Legal and Operations Engineering Lead

Perplexity AI

$130K — $160K *
Legal & Accounting
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of backend software engineering experience in production systems at scale.
  • Working knowledge of legal concepts and some experience in legal operations or paralegal work.
  • Strong business judgment and practical problem-solving skills.
  • Experience building scalable processes and foundational systems from scratch.
  • Fluency with modern legal tech and AI tools, and human-in-the-loop practices.
  • Excellent communication skills with senior legal and executive stakeholders.
  • Entrepreneurial drive and agility in fast-moving, ambiguous environments.

Responsibilities

  • Architect and build the Legal and Operations Engineering platform to automate high-volume legal work.
  • Own the enterprise contracting automation system from start to finish.
  • Ship in-product legal surfaces powered by proprietary technology.
  • Consolidate ad-hoc legal bots into a documented, reusable platform.
  • Serve as the technical partner to the General Counsel, translating legal complexities into engineered solutions.
  • Evaluate and potentially replace third-party tools with purpose-built internal systems.
  • Set a precedent for deploying engineering solutions in non-technical functions.

Benefits

  • Unique opportunity to shape foundational systems in a high-growth AI technology company.
  • Collaborative environment working closely with senior leaders, including the General Counsel.
  • Opportunity to build scalable legal processes from the ground up.
  • Exposure to cutting-edge technology and innovative legal solutions.
  • Possibility to influence and develop practices across various organizational functions.
Full Job Description
About the Role

Responsibilities
  • Architect and build Perplexity's Legal and Operations Engineering platform - a coherent stack of agents, workflows, and evaluation infrastructure that replaces manual, high-volume legal work across commercial contracting, e-discovery, enterprise redlining, subsidiary governance, vendor onboarding, and litigation and matter management.
  • Own the enterprise contracting automation system end-to-end.
  • Ship the in-product legal surfaces built on Perplexity and Computer itself
  • Consolidate today's ad-hoc legal bots, prompts, and scripts into a documented, observable, and reusable platform with clear conventions for personas, tools, evals, guardrails, and human-in-the-loop patterns.
  • Serve as the technical partner to the General Counsel. Translate complex, judgment-heavy legal workflows into engineered systems, and translate engineering constraints back to non-technical stakeholders.
  • Evaluate, retire, or replace third-party tools where a purpose-built internal system gives us a structural advantage.
  • Be the case study for forward-deployed engineering in non-engineering functions at Perplexity. Success here becomes the playbook for Legal, Recruiting, People, Workplace, and Operations.
What You'll Bring
  • 3+ years of backend software engineering experience with a track record of shipping production systems at meaningful scale.
  • A working knowledge of legal concepts, with some experience in legal operations or paralegal work is desired.
  • Strong business judgment and practical problem-solving; comfortable making operational calls with incomplete information and calibrating risk in real time.
  • Track record building scalable processes and foundational systems from scratch, not maintaining a mature function.
  • Fluency with modern legal tech and AI tools; disciplined human-in-the-loop practices.
  • Excellent written and verbal communication; ability to work directly with senior legal, finance, and executive stakeholders.
  • Entrepreneurial drive, intellectual curiosity, and agility to thrive in an ambiguous, fast-moving environment.
Preferred Experience
  • Prior experience at an AI-native, SaaS, or consumer technology company operating at Perplexity's pace.
  • Familiarity with e-billing platforms (e.g., Brightflag), matter management, CLM, and entity management systems.
  • Comfort with ambiguity, rapid context-switching, and a builder mentality.

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