Security Controls Assurance Lead

Anthropic•San Francisco, NY

15h•Hybrid

About The Position

Anthropic's Security Governance, Risk, and Compliance (GRC) team is responsible for ensuring the company adheres to its security commitments. This team translates regulatory, customer, and voluntary obligations into actionable controls and provides leadership with an overview of compliance status. The team is developing an innovative GRC approach that leverages AI, specifically Claude, to continuously challenge and evidence control performance, moving beyond traditional periodic audits. They are building an integrated compliance and risk ecosystem to serve as a trust engine and an independent risk advisor for Anthropic's self-governance. Within the Security GRC's technical controls assurance function, this role will define the objectives of the control environment, establish control requirements and acceptance criteria for global compliance obligations (e.g., SOC 2, ISO 27001/42001, HIPAA, public sector) throughout the software development lifecycle, partner with engineering teams on implementation, and validate that the implemented controls meet the required standards.

Requirements

Thrive at the pace of a hypergrowth company. Comfortable making calls with incomplete information and reprioritizing as scope shifts.
Supported technology control programs through SOX readiness or as a public company or with equivalent rigor (FedRAMP, large multi-framework SOC 2/ISO portfolios).
Genuine engineering fluency, possibly from an earlier engineering career: ability to read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits.
Programming skills in Python or at least one systems language such as Go, Rust, or C/C++.
Deep familiarity with developer platform, release engineering, or infrastructure control domains.
Strong collaborator and communicator.
Use Claude and other LLMs as daily working tools, and have grounded, specific views on which audit and assurance workflows AI can run today and which it can't yet.
Translate framework and regulatory language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on.
Default to getting the requirement designed into the system rather than papering over the gap with procedure.

Nice To Haves

Combination of audit or advisory experience (Big 4 or equivalent) with in-house experience at an AI-forward tech company — in either order.
Defined or assessed controls for AI/ML systems or agents acting in production environments.
Stood up continuous controls monitoring or automated evidence programs.

Responsibilities

Define the control framework and requirements for autonomous AI operators in collaboration with Security, Internal Audit, and Engineering, including change review and approvals, human-in-the-loop, and evidence collection.
Assess implementations against those requirements.
Pressure-test major infrastructure, system, and agent framework changes for control impact during design, before decisions become expensive rework.
Set the compliance bar for home-built systems.
Collaborate with teams to define what the internal system must provide from day one, such as auditability, segregation of duties, and change control over the tool itself.
Define the criteria for where and when AI can operate, supplement, or replace a manual process or control, including the human-in-the-loop thresholds and evidence documentation.
Establish the validation, evidence, and governance standards that allow AI-performed and AI-assisted processes and controls to withstand external audit and regulatory scrutiny.
Assess the introduction of new compliance frameworks and changes in scope (new regulations, certifications, products, or entities), providing a sufficient technical and compliance lens on their impact to control design, evidence requirements, and engineering effort before commitments are made.
Stand up or advise on audit workflows for the assurance team, including Claude-driven control testing, automated evidence collection, walkthrough preparation, and framework mapping against our common controls framework, materially raising automated evidence coverage and cutting audit prep time.