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SOX Audit Expert
Nace.Ai · Palo Alto, CA · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Nace.Ai |
| Title | SOX Audit Expert |
| Normalized title | - |
| Department / team | Finance & Audit / Finance & Audit |
| Location | Palo Alto, CA, United States |
| Work model | On Site |
| Employment type | Contract |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Nace.Ai. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Palo Alto. | Open |
| Department jobs | Active postings in Finance & Audit. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Nace.Ai |
| Source | 2d6a1bb4-0c8c-410c-8391-c465989e61bf |
| ATS provider | Ashby |
Description
Engagement: 2 weeks · 8 hours/week Compensation: Competitive hourly rate
The Opportunity We are building an AI-native platform for SOX control testing — one where an AI agent reads an audit workpaper, classifies every sheet, extracts sample rows, identifies exceptions, and generates PCAOB-defensible narratives. Automatically.
The engineering is working. What it needs now is an expert who can tell us when it's right and when it only looks right.
This is not a training role. This is not a data labeling role. This is the role where a seasoned auditor looks at what the AI produced, applies the kind of judgment that comes from years of real engagements, and tells us exactly where professional standards would push back — and why.
Your input directly shapes how AI handles SOX compliance for public companies. That influence starts on day one.
What You Will Actually Do
Review AI-generated workpaper interpretations against real audit standards. The system parses uploaded Excel workpapers and makes decisions: which tab is the testing table, which rows are samples, which variance is an exception. You will tell us when those decisions are audit-defensible and when they are not.
Define ground truth across control types. Reconciliation controls, management review controls, IT access reviews, three-way match, segregation of duties — each behaves differently. You will tell us what a correct result looks like for each, and provide real workpaper examples where possible.
Challenge the AI's exception logic. When the system flags a variance as an exception, is it? When it concludes a control is effective with limited samples tested, should it? You provide the professional judgment the engineering team cannot.
Shape the product roadmap. You will identify gaps between what auditors actually need and what the system currently produces. Those gaps become the next build cycle.
Who This Is For You have 5+ years of hands-on SOX audit experience , including direct workpaper preparation and review — not just oversight. You know what a PCAOB reviewer looks for because you have been in that room.
You came up through a Big 4 or equivalent top-tier firm (EY, PwC, Deloitte, KPMG, or a national practice with equivalent SOX depth). You hold a CPA and have worked across multiple clients and control environments, not just one industry.
You are intellectually curious about what AI gets wrong — not defensive about it. You see the potential for AI in audit and want to be part of getting it right from the beginning, before the standards catch up.
Minimum Qualifications
5+ years SOX compliance and financial audit experience, hands-on
Big 4 or equivalent top-tier firm background required
Deep working knowledge of PCAOB standards and COSO framework
CPA certification required
Experience spanning multiple control types, not single-domain
Preferred Experience leading SOX workstreams for mid-to-large cap public companies
Former senior associate or manager level — you reviewed others' workpapers
Exposure to control testing automation or GRC tools
Intellectual interest in where AI belongs — and doesn't belong — in regulated workflows
Full job record
| Job ID | 26ca7c36190c401e751408c4d0572aebeb05280d |
| Org ID | 44cb1ea6-3421-4ac9-a1be-cf2a587df0f3 |
| Source ID | 2d6a1bb4-0c8c-410c-8391-c465989e61bf |
| Board ID | 2d6a1bb4-0c8c-410c-8391-c465989e61bf |
| Provider | ashby |
| Provider Job Key | 4a3a7ab4-0a86-49a4-aa80-8df4b9f2ab3d |
| Title | SOX Audit Expert |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Palo Alto, CA |
| Department | Finance & Audit |
| Team | Finance & Audit |
| Employment Type | contract |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Palo Alto |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/nace.ai/4a3a7ab4-0a86-49a4-aa80-8df4b9f2ab3d |
| Apply URL | https://jobs.ashbyhq.com/nace.ai/4a3a7ab4-0a86-49a4-aa80-8df4b9f2ab3d/application |
| First Seen At | 2026-05-29 05:51:29Z |
| Last Seen At | 2026-06-06 19:43:40Z |
| Last Checked At | 2026-06-06 19:43:40Z |
| Last Changed At | 2026-05-29 05:51:29Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=nace.ai/date=2026-06-06/2026-06-06T19-43-38-815Z-99f8ed4552a6a4653fc0bf69fe5f65e59534464363bb6600e96435571fe9881c.json |
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