Security Risk & Compliance, Data Centers & Compute

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 part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropics security program from auditors, customers and partners.

This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities.

Key responsibilities

• Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2).

• Build scalable data center and hyperscaler processes and documentation systems that will support future expansion to additional geographies and compliance frameworks.

• Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance.

• Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations.

• Write, update and enact policies capturing security, privacy, and AI safety requirements.

• Maintain and enhance Anthropic's system of security controls through audit readiness, recordkeeping, and cross-functional communication.

Minimum qualifications

• Have 8+ years of progressive experience in audit and compliance roles, with direct ownership of certification/attestation or security compliance implementation projects

• Have worked in cloud-native environments and understand security and privacy considerations for multi-cloud and hybrid architectures

• Can translate complex compliance requirements into actionable workstreams for technical and non-technical stakeholders

• Have integrated with common controls frameworks or GRC systems that scaled with organizational growth

• Write clear and useful security and privacy documentation for both external and internal audiences.

• Thrive in ambiguous, fast-paced environments where you'll need to build processes from scratch

• Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization

• Are energized by being the subject matter expert who educates the organization on new compliance requirements and auditors on current security practices

• Have worked in AI/ML companies and understand unique security considerations for model development and deployment

• Have worked with cloud companies and understand cloud security controls and physical security requirements

• Bring experience from high-growth technology companies managing rapid compliance expansion

• Have some experience implementing automated enforcement of security controls (i.e., compliance as code)

• Possess relevant certifications (CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Auditor/Implementer)

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.

$270,000—$345,000 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.