AI-Powered Legal & Operations Engineering Lead

United States Digital Space LLC

United States

Hybrid

USD 150,000 - 190,000

Full time

14 days+
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Job summary

United States Digital Space LLC seeks a dynamic Technical Lead to join our Legal Operations team, driving infrastructure development for scalable, automated legal workflows within a fast-growing AI technology company.

You’ll partner with the General Counsel and VP, Operations to architect solutions that transform high-volume legal tasks into reliable, measurable systems while shaping non-technical functions for growth.

Qualifications

  • 7+ years of backend software engineering experience; production systems at scale.
  • Some working knowledge of legal concepts or operations is desirable.
  • Strong business judgment and ability to translate legal workflows into engineered solutions.

Responsibilities

  • Architect and build the Legal and Operations Engineering platform, replacing manual, high-volume work with scalable automation.
  • Own the enterprise contracting automation system end-to-end.
  • Ship in-product legal surfaces built on company tech and AI tooling.
  • Consolidate ad-hoc legal bots, prompts, and scripts into a documented, observable platform.
  • Partner with General Counsel and VP, Operations to translate requirements into scalable tooling.
  • Evaluate and retire third-party tools in favor of internal systems with competitive advantages.
  • Serve as a case study for forward-deployed engineering in non-engineering functions.

Skills

Backend engineering
Systems thinking
Stakeholder communication
Legal tech familiarity

Education

Bachelor's degree in CS/related

Job description

United States Digital Space LLC seeks a dynamic Technical Lead to join our Legal Operations team, driving infrastructure development for scalable, automated legal workflows within a fast-growing AI technology company.

You’ll partner with the General Counsel and VP, Operations to architect solutions that transform high-volume legal tasks into reliable, measurable systems while shaping non-technical functions for growth.

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