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Oath

Senior Accounting Engineer

Posted 22 days ago
5-10 years experience
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AI Summary

The Senior Accounting Engineer will lead complex client engagements and define the audit methodology and accuracy standards for AI-driven audit systems. They are responsible for reviewing AI-generated workpapers, ensuring compliance with auditing standards, and mentoring the accounting engineering team.

About the Role

Oath is building AI that transforms the audit industry. We're looking for a senior accounting and audit professional to own the work where clients, audit judgment and AI meet: leading client engagements end to end, standing behind the verification and audit procedures that keep our work defensible, and setting the methodology that engineering and product build into our AI systems.

This isn't a traditional senior or manager role. You won't spend your days reviewing a staff team's workpapers. You'll decide how AI should perform an audit procedure, define what "right" looks like, and prove it with evidence a reviewer, regulator or peer reviewer would accept.

This is an early, senior hire at a startup. Expect wide scope, real ambiguity and direct influence over how the firm and the platform work. We're looking for people who turn hard, unstructured problems into systems others can rely on.

What Makes This Role Senior

The Senior Accounting Engineer owns outcomes where the Accounting Engineer executes and contributes.

Area

Accounting Engineer

Senior Accounting Engineer

Clients

Onboards clients and answers platform questions

Owns client portfolios end to end; handles escalations and complex or first-of-kind engagements

Audit work

Executes procedures and reviews AI output

Signs off on procedures and AI output as reviewer; makes the judgment calls on scope, risk and evidence

Methodology

Follows and documents best practices

Writes and maintains methodology and quality review standards

Product & AI

Supplies ground truth and feedback

Sets accuracy requirements, designs evals and decides when an AI workflow is ready for client use, build modules using AI and tech tools

People

Individual contributor

Mentors Accounting Engineers and reviews their work

Relevant Experience

2–6 years

6–10+ years; CPA required

Responsibilities

Client leadership

  • Own a portfolio of client relationships from onboarding through engagement completion and renewal.

  • Lead complex, high-stakes or first-of-kind engagements, and be the escalation point when clients or teammates hit hard methodology questions.

  • Explain AI-generated work product to client finance teams and fund managers, and build their confidence in how it was produced.

  • Turn patterns across clients into product and process changes, with clear priorities for engineering.

Audit quality & judgment

  • Plan engagements: assess risk, set materiality and scope procedures across private funds and SPVs, private companies, employee benefit plans, governments and nonprofits.

  • Act as reviewer on verification and audit procedures and AI-generated workpapers; sign off on them before they reach clients or engagement partners.

  • Make and document the judgment calls on sufficiency and appropriateness of evidence, so a peer reviewer can follow your reasoning.

  • Track AICPA auditing and attestation standards and firm quality management policies, and keep our methodology and AI workflows current with them.

Methodology & AI systems

  • Write and maintain the audit methodology, work programs and quality review standards our AI workflows are built on.

  • Define accuracy requirements with engineering and product, and design the evals and test cases that prove an AI workflow is reliable.

  • Build modules and prototypes using AI and technology tools.

  • Decide, with the engagement partner, when a new AI-assisted procedure is ready for client use — and when it isn't.

  • Build feedback loops so every engagement improves the system.

Team

  • Mentor Accounting Engineers, review their work and raise the team's standard of judgment.

  • Help hire, interview and onboard new team members.

  • Grow our internal knowledge base so what one person learns, everyone can use.

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