Lead, Security Controls Assurance SOX

Anthropics 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.

Anthropics Security Governance Risk and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory customer and voluntary obligations into controls that teams act on and give leadership a birds-eye view of how well were meeting them. Were building toward continuous assurance to challenge and evidence the performance of controls continuously rather than through periodic audits.

As Anthropic scales to meet public-company standards the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRCs technical controls assurance function you will be the voice on what the IT general controls must achieve to support SOX 404 partnership with Internal Audit you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring initially around ITGCs but extending into other areas of security and compliance to drive visibility where and when we need it.

• Define control requirements and acceptance criteria across the core ITGC domains of logical access change management computer operations and program development for SOX in-scope systems including home-built platforms where the control has to be designed into the system rather than bolted on.

• Set the bar for in-scope systems from day one. As financially significant systems are built migrated or replaced define what the system must provide (auditability segregation of duties change control immutable logging evidence retention) before go-live so controls are not retrofitted after the fact.

• Pressure-test changes for SOX impact during design. Review major infrastructure system and agent framework changes for control impact while decisions are still cheap and maintain a clear view of which changes alter the SOX scope key control population or evidence requirements.

• Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing walkthrough preparation population and completeness validation and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time.

• Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring Internal Audit or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing.

• Assess scope changes through a SOX lens. When new products entities systems or integrations come into scope provide technical and compliance assessment of their impact on control design evidence requirements and engineering effort before commitments are made.

• Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2 ISO 27001/42001 or other frameworks ensure controls are designed once and evidenced once and that changes made for one framework do not silently break another.

• Thrive at the pace of a hypergrowth company. Youre comfortable making calls with incomplete information and reprioritizing as scope shifts.

• Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company with a working command of PCAOB AS 2201 COSO 2013 and how external auditors scope test and evaluate technology controls and deficiencies.

• Have genuine engineering fluency possibly from an earlier engineering career: you can read code and Terraform follow a CI/CD pipeline end to end and challenge a design on its technical merits.

• Have programming skills in Python or at least one systems language such as Go Rust or C/C.

• Have deep familiarity with developer platform release engineering cloud infrastructure or ERP/financial systems control domains.

• Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls and you know where the line sits between your monitoring and Internal Audits independent testing.

• Are a strong collaborator and communicator across Finance Engineering Internal Audit and external auditors.

• Use Claude and other LLMs as daily working tools and have grounded specific views on which SOX assurance workflows AI can run today and which it cant yet.

• Translate SOX and framework 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.

• A combination of audit or advisory experience (Big 4 or equivalent ideally IT audit) with in-house experience at an AI-forward tech company in either order.

• Taken a company through a first-year SOX 404(a) and 404(b) assessment including a first external ITGC audit.

• Defined or assessed controls over home-built financially significant systems usage-based billing or revenue metering pipelines.

• Defined or assessed controls for AI/ML systems or agents acting in production environments.

• Stood up continuous controls monitoring or automated evidence programs.

• Experience with SOC 1 reliance service organization control mapping and complementary user entity controls.

• CISSP CISA CPA or equivalent certification.

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.