The opportunity
We are looking for a SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure.
What you'll do
Lead financial risk and internal control design for compute and: infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management
Develop and execute the SOX control plan and roadmap for compute and: infrastructure, making defensible prioritization calls on what must be controlled now and what can follow
Own scoping, risk assessment, walkthroughs, testing, remediation, and: reporting activities for compute and infrastructure processes
Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness
Pioneer the use of AI and automation to enhance control effectiveness,: including full-population matching of usage to invoices, continuous monitoring, and anomaly detection
Design, implement, and monitor controls over the completeness, accuracy, and: cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices
What they're looking for
- Have 12+ years of hands-on SOX, internal audit, or internal controls: experience, preferably in both Big 4 and in-house roles at a fast-paced technology company
- CPA (or similar certification) and/ or CISA
- Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure)
- SQL and comfort working directly with usage, telemetry, and cost data to: validate what the systems are telling you
- Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies
- Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes
- Understanding of lease accounting (ASC 842) and other accounting standards: relevant to infrastructure and capacity arrangements
- Experience working at a high-growth AI or technology company
