Senior Software Engineer

A high-ownership engineering seat where each senior engineer takes full responsibility for a finance domain - from the LLM pipeline and infrastructure through to the customer-facing surface - working directly with controllers, accountants, and CFOs to understand the problem before building the system. No PM writing specs, no architecture committee. The work sits at the frontier of hard backend problems: building AI agents that finance teams and auditors can trust, turning messy enterprise integrations into a unified source of truth, and orchestrating durable, replay-safe workflows across flaky stateful systems.

What you’ll be doing

• Own a finance domain end-to-end (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ship it with a pod of two to three engineers
• Design and build AI agents that reason across fragmented financial data, with verification, guardrails, observability, and evaluation systems for non-deterministic outputs
• Ingest, normalize, and reconcile data from ERPs, banks, payroll platforms, billing systems, CRMs, and email into a unified financial context layer
• Ship idempotent, audit-ready write-backs to systems of record with full traceability
• Sit directly with controllers and finance teams to learn workflows, then translate that understanding into shipped software
• Operate AI coding agents fluently as a daily part of the engineering workflow

Tech stack: Python (backend engineering also in modern languages such as Go, Java, or Rust)

• 5+ years backend or infrastructure engineering
• Seed-to-Series B startup OR high-growth company (Rubrik, Databricks, Ramp, Brex) OR top large-tech (Meta, Google, Stripe, LinkedIn)
• Hard backend systems: distributed pipelines, ledger/transactional systems, integration platforms, or workflow engines
• Resume showing architecture detail and clear personal ownership
• NYC in-person
• Fintech, ERP, or accounting-software background a strong plus
• Startup hours, 6 days a week, 9am to 7pm or 8pm

Green Flags

• Startup or high-growth pedigree with real ownership
• Hard backend systems builder
• Domain depth in finance, fintech, or enterprise integrations
• Production AI agent experience

Red Flags

• Frontend-heavy background with shallow backend depth
• Resume lists technologies without depth or ownership evidence
• Multiple short stints (more than one role under one year)

Pulled from the full job description

• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance, * Full domain ownership end-to-end - no PM writing specs, no architecture committee
• Frontier backend problems: trustworthy AI agents for finance and audit, unifying messy enterprise integrations, durable replay-safe workflows
• Full medical, dental, and vision (employees and dependents), 401(k) with employer match, competitive equity, meals and a stocked NYC office

A seed-stage startup building an AI operating system for the office of the CFO - connecting to a company’s existing finance stack to automate the order-to-cash cycle, record-to-report process, treasury management, and financial reporting. Its unified finance-context layer captures transactions, policies, contracts, and accounting judgment, powering audit-ready AI agents that reason over financial data, explain their decisions, and escalate uncertainty.

Founded 2023 · 1-10 people · Industry: AI Tools