Drimva

Anthropic

Audit Operations Lead

$230K–$300K

San Francisco, CA +1 · Full-time · Posted Oct 21, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
Several years of hands-on SOX 404 experience. The posting says years required will correlate with internal job level requirements; no specific number is stated.
Education
A Bachelor's degree in a related field or equivalent experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.

About the job

Leads the SOX 404 audit program by coordinating external audits, managing scoping and risk assessment, reporting program status, and improving workflows with AI and a GRC platform.

What you'll do

  • Own the audit calendar and coordinate auditor requests, walkthroughs, fieldwork, evidence delivery, and findings follow-up.
  • Lead SOX scoping, risk assessment, control documentation, deficiency tracking, and status reporting.
  • Support GRC platform rollout and identify AI-enabled automation opportunities across the SOX lifecycle.

What they ask for

  • Big 4 audit firm experience on SOX 404 or ICFR engagements, including audit calendars, PBC requests, and fieldwork.
  • Hands-on SOX 404 experience covering scoping, risk assessment, control documentation, testing, and deficiency evaluation.
  • Working knowledge of COSO, ICFR, and PCAOB standards; experience with Risk and Control Matrices and process documentation or flowcharts.
  • Bachelor’s degree in a related field or equivalent experience.

Nice to have

  • 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, lightweight automations, including with Claude.

Pay

$230,000 — $300,000 USD annual base salary

Tools

COSO, ICFR, PCAOB, GRC, SQL, Claude

AI focus

Find optimization and automation opportunities across the SOX lifecycle using AI to reduce manual effort and speed up the program.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 5, 2026 (UTC)