Forward Deployed Engineer, Finance [Office of the CTO]
Coinbase's FP&A & Treasury organization manages financial planning and analysis across 60+ global subsidiaries, period-end close, GL reconciliation, intercompany eliminations, regulatory filings, budgeting, forecasting, and treasury operations. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Finance. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the FP&A & Treasury org. You'll be the connective tissue between Finance stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one.
What you'll do:
Embed with FP&A and Treasury leadership to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like period-end close, variance analysis, and liquidity stress-testing before writing a single line of code.
Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds.
Own the Finance automation roadmap in partnership with the VP of FP&A & Treasury, translating complex financial workflows — budgeting cycles, GL reconciliation, multi-entity consolidation, regulatory filing drafts — into engineering requirements and engineering constraints back to stakeholders clearly.
Define the build-vs-buy strategy for Finance tooling, evaluating what Coinbase should build internally, adopt from partner teams, procure from vendors, or retire.
Ensure every automated financial output is traceable, reviewable, and defensible to auditors — with SOX compliance, segregation of duties, and human-in-the-loop controls as first-class design concerns.
Drive adoption through brown-bags, prototype walkthroughs, and feedback loops that bring FP&A and Treasury teams along on the journey and ensure tools actually get used.
Required Skills and Experience:
5+ years of software engineering experience with a demonstrated ability to ship production systems in ambiguous, stakeholder-heavy environments, with greenfield experience a strong plus.
Hands-on experience deploying LLM-based applications, including prompt engineering, evaluation frameworks, hallucination guardrails, and human-in-the-loop design for high-stakes financial outputs.
Proven ability to embed with non-technical domain experts, rapidly internalize complex workflows, and translate them into engineering requirements.
Familiarity with financial systems concepts: ERP data flows (NetSuite, Workday, Anaplan), reconciliation logic, trial balances, and SOX-controlled environments
Does not need to be a CPA, but should be open to learning
Familiarity with multi-agent orchestration concepts including how agent systems handle handoffs, escalation, and auditability
Experience in a Forward Deployed Engineering, Solutions Engineering, or embedded technical advisory capacity, ideally in fintech, finance-tech, or enterprise automation environments.
Utilizes 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)).
Annual base salary range (excluding equity and bonus):
$218,025—$256,500 USD