Forward Deployed Engineer, Legal [Office of the CTO]

Ready to do the most impactful work of your career? Athttps://www.coinbase.com/careers.

Coinbase’s Legal organization manages corporate governance across 60+ global subsidiaries, public company reporting, institutional client agreements, and product counsel for every product group. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Legal. 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 Legal org. You’ll be the connective tissue between Legal 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 Legal leadership to surface the automation opportunities with the greatest business leverage - developing ground-level understanding of workflows like contract review, regulatory filing drafts, and subsidiary governance.

• Prototype quickly and pragmatically using Coinbase’s existing AI platform as the default foundation before recommending net-new builds.

• Own the Legal automation roadmap in partnership with the VP of Legal and CCO, translating complex legal workflows - entity management, litigation tracking, product counsel reviews, compliance reporting - into engineering requirements and engineering constraints back to stakeholders clearly.

• Define the build-vs-buy strategy for Legal tooling, evaluating what Coinbase should build internally, adopt from partner teams, procure from vendors, or retire.

• Ensure every automated legal output is traceable, reviewable, and defensible - with privilege boundaries, auditability, and human-in-the-loop controls as first-class design concerns.

• Drive adoption through brown-bags, prototype walkthroughs, and feedback loops that bring Legal teams along on the journey and ensure tools actually get used.

• 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 legal outputs.

• Proven ability to embed with non-technical domain experts, rapidly internalize complex workflows, and translate them into engineering r