Senior Manager, IT SOX

Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models

Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls

Assess new system implementations and changes

Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities

Assist in scoping and planning for annual SOX IT assessments

Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations

Perform system and process risk assessments to identify control gaps and recommend remediation

Own control documentation and ensure audit-ready evidence is current and complete

Evaluate IT automated controls and support the shift from manual to automated control reliance

Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities

Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program

Build strong working relationships with process and control owners across the organization

Translate technical control requirements for non-technical stakeholders and vice versa

Support SEC cybersecurity disclosure requirements and related risk monitoring efforts

Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules

Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders

Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment

Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies

Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them

Experience designing, testing, and documenting controls across access management, change management, and computer operations

Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment

Ability to effectively guide and direct the work of internal team members and/or co-sourced partners

Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders

Strong project management and organizational skills with close attention to detail

Clear, effective communicator — able to work across technical and non-technical audiences

8+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment

Hands-on experience with cloud environments (GCP, AWS, and/or Azure)

Experience at a pre-IPO or newly public technology company

Track record of scaling an audit or SOX program through periods of rapid growth

Familiarity with enterprise systems such as Workday, Salesforce, or GitHub

Experience evaluating SDLC controls in modern software development environments

CISA, CIA, CISSP, CPA, or equivalent certification

Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited

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.

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.

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.

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.