check that security claims match how our systems actually work before they ship
• →Route control gaps and new-capability asks surfaced by customers to the right Product and Security owners, and follow through to closure
• →Notice patterns across audits, questionnaires, and negotiations, and surface them to Customer Trust and Security leadership as signal about where customer expectations are moving
• →Track engagement metrics (escalation volume, remediation follow-through, deal impact) and report on them regularly

• Solid security expertise in at least one domain, from engineering to governance, risk, and compliance, with working fluency across the others
• Hands-on experience with customer-facing security work, including audits, security questionnaires, contract security terms, or executive briefings with regulated enterprises
• Ability to hold a security position under pressure, weigh business needs against security requirements, and recognize when the right answer is to move
• Comfortable talking security with a customer CISO and then checking a claim's accuracy with an infrastructure engineer, and committed to telling customers only what you've verified internally
• Experience writing positions, playbooks, or standard answers that teammates actually used
• Clear written communication, because your positions, runbooks, and summaries are what others work from
• Ability to get engineering, Legal, and GRC colleagues to prioritize and close work without having authority over them
• Comfortable working independently and building the structure you need

• 10+ years in security across any domain
• Including 3+ years in security leadership, ideally as Head of Security or similar at an early-stage company: you've represented a security program younger and leaner than the enterprise programs evaluating it, and earned CISOs' confidence anyway
• Have applied LLMs to security assurance or GRC work, such as questionnaire automation, evidence retrieval, or claim verification
• Familiarity with financial services security expectations, including third-party risk programs, regulatory exam readiness, DORA, and PCI DSS
• Familiarity with AI-specific trust topics: training data handling, retention architectures, regional inference, customer-managed encryption
• Experience at a company whose product drew significant enterprise security scrutiny
• You don't need prior AI-industry experience, formal certifications, or a law degree; you'll always negotiate alongside Legal.
• Strategic thinking and prioritization – ability to balance competing customer requests, assess risk vs. business impact, and make sound decisions without constant direction
• Strong writing skills for both technical security documentation and customer-facing communications
• Understanding of AI system risks and unique security considerations for ML/AI products (particularly relevant for customer conversations about AI safety)
• Experience supporting contract negotiations by reviewing and refining security clauses and commitments

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.

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.

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.