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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. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.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. This is a forward-deployed engineering pilot where you own the make-vs-buy strategy and write the playbook for how AI transforms non-technical functions company-wide.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+ entitiesArchitect 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 outputBuild integrations with core financial systems (NetSuite, Workday, Anaplan), designing data pipelines from sub-ledger through GL, consolidation, and multi-GAAP reportingDefine 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 concernsPartner 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 stakeholdersRequired 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 pipelinesProven track record deploying LLM-based applications in production with evaluation frameworks, hallucination guardrails, and human-in-the-loop design for high-stakes outputsMulti-agent orchestration experience, including systems where agents collaborate, hand off tasks, and escalate to humans through state-managed approval workflowsFinancial 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 expertsUtilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
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