Software Engineer, Internal Audit (All Levels)

Fieldguide · USA · Remote

SeniorFinance & accountingOver a month ago

What they ask for

LLMsAccounting · nice to haveExcel · nice to haveGraphQL · nice to haveJavaScript · nice to haveNode.js · nice to havePostgreSQL · nice to havePython · nice to haveReact · nice to haveTypeScript · nice to have

About the role

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

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