---
title: 'Software Engineer, Internal Audit (All Levels) at Fieldguide'
canonical: 'https://feeny.ai/job/software-engineer-internal-audit-all-levels-fieldguide-san-francisco-ca-or-x8aepndaskdb'
type: 'job'
last_seen: '2026-09-21'
---

# Software Engineer, Internal Audit (All Levels) at Fieldguide

- **Company:** Fieldguide
- **Location:** San Francisco CA OR, United States
- **Compensation:** $160k–$280k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-17
- **Last confirmed live:** 2026-09-21
- **Apply:** https://jobs.ashbyhq.com/fieldguide/c7af5e2a-7522-4c8c-91f0-2c3542d42548

## Job description

## About Us

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses. We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide's team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.

## About the Role

You'll join a genuine 0→1 team on the ground floor of one of the company's biggest new bets. You will work full-stack on long-horizon agents, ship features that do real audit work, and work alongside practitioners. Depending on your experience and what you're looking to own, you may join building within a major agent area, owning one end-to-end, or setting technical direction for agentic audit work across the team. We're hiring across all levels and will calibrate during interviews based on scope and demonstrated experience.

## What You'll Do

- Design and build agent-driven experiences for SOX control testing, deciding where autonomy makes sense and where the auditor stays in the loop
- Own complex, end-to-end workstreams across the full stack
- Make long agentic runs trustworthy: improve reliability, repeatability, performance, and observability so the same evidence produces the same defensible conclusion every time
- Turn agent output into finished audit deliverables, including structured workpapers that adapt to whatever template a firm brings
- Ship code from day one and ramp quickly into full ownership of significant product areas
- Collaborate daily with product managers, designers, and SOX subject matter experts to work through difficult domain problems
- Help shape technical direction and contribute to how the team thinks about agentic systems, AI tooling, and engineering best practices

## Who You Are (All Levels)

- A strong full-stack engineer who writes code every day and wants to continue doing so
- You've built with LLMs in production, not just in prototypes. You know what breaks when real users and real documents hit an agent
- Comfortable in ambiguous, fast-moving environments where you figure things out as you go
- Energized by 0→1 work: you'd rather define the problem than inherit a spec
- High degree of ownership; you don't wait to be told what to do
- A genuine team player across the organization, not just within engineering. You'll work directly with PM, design, domain experts, and customer-facing teams, and you treat that as the best part of the job
- Able to pick up complex domain concepts quickly. You don't need to know SOX or internal controls, but you're the kind of person who can internalize it fast
- Already using AI coding tools in your workflow and curious about where agentic approaches create real leverage

Higher-Level Responsibilities At the Senior level, you may:

- Lead complex projects or systems, setting technical direction and ensuring long-term health
- Collaborate with PMs and designers to shape roadmaps and define architectural tradeoffs
- Serve as a domain expert within one or more technical areas (e.g., agent orchestration, evaluation and quality, document processing, frontend architecture)
- Mentor other engineers and help raise the technical bar across the team

At the Staff level, you may:

- Drive company-level technical initiatives and influence cross-team architecture
- Set and champion engineering standards for scalability, security, and performance
- Partner with engineering and product leadership to define long-term technical strategy
- Serve as a trusted advisor to leaders across Engineering, Product, and Design
- Represent Fieldguide externally through writing, speaking, and open-source contributions

## Experience

Must-have:

- Shipped LLM-backed product features to production against real users
- Comfortable full-stack, with enough backend depth to work in agent orchestration
- Autonomy working from an ambiguous spec
- A collaborative mindset with an ability to work across PM, design, and domain experts
- Willingness to develop an Applied AI skillset including writing evals, using LLM observability tools, and being thoughtful about quality

Nice-to-have:

- Startup experience, as a founder or as an early engineer
- A track record of 0→1 projects you took from nothing to something people use
- Experience working directly with customers, and comfort being in the room when they use what you built
- Experience in internal audit, SOX, financial services, accounting, or compliance
- Familiarity with our stack: TypeScript, React, GraphQL, Node.js, PostgreSQL, Python, and Temporal
- Experience with document processing, PDF/Excel manipulation, or evaluation frameworks for model output

Not a fit if:

- You’re not interested in deeply learning about Agents
- You’ve never built a product to scale
- You need a fully specified ticket to start
- You'd rather not be in the room with customers and domain experts

What Should Excite You

- 0→1 on the biggest bet: You're building the agent and the product from scratch, on the ground floor of where the company is going
- Real audit stakes: Your work directly affects what firms put in front of their clients, and what a reviewer is willing to sign
- Customer proximity: Design-partner firms and an embedded SOX expert use what you ship within days of it landing
- High trust, high autonomy: You're given ambiguous problems and trusted to define the plan

## Benefits

- Competitive compensation with equity
- Comprehensive health and wellness benefits
- Flexible time off and work schedules
- Technology reimbursements
- 401(k) plan
- Twice-yearly in-person offsites across the U.S.
- Wellness benefits starting on your first day

## Our Values

- Fearless — Inspire and break down seemingly impossible walls
- Fast — Launch fast with excellence; iterate to perfection
- Lovable — Deliver happiness and 11-star experiences
- Owners — Execute and run the business with ownership
- Win-win — Create mutual value and earn trust for life
- Inclusive — Scale the best ideas with inclusive teams

## About Fieldguide

## Company Overview
- **One-liner**: Fieldguide is an AI-native platform that automates audit and advisory engagements for professional services firms, replacing manual workflows with agentic AI and collaborative tools.
- **Entity Type**: Private (Series C, $125.3M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Jin Chang (CEO/Co-Founder) and Chris Szymansky (CTO/Co-Founder)

## Core Business
- **Primary Industry**: Vertical AI for Audit & Advisory (Regulatory Compliance, Risk Advisory, Financial Audit, SOC Readiness, IT Audit, Cybersecurity & Privacy, ESG)
- **Target Customers**: B2B — Audit and advisory practices (CPA firms, risk advisory firms, internal audit teams) ranging from top 100 firms to regional practices. Clients include KPMG, RSM US LLP, Baker Tilly, BDO, Grant Thornton, Forvis Mazars, CLA, CohnReznick, and many others.
- **Mission/Purpose**: "Increase trust in commerce and capital markets" by amplifying the assurance and advisory engagement experience through automation and AI.

## Products & Services
- **Fieldguide AI Platform**: The core end-to-end engagement management platform where practitioners and AI agents work together. Covers planning, testing, evidence review, reporting, and client collaboration.
- **Field Agents (Agentic AI)**: Purpose-built AI agents that automate end-to-end test procedures — validating evidence, summarizing results, and flagging exceptions. Includes Testing Agents, Substantive Testing Agents, Request Agents, and Agentic Chat.
- **AI Actions**: Handles recurring tasks across entire workpapers (drafting walkthroughs, suggesting test plans).
- **Client Hub**: Automated modern request management with a client-facing portal.
- **Reporting Automation**: One-click collaborative report generation.
- **Document Management**: Enterprise-grade workpaper management.
- **End-to-End Engagement Management**: Centralized platform for planning, execution, and delivery across every practice area and methodology.

## Market Standing
- **Valuation**: Not disclosed (last round: Series C, $75M, announced February 2026)
- **Total Funding**: $125.3M (8 rounds)
- **Key Metric**: Annual Revenue of $7.5M (156 employees)
- **Notable Investors**: Growth Equity at Goldman Sachs Alternatives (lead, Series C), Bessemer Venture Partners, 8VC, Thomson Reuters, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries. Corporate investment from KPMG (2025).
- **Growth Signals**: 64.5% YoY headcount growth (+78 people); 50% of the top 100 firms trust Fieldguide; 32% reduction in engagement hours for customers; 70% reduction in manual testing time; 95% reduction in manual testing time for certain workflows; error rate of less than 1% versus manual processes; 5-time winner of CPA Practice Advisor Technology Innovation Award.

## Competitive Advantages
- **Vertical AI Moat**: Purpose-built for regulated audit and advisory environments, not a generic AI tool. Field Agents are trained on industry standards (SOX, HIPAA, FFIEC, HITRUST, PCI DSS) and firm methodologies.
- **Founder-Market Fit**: Both co-founders have deep industry experience — Jin Chang spent 5 years at EY in audit & advisory; Chris Szymansky has a technical background and founded a crypto tax automation company.
- **Network Effects**: As more firms use the platform, the AI agents improve across methodologies and regulatory frameworks, creating a data moat.
- **Top-Tier Customer Base**: Already adopted by 50% of the top 100 firms, including Big Four (KPMG) and national leaders (RSM, Baker Tilly, BDO, Grant Thornton), providing credibility and a strong reference base.
- **Capital & Strategic Backing**: Backed by Goldman Sachs Alternatives, Bessemer, 8VC, and a strategic investment from KPMG — signaling both financial strength and industry validation.

## Strategic Focus
- **Agentic AI First**: Doubling down on autonomous AI agents that execute testing, documentation, and evidence review, allowing practitioners to focus on judgment and client impact.
- **Platform Expansion**: Moving beyond audit into risk advisory, SOC, ESG, cybersecurity, and other assurance practices — becoming the single platform for all trust services.
- **Geographic Growth**: Expanding presence with offices/hubs in San Francisco (HQ), Denver, New York, Seoul, Los Angeles, Austin, Detroit, Pittsburgh, Toronto, London, Seattle, and Singapore.
- **Talent Acquisition**: Aggressively hiring (+105.6% YoY job posting growth) across engineering, customer success, sales, and marketing to scale the platform.

## Why Work Here
- **Mission-Driven**: Work that directly increases trust in commerce and capital markets — a meaningful, high-impact problem.
- **Remote-Friendly Culture**: Described as a "remote-friendly, global company" with hubs across the US, Canada, UK, Ireland, South Korea, and Singapore. Not fully remote but flexible.
- **Strong Engineering Culture**: Cross-functional teams with autonomy and focus on core metrics. Engineers work on cutting-edge agentic AI problems in a high-regulation environment.
- **Learning Opportunity**: Daily exposure to industry experts (former auditors on staff) who share knowledge — no prior audit experience needed.
- **Perks & Benefits**: Competitive compensation, stock options, flexible PTO, wellness benefits, technology reimbursement, company offsites.
- **Culture Values**: "Loveable" (create mutual value, earn trust), "Fearless" (inspire, break down walls), "Fast" (launch fast, iterate to perfection), "Inclusive" (scale best ideas with inclusive teams), "Owners" (execute with ownership), "Deliver happiness & 11 star experiences."
- **Talent Density**: Team includes alumni from Meta, Amazon, Brex, Carta, EY, Thomson Reuters, FloQast, LaunchDarkly — high-caliber peers.

## Sources
1. [fieldguide.io](https://www.fieldguide.io/)
2. [fieldguide.io/about](https://www.fieldguide.io/about)
3. [fieldguide.io/careers](https://www.fieldguide.io/careers)
4. [linkedin.com/company/fieldguide-inc](https://www.linkedin.com/company/fieldguide-inc)
5. [ycombinator.com/companies/fieldguide](https://www.ycombinator.com/companies/fieldguide)

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