Drimva

Klaviyo

Manager, IT SOX

$124K–$186K

Boston, MA +1 · Manager · Full-time · Posted Oct 19, 2026

Location
Boston, MA
Boston, Massachusetts, United States
Experience
8+ years of IT audit experience in public accounting and/or industry, including IT SOX controls testing; ideally in a Tech/SaaS environment. Experience managing or coaching auditors and/or co-sourced resources.
Education
Bachelor's degree in Information Systems, Computer Science, Accounting, Business, or another relevant field.

About the job

Leads Klaviyo’s IT SOX program and risk-based technology audits, managing an auditor and introducing responsible AI and automation across audit work.

What you'll do

  • Own and execute the annual IT SOX program, including scoping, controls testing, deficiency remediation, stakeholder coordination, and status reporting.
  • Plan and lead risk-based technology audits, including cloud security, cybersecurity, data governance, and AI governance.
  • Coach the Sr. IT Internal Auditor and establish AI-assisted audit standards, reusable workflows, and automated testing approaches.

What they ask for

  • Deep understanding of SOX 404, PCAOB Auditing Standards, COSO 2013, COBIT, US GAAP, and Internal Audit Standards.
  • Experience leading planning, scoping, testing, and reporting for a full-year IT SOX program and leading technology audits.
  • Experience auditing modern engineering environments, including CI/CD pipelines, access defined in code, and automated data pipelines.
  • AI fluency, strong communication and project management skills, and data analytics experience.

Nice to have

  • Experience with SOX GRC tools such as Optro and ERP systems such as NetSuite; CISA preferred, with CPA, CIA, or CISSP a plus.
  • Working knowledge of AI governance frameworks such as NIST AI RMF or ISO/IEC 42001, or ISACA AAIA credential.

Pay

$124,000 — $186,000 USD (base salary)

Tools

Optro, AWS, SQL, Python, Tableau, NetSuite, NIST AI RMF, ISO/IEC 42001

AI focus

Uses AI and automation across the audit lifecycle; sets standards for reviewing, validating, and documenting AI-assisted work; builds reusable prompts and workflows; supports automated testing and continuous monitoring; assesses AI tool and agent risks in financial reporting and advises on controls for AI-driven processes.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)