Accounting Engineer
New
O
OathAudit AI
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2–6 years of audit or related experience
- Required Skills
- Financial Management
Requirements
- 2–6 years of audit or related experience with a foundation in audit methodology.
- General familiarity with the audit process or related functions such as IT audits and financial management.
- Experience applying audit background outside a traditional audit environment (industry, consulting, innovation roles, etc.).
- Strong analytical skills and exceptional attention to detail.
- Comfort working with technology, AI tools, and iterative, fast-changing workflows.
- Excellent written communication skills for documenting judgment calls.
- Strong client-facing skills including onboarding and building trust.
- Preferred: Hands-on experience using AI tools to improve audit or analytical work.
- Preferred: Well-reasoned opinions about inefficiencies or gaps in traditional audit practice.
- Preferred: Track record of designing processes, templates, checklists, or systems that others adopted.
- Preferred: Experience in a startup or other fast-paced, unstructured environment.
Responsibilities
- Onboard new clients onto the Oath platform, guiding them through setup, workflows, and first engagements.
- Serve as a trusted point of contact for clients on methodology questions and platform usage.
- Help clients interpret AI-generated work product and build confidence in the platform over time.
- Identify friction in the onboarding experience and feed it back into product improvements.
- Execute verification and audit procedures directly, ensuring engagements meet professional standards.
- Review and validate AI-generated audit procedures, workpapers, and documentation for accuracy and completeness.
- Identify gaps, errors, inconsistencies, and edge cases in AI-generated audit outputs.
- Track professional standards (GAAS, PCAOB, IAASB) and ensure outputs stay current.
- Partner with engineering and product to translate audit expertise into AI accuracy, reliability, and audit-awareness.
- Build quality review frameworks, checklists, and methodologies purpose-built for AI-assisted audits.
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