--- title: 'Financial Audit Consultant at Nace AI' canonical: 'https://feeny.ai/job/financial-audit-consultant-nace-ai-palo-alto-xd0vjpcf326t' type: 'job' last_seen: '2026-09-10' --- # Financial Audit Consultant at Nace AI - **Company:** Nace AI - **Location:** Palo Alto, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-29 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/nace.ai/39e24d83-e07f-4a57-8db1-4a39ba36cc67 ## Job description Financial Audit Consultant Engagement: 2 weeks · 8 hours/week Compensation: Competitive hourly rate Location: Palo Alto, CA The opportunity We are building an AI-native platform for financial statement audit — one where an AI agent reads an audit workpaper, identifies the relevant assertions, evaluates evidence quality, flags potential misstatements, and generates GAAS-defensible documentation. 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 financial 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 financial audit for public and private 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 audit workpapers and makes decisions: which procedures address which assertions, what constitutes sufficient appropriate evidence, and where a potential misstatement exists. You will tell us when those decisions are audit-defensible and when they are not. Define ground truth across account types and audit areas. Revenue recognition, accounts receivable confirmations, inventory observations, debt covenants, management estimates, related-party disclosures — each behaves differently under AU-C standards. You will tell us what a correct result looks like for each, and provide real workpaper examples where possible. Challenge the AI's risk and exception logic. When the system identifies a transaction as potentially misstated, is it? When it concludes that substantive procedures are sufficient without further testing, 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 financial audit experience, including direct workpaper preparation and review — not just oversight. You know what a peer reviewer or regulator 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 audit depth). You hold a CPA and have worked across multiple clients and industry verticals, not just one sector. 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 of financial statement audit experience, hands-on - Big 4 or equivalent top-tier firm background required - Deep working knowledge of GAAS, AU-C standards, and PCAOB where applicable - CPA certification required - Experience spanning multiple audit areas and account types, not single-domain ## Preferred - Experience leading audit engagements for mid-to-large cap public or private companies - Former senior associate or manager level — you reviewed others' workpapers - Exposure to audit analytics, data-driven testing, or audit technology platforms - Intellectual interest in where AI belongs — and doesn't belong — in regulated workflows ## About Nace AI ## Company Overview - **One-liner**: Nace AI builds long-horizon reasoning models and AI agents that audit, reconcile, and report on financial and compliance data for enterprises. - **Entity Type**: Private (Seed / Series A – $21.5M raised in 2026) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2024 - **Founders**: Zhanibek Datbayev (CTO/Co-Founder), Ritesh Shrivastava (Co-Founder), Sudha Valluru (COO/Co-Founder), Swathi B (Co-Founder), and others ## Core Business - **Primary industries**: Audit, Compliance, Finance, Accounting, Enterprise AI - **Target customers**: B2B enterprise – specifically audit firms, finance departments, compliance teams, and professional services firms - **Mission**: Build long-horizon AI that runs organizations; give professionals their time back by automating high-stakes knowledge work ## Products & Services - **Metamodel**: A specialized small language model (SLM) platform that enterprises can customize with their own policies and knowledge. Used for audit, contract governance, and financial reporting. - **Agentic Accounting**: AI agent that executes end-to-end financial audits, billing audits, and revenue leakage detection by connecting directly to databases. - **Nace Verification Intelligence**: Evidence-based reasoning engine that processes up to 1 million files (PDFs, spreadsheets, databases) to automate SOX 404 reports, contract compliance checks, and due diligence. - **Nace Process Automation**: Automatically maps transaction flows across 10+ disparate databases to visualize and reconcile processes. - **The Macros**: A research preview product that lets power users create custom AI macros for repetitive professional tasks. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding raised – $21.5M (May 2026 round led by Walden Catalyst Ventures, with participation from General Catalyst, AME Cloud Ventures, AICONIC VENTURES); earlier $5M seed round (April 2025) led by General Catalyst. - **Notable Investors/Partners**: General Catalyst, Walden Catalyst Ventures, AME Cloud Ventures, AICONIC VENTURES - **Growth Signals**: - Launched from stealth in March 2025 with Metamodel 1 - Raised $21.5M within 14 months of founding - Operations in 7 countries (US, Kazakhstan, India, Canada, Germany, Ukraine, Georgia) - 2,574 LinkedIn followers (+141% YoY) - Active job postings for senior roles (Product Manager, Audit Consultant, Growth Lead) ## Competitive Advantages - **Metamodel approach**: Enterprises can turn internal policies and employee knowledge into custom, on‑premise AI models, enforcing consistency and accuracy. - **Evidence‑based reasoning**: The system explains exactly where it looked and why – building trust in regulated environments (SOC 2 Type II, AICPA audited infrastructure). - **Small model efficiency**: Uses specialized small language models (SLMs) instead of massive general LLMs, making deployments faster, cheaper, and compliant with data sovereignty requirements. - **End‑to‑end automation**: Covers the entire audit workflow – from raw database ingestion to boardroom‑ready reports – without any manual spreadsheet work. ## Strategic Focus - **Scale the Metamodel platform**: Turn enterprise policies into custom AI agents for every department. - **Expand into adjacent compliance verticals** (tax, due diligence, contract governance). - **Grow the team** across engineering, product, and go‑to‑market roles (currently 39–50 employees, with a heavy technical tilt of ~45%). - **Maintain on‑premises / hybrid cloud deployments** to meet strict regulatory requirements of audit and finance clients. ## Why Work Here - **Culture**: Fast‑paced research‑first environment assembling a “world‑class team” to solve high‑stakes scaling challenges in AI reasoning. - **Work model**: Hybrid workspace (Palo Alto offices); many roles are in‑office for close collaboration on complex ML and product work. - **Team composition**: Heavy technical concentration (45% of staff are engineers/researchers), with deep domain expertise from ex‑Dropbox, Bloomberg, McKinsey, and AI labs. - **Impact**: Build infrastructure that gives audit, compliance, and finance professionals their time back – directly reduces manual drudgery in multi‑billion‑dollar compliance markets. - **Perks**: Not explicitly detailed, but the company emphasizes “autonomy, impact, and working on the hardest AI problems in enterprise.” ## Sources 1. [nace.ai](https://nace.ai/) 2. [nace.ai/careers](https://nace.ai/careers) 3. [LinkedIn – Nace AI](https://www.linkedin.com/company/nace-ai) 4. [Built In – Nace.AI](https://builtin.com/company/nace-ai) 5. [Jobs.ashbyhq.com – Nace AI](https://jobs.ashbyhq.com/nace.ai) ## Other roles at Nace AI - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-nace-ai-palo-alto-q8d26ckgppqq) — Palo Alto, CA - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-nace-ai-palo-alto-8py4nbage3rw) — Palo Alto, CA - [Senior MLOps Engineer](https://feeny.ai/job/senior-mlops-engineer-nace-ai-palo-alto-x8adzytpzn63) — Palo Alto, CA - [Senior Product Designer (AI & Prototyping)](https://feeny.ai/job/senior-product-designer-ai-prototyping-nace-ai-palo-alto-g533v3r04kqy) — Palo Alto, CA - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-nace-ai-palo-alto-w9tkfpeqqv2f) — Palo Alto, CA - [Growth Marketing Lead](https://feeny.ai/job/growth-marketing-lead-nace-ai-palo-alto-7bw1bwfdqydv) — Palo Alto, CA - [Valuation Due Diligence Expert](https://feeny.ai/job/valuation-due-diligence-expert-nace-ai-palo-alto-c51g3m2xy7q0) — Palo Alto, CA - [SOX Audit Expert](https://feeny.ai/job/sox-audit-expert-nace-ai-palo-alto-3tznenh4xa5w) — Palo Alto, CA - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-nace-ai-palo-alto-vsa8p0mak591) — Palo Alto, CA - [Tax Consultant](https://feeny.ai/job/tax-consultant-nace-ai-palo-alto-hryt0rr498zw) — Palo Alto, CA