Software Engineer, Internal Audit (All Levels)

United States Digital Space LLC

United States

Remote

USD 180,000 - 260,000

Full time

4 days ago

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Benefits offered by this job

Competitive compensation with equity

Comprehensive health and wellness bene

Flexible time off and work schedules

Technology reimbursements

401(k) plan

Twice‑yearly in‑person offsites across

Wellness benefits starting on your第一日

Job summary

United States Digital Space LLC is seeking a senior full-stack engineer to build agent-driven experiences for SOX/audit workflows. You’ll ship end-to-end features from day one, collaborating with product managers, designers, and subject-matter experts on a ground-floor product.

You will work in a remote-first environment based in San Francisco, with scope across the US, owning significant product areas and guiding architectural decisions for agent orchestration and AI tooling.

Qualifications

Shipped LLM-backed features to production with real users.
Full-stack capability with backend depth for agent orchestration.
Autonomy in ambiguous environments and specs.
A collaborative mindset across PMs, design and domain experts.
Develop Applied AI skills including evals and LLM observability.

Responsibilities

Design and build agent-driven experiences for SOX control testing.
Own complex end-to-end workstreams across the full stack.
Improve reliability, repeatability, performance, and observability of agentic systems.
Turn agent output into structured audit deliverables.
Ship code from day one and own significant product areas.
Collaborate daily with PMs, designers, and SOX subject matter experts.

Skills

LLM features

Full-stack

Autonomy

Collaboration

Applied AI

Tools

LLM observability tools

Job description

About Usthe company 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 the company 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. the company’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 the company externally through writing, speaking, and open‑source contributions

ExperienceMust‑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