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Salary: USD 135,320 - 159,200 / annual
Coinbase's EE Legal Platforms team owns and operates the company's legal technology stack, including Ironclad, Evisort, Brightflag, DocuSign, and a deep integration ecosystem spanning Salesforce, Snowflake, Workato, Zip, Symphony, and Slack. As an Enterprise Engineer, you will build and operate the workflows, integrations, and data foundations that keep Legal systems auditable, reliable, and scalable. You will partner directly with Legal, Compliance, Security, and Engineering teams to deliver platform improvements and automation across the legal toolchain.
Key responsibilities include:
- Own Ironclad architecture, workflows, and contract lifecycle management, including integrations to upstream and downstream systems
- Build and maintain system integrations using Workato and APIs, including automation that reduces manual intake and fulfillment work across Legal platforms
- Support and evolve adjacent Legal Platforms such as Evisort, Brightflag, and DocuSign, with a focus on workflows, integrations, and operational reliability
- Execute data migrations, backfills, reconciliations, and ongoing data hygiene to maintain system integrity across the legal toolchain
- Govern platform access and credentials for Legal systems, including service account and token lifecycle management, access controls, and operational documentation
- Partner with Legal, Compliance, Security, and Engineering teams to deliver cross-functional outcomes and ship changes safely to production
Coinbase is a remote-first company with quarterly in-person working sessions called "surges." The environment is intense and mission-driven, focused on increasing economic freedom through cryptocurrency and blockchain technology.
REQUIREMENTS:
- 3 to 6+ years administering and evolving Ironclad and/or DocuSign (or comparable CLM and eSignature platforms) in a production environment, including complex template, workflow, and permissions design
- Hands-on experience building integrations using Workato (or similar iPaaS tools), REST APIs, webhooks, authentication flows, and structured data payloads, with the ability to debug integration failures and resolve data inconsistencies across systems
- Demonstrated experience performing data migrations, bulk data loads, and reconciliations with a track record of maintaining data integrity at scale
- Proven ability to own a platform end-to-end, operating independently without detailed requirements and translating technical details into clear guidance for Legal and business stakeholders
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
- Demonstrated 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
