Most AI companies are building copilots.
Hyphenate is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack—ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack—and automate the work behind the entire order-to-cash process, record-to-report process, treasury management, financial reporting, and audit readiness.
The goal isn't to help the finance team write better prompts.
The goal is for finance teams to review exceptions while AI does the rest.
What makes Hyphenate different is our Unified Finance Context—a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment.
What you'd do
- How do you build AI agents that finance teams and auditors can trust? Verification, guardrails, observability, and evaluation systems for non-deterministic AI.
- How do you give an agent the right financial context? Context engineering over transactions, ledgers, contracts, policies, and historical decisions—without bloat, drift, or data leakage.
- How do you turn messy enterprise systems into a unified source of truth? Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.
- How do you build agents that get better over time? Systems that explain their reasoning, escalate uncertainty instead of guessing, and improve measurably from human corrections.
- How do you orchestrate durable AI workflows in the real world? Long-running, replay-safe workflows across flaky, stateful enterprise systems.
- How do you safely write back to systems of record? Idempotent, audit-ready updates to ERPs and financial systems with full traceability.
- The engineer who can't operate AI agents fluently is becoming obsolete, fast. Fluency with Claude Code, Cursor, and internal agent tooling is a second cortex. Come knowing how to use them; leave knowing how to build with them.
- "Backend vs. frontend" is dissolving. The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.
- The pod is the unit of leverage. Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them.
- The accountant + engineer loop is the moat. Engineers who sit with controllers and build from what they see compound faster than the ones who don't. That starts on day one, not after you've "earned" customer access.