Senior Staff Software Engineer, Finance Automation

Ready to do the most impactful work of your career?

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

As the founding engineer for Finance Automation inside Coinbase's FP&A & Treasury organization, you'll architect the AI-native platform that transforms how the company plans, allocates resources, and manages liquidity. Reporting to the VP of FP&A & Treasury, you'll set the technical direction for how FP&A scales planning, cost allocation, headcount systems, and treasury operations without scaling headcount.

Responsibilities

• 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
• 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.