# Senior Staff Software Engineer, Finance Automation

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $254k – $299k/yr
**Experience:** 12+ years
**Skills:** backend engineering, Distributed Systems, llm applications, multi-agent orchestration, Evaluation Frameworks, human-in-the-loop, NetSuite, Workday, anaplan, ERP Systems, SOX Compliance, Data Pipelines
**Posted:** 2026-07-22

> Founding engineer building an AI-native platform to automate Coinbase's finance workflows (period-close, reconciliation, regulatory filings). Architect governed LLM agents with SOX-compliant controls, integrate with ERP systems, and set technical direction for FP&A/Treasury as an embedded engineer.

## Job Description

## What you'll do

- Own the design and delivery of AI agents that automate high-volume Finance workflows including period-end close, GL reconciliation, intercompany eliminations, and regulatory filing drafts across 60+ entities
- Architect a governed agent platform with observability, evaluation frameworks, grounding strategies, and human-in-the-loop controls that meet SOX audit requirements for every automated financial output
- Build integrations with core financial systems (NetSuite, Workday, Anaplan), designing data pipelines from sub-ledger through GL, consolidation, and multi-GAAP reporting
- Define compliance-grade engineering patterns where every agent action is traceable, reviewable, and defensible to auditors, with segregation of duties and evidence requirements as first-class concerns
- Partner with FP&A and Treasury leadership as the technical thought partner who translates ambiguous, spreadsheet-based workflows into engineered systems and communicates tradeoffs to non-technical stakeholders

## Required Skills and Experience

- 12+ years of backend software engineering with production systems at scale, including demonstrated experience building reliable distributed systems and idempotent document-processing pipelines
- Proven track record deploying LLM-based applications in production with evaluation frameworks, hallucination guardrails, and human-in-the-loop design for high-stakes outputs
- Multi-agent orchestration experience, including systems where agents collaborate, hand off tasks, and escalate to humans through state-managed approval workflows
- Financial systems literacy covering ERP data flows, reconciliation logic, trial balances, and the architectural constraints of SOX-controlled environments (does not need to be a CPA, but must be eager to learn)
- Demonstrated success operating as a solo or embedded engineer in a non-engineering org, setting technical direction autonomously and communicating effectively with non-technical domain experts
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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