Customer Trust Lead
San Francisco, CA | New York City, NYFull-TimeLeadOther
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.
Program Strategy & Execution (Roadmap ownership)
- Own the Customer Trust Roadmap end-to-end, evolving priorities based on company growth, customer needs, and competitive landscape
- Drive automation platform strategy—evaluate, implement, and scale AI-powered questionnaire platforms to dramatically improve response times and automation rates
- Build systematic customer intelligence loops that route security/compliance feedback to Product and Security roadmaps
Cross-Functional Leadership
- Partner with Deal Desk and RevOps to integrate Customer Trust workflows into CRM and streamline due diligence processes
- Collaborate with Security GRC, Security Engineering, and Legal teams to develop trust artifacts, security content, and scalable response frameworks
- Present to executive audiences and represent Anthropic's security posture in strategic customer engagements (Field CISO activities)
Team Building & Scaling
- Hire and develop the Customer Trust team
- Establish team operating rhythms, metrics reporting, SLAs, and escalation frameworks
- Create GTM enablement programs to drive self-service adoption across sales teams
Customer & Revenue Enablement
- Develop trust artifacts including security landing pages, whitepapers, industry-specific FAQs, and sales enablement materials
- Design audit coordination processes for strategic accounts
- Support complex contract reviews requiring security expertise and escalate appropriately
You may be a good fit if you:
- Have 10+ years progressive experience in compliance, security operations, or customer trust, with 3+ years building or scaling customer-facing security programs from early-stage through high-growth
- Have a proven track record managing enterprise security relationships at scale—you've personally handled complex customer audits, built trust with Fortune 500 CISOs, and know how to balance rigor with deal velocity
- Have strong technical acumen—you can explain complex security architectures, compliance frameworks (NIST 800-53, SOC 2, ISO 27001, HIPAA), and multi-cloud implementations in customer-friendly language
- Have experience implementing trust automation platforms or building scaled questionnaire management processes
- Can identify broken processes, design scalable solutions, and implement the right tools to maximize efficiency without sacrificing quality
- Are comfortable presenting to C-level executives and translating technical security concepts for business audiences
- Have a proven track record of cross-functional influence without direct authority—you build partnerships that get things done
- Have experience partnering with Revenue Operations, Deal Desk, or Sales teams to integrate security into go-to-market motions
Strong candidates may also:
- Have worked in AI/ML or high-growth SaaS companies navigating rapid compliance expansion
- Bring Field CISO or Customer Success Security experience supporting enterprise deals
- Possess relevant certifications (CISA, CRISC, CISM, CISSP, ISO 27001 Lead Auditor)
- Have experience with AI safety or model security considerations
Candidates need not have:
- Done everything on this list before—we value learning agility and willingness to tackle novel compliance challenges in the AI space
Deadline to Apply: None, applications will be received on a rolling basis.
- 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.
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.
