Senior Staff Software Engineer, Legal Automation

🕒 July 14

🇺🇸 United States – Remote

💵 $253.9k - $298.7k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Architect and build Legal AI infrastructure — Design and ship a platform of AI agents and automated workflows that replace high-volume, templated legal work including institutional client agreement redlining, SEC filing support, subsidiary governance workflows, and commercial deal processing. • Own the institutional client agreement automation system — Our highest-priority use case: build an end-to-end agentic workflow that ingests counterparty markups, evaluates them against a structured playbook, generates a first-pass redline with comments, routes for human review, and tracks outcomes. This is a production-grade system affecting 220+ institutional clients in pipeline. • Build a cohesive agent platform and governance layer — Consolidate a fragmented set of ad-hoc bots and agents into a consistent, documented, maintainable platform with naming conventions, personas, observability, and standards for how Legal agents are built and deployed. • Act as the technical thought partner to the VP and the broader Legal leadership team — Translate complex legal workflows into engineered systems, and translate engineering constraints back to non-technical stakeholders. The ability to bridge these worlds is as important as the engineering itself. • Define the make-vs-buy strategy — Evaluate and retire third-party legal tech tools (Harvey, etc.) in favor of purpose-built internal solutions where Coinbase's engineering strength gives us a structural advantage. • Be the case study — This role is explicitly designed to be a pilot for forward-deployed engineering in non-technical organizations at Coinbase. Success here creates the playbook for how other functions (Finance, HR, Operations) can undergo the same transformation.

🎯 Requirements

• 12+ years of backend software engineering experience, with a track record of shipping production systems at scale • Proven experience getting LLM-based applications to production — including evaluation frameworks, grounding, guardrails against hallucination, and human-in-the-loop design • Multi-agent orchestration experience — you've designed and operated systems where multiple AI agents collaborate, hand off work, and escalate to humans appropriately • Exceptional ability to communicate with and learn from non-technical domain experts — you don't need to know legal terminology on day one, but you need to rapidly internalize complex workflows and translate them into engineered systems • Platform mindset — you think in primitives, reusability, and standards, not just point solutions • Distributed systems fundamentals — the agreement automation system will touch document processing, structured playbook evaluation, routing logic, and audit trails; you need to architect this correctly from day one • Relentless drive to set and achieve ambitious goals in ambiguous, greenfield environments • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs

🏖️ Benefits

• medical, dental, vision • 401(k)