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Security Risk & Compliance, Agent Security

Label Your Data·$255,000 – $345,000

Primary stack

ComplianceAI

Nice to have's

Threat ModelingIdentity and Access ManagementLeast-Privilege AccessAI Security Frameworks

Job description

About the Position

Security Risk & Compliance, Agent Security

San Francisco, CA | New York City, NY


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.


About the Team

Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Anthropic, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits.


Responsibilities

  • Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated
  • Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks
  • Serve as the GRC reviewer within existing engineering approval workflows
  • Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data
  • Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research, and engineering teams
  • Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable
  • Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners
  • Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration, and re-review

You May Be a Good Fit If You

  • Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company
  • Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries
  • Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf
  • Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor
  • Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity
  • Deliver clear, precise written work for both technical and non-technical audiences
  • Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one
  • Are energized by being the security and risk authority who educates and influences outcomes rather than only advises

Strong Candidates May Also

  • Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience
  • Bring familiarity with AI governance frameworks alongside traditional security frameworks
  • Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture
  • Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor)

Candidates Need Not Have

  • Done everything on this list before. Very few people have governed AI agents at scale - we care more about how you reason about access, accountability, and blast radius than about a prior title.

We Offer

  • Annual Salary: $255,000-$345,000 USD
  • 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.

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.


Deadline to apply: None. Applications will be received on a rolling basis.

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.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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