Senior Staff Software Engineer, Legal Automation

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop the Legal AI infrastructure — Create and deploy a platform of AI agents and automated workflows that substitute high-volume, templated legal tasks, including institutional client agreement redlining, SEC filing assistance, subsidiary governance processes, and commercial deal management.

• Manage the institutional client agreement automation system — Our top priority use case: construct an end-to-end agentic workflow that processes counterparty markups, assesses them against a structured playbook, produces a first-pass redline with comments, facilitates human review, and monitors outcomes. This operational-grade system impacts over 220 institutional clients in the pipeline.

• Develop a unified agent platform and governance framework — Integrate a disjointed collection of ad-hoc bots and agents into a coherent, documented, and maintainable platform with naming conventions, personas, observability, and established standards for building and deploying Legal agents.

• Serve as the technical thought partner to the VP and the broader Legal leadership team — Convert intricate legal workflows into engineered systems and relay engineering limitations back to non-technical stakeholders. Bridging these realms is as crucial as the engineering itself.

• Establish the make-vs-buy strategy — Assess and phase out third-party legal tech tools (e.g., Harvey) in favor of custom-built internal solutions, leveraging Coinbase's engineering strengths for a structural advantage.

• Be the case study — This position is intentionally crafted to serve as a pilot for forward-deployed engineering within non-technical sectors at Coinbase. Achieving success in this role will create the framework for how other functions (Finance, HR, Operations) can experience similar transformations.

⛳️ Requirements

• Over 12 years of backend software engineering experience, with a proven history of deploying production systems at scale.

• Demonstrated experience in bringing LLM-based applications to production — including evaluation frameworks, grounding, safeguards against hallucination, and human-in-the-loop design.

• Experience in multi-agent orchestration — you've designed and managed systems where multiple AI agents collaborate, transfer work, and escalate to humans as necessary.

• Outstanding ability to communicate with and learn from non-technical domain experts — while legal terminology isn't required on day one, you must quickly internalize complex workflows and translate them into engineered systems.

• A platform-oriented mindset — you think in terms of primitives, reusability, and standards, not merely point solutions.

• Fundamentals of distributed systems — the agreement automation system will involve document processing, structured playbook evaluation, routing logic, and audit trails; therefore, architecting this correctly from the start is essential.

• Unwavering drive to set and achieve ambitious goals in ambiguous, greenfield environments.

• Ability to responsibly utilize generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continually learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs.

🏝️ Benefits

• Medical, dental, and vision coverage.

• 401(k) plan.