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About the Role

As a Customer Trust Specialist, you will work on customer-facing security engagements to build trust and transparency for large enterprises using Claude for critical workloads. You will partner with Go-to-Market, Legal, Deal Desk, Product, and Security teams to simplify Anthropic's security posture for customers and auditors. You will handle complex negotiations, audits, and executive briefings, and translate learnings into reusable positions, playbooks, and knowledge-base content. This role involves using Claude for automating evidence gathering, internal research, and building team tooling. It is an individual contributor role for someone who thrives independently and enjoys resolving challenging cases.

Responsibilities

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

Requirements

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
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

Skills

Security expertise
Customer-facing security work
Audits
Security questionnaires
Contract security terms
Executive briefings
Regulated enterprises
Holding security positions under pressure
Weighing business needs against security requirements
Communicating security with CISOs
Verifying claims with infrastructure engineers
Writing positions, playbooks, or standard answers
Written communication
Influencing engineering, Legal, and GRC colleagues
Independent work
Building structure
Security leadership
LLM application to security assurance or GRC
Financial services security expectations
AI-specific trust topics
Strategic thinking
Prioritization
Risk assessment
Business impact assessment
Technical security documentation
Customer-facing communications
AI system risks
ML/AI product security considerations
Contract negotiation support

Location

San Francisco

Work Type

Hybrid

Experience Level

Individual contributor
10+ years in security
3+ years in security leadership

Education Level

Bachelor’s degree or an equivalent combination of education, training, and/or experience
A field relevant to the role as demonstrated through coursework, training, or professional experience

Salary/Compensations

$255,000—$270,000 USD

Benefits

Competitive compensation
Benefits
Optional equity donation matching
Generous vacation
Parental leave
Flexible working hours
Lovely office space

About the Company

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.
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.
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.
We greatly value communication skills.
Anthropic is a public benefit corporation headquartered in San Francisco.

Equal Opportunity

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.