AnthropicOfficial careers listing

Posted today

Audit Operations Lead

Pay

USD 230,000–300,000 a year

From the description

Location

San Francisco, CA

On site

Skills this role screens for

SQLTestingLeadershipCommunicationResearchDocumentationAutomationFinance

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About the role

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.

The work

About the Role

You will run the external audit calendar for our SOX 404 program as we scale toward an IPO. That means coordinating with our external auditors across the year, aligning testing windows with control owners, educating our control owners, and keeping requests and deliverables on schedule. You will also own SOX scoping and risk assessment cycles, deficiency tracking, and status reporting, and help roll out our GRC platform so the program runs from one system of record instead of spreadsheets. You will scale the program through AI-enabled workflows that reduce manual effort and speed up our SOX program.

This role reports to the Head of Business Controls and works closely with everyone on the SOX and Internal Audit team. This is an individual contributor role for someone who keeps a complex program on schedule, writes clearly, and makes the program simpler each cycle.

The work

Key responsibilities

  • Own the annual SOX audit calendar, including interim and year-end testing windows, walkthrough schedules, and key deliverable dates agreed with external auditors.
  • Serve as the day-to-day point of contact for external auditor requests. Triage, route, and track each request to closure, including PBC (provided-by-client) lists and evidence deliveries.
  • Coordinate auditor walkthroughs and fieldwork with process owners, control owners, and the SOX Testing team, so each control owner is asked for the same evidence once.
  • Track auditor findings, management responses, and deficiency follow-ups, and report status to Internal Audit leadership.
  • Prepare control owners and process owners for auditor sessions, and get evidence delivered on time without direct authority over them.
  • Lead the annual SOX scoping and risk assessment, including quarterly refreshes, and support the annual Fraud Risk Assessment, so the program has appropriate scope and coverage under COSO.
  • Monitor BP and IT SOX testing and report status to leadership and share status with external auditors
  • Lead work with the business to improve control documentation, including education of templates and SOX guidance.
  • Find optimization and automation opportunities across the SOX lifecycle through the use of AI.
  • Support the rollout of the GRC tool for SOX, including control libraries, workflows, evidence requests, and testing templates.
  • Define the data and reporting requirements the platform must meet, and test that it produces what the program needs.
  • Run the quarterly sub-certification process and report results to leadership
  • Own SOX program status reporting: dashboards and metrics for leadership, audit calendar progress, and deficiency and remediation status.
  • Own status reporting for the full SOX lifecycle: scoping and risk assessment, testing, deficiencies and remediation, segregation of duties (SOD), SOC 1 report reviews, the fraud risk assessment, and audit calendar progress.

Who they want

Minimum qualifications

  • Big 4 audit firm experience on SOX 404 or ICFR engagements, including managing audit calendars, PBC requests, and fieldwork with external audit teams.
  • Experience working directly with external auditor teams on requests, testing schedules, and findings, from the company side.
  • Several years of hands-on SOX 404 experience, including scoping, risk assessment, control documentation, testing, and deficiency evaluation.
  • Working knowledge of the COSO framework, ICFR, and PCAOB standards.
  • Experience developing or maintaining Risk and Control Matrices and process documentation or flowcharts.
  • Experience implementing or administering a GRC systems
  • Experience reporting program status, metrics, and issues to senior leadership.
  • Ability to get control owners to deliver on time without authority over them.
  • Clear writing and calm coordination under deadline pressure.
  • A Bachelor's degree in a related field or equivalent experience.

Nice to have

Preferred qualifications

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.

  • In-house SOX experience at a pre-IPO or newly public company.
  • Experience running a fraud risk assessment.
  • CPA, CISA, or similar certification.
  • Comfort with SQL or data tools for reporting, and experience building lightweight automations, including with Claude.

What you get

Annual Salary

$230,000—$300,000 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.

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

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