Fieldguide

Software Engineer, Internal Audit (All Levels)

Fieldguide · USA

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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

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