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Mercor

Automates candidate screening and matching

Legal Engagement Manager

Account ManagementUpdated on Nov 14
Full-timeSan Francisco, CA, USA$180k - $200k /yr

About the Job

Requirements

  • A JD is required.
  • Four or more years of total work experience in legal practice, legal technology, or consulting for legal clients.
  • A track record in client-facing roles and building and expanding relationships.
  • Comfort working with machine-learning and engineering stakeholders.

Responsibilities

  • Manage and grow a portfolio of legal technology companies, application-layer companies, and law firms from first meeting through delivery and expansion.
  • Lead commercial processes for new and existing business, including scoping, pricing, and contracting.
  • Work with customer, product, and research teams to design evaluations and post-training data for legal tasks such as contract review, legal research, drafting, and litigation support.
  • Translate legal practice into rubrics and task specifications that models can be trained and measured against.
  • Help recruit and calibrate lawyer experts on the platform, and work with operations to track quality and timelines.
  • Serve as the primary point of contact for customer questions, issues, and escalations, and drive them to resolution.
  • Forecast revenue and surface opportunities for account growth.

Desired Qualifications

  • Bar admission and experience practicing at a law firm or in-house are strongly preferred.
  • Strong interest in how artificial intelligence is changing legal work; familiarity with large language models, model evaluation, or legal technology products is a plus.

About the Company

Mercor

Automates candidate screening and matching

Mercor provides an AI-driven recruitment platform that automates key parts of hiring for both job seekers and employers. Job seekers upload their CVs and complete a 20-minute AI-led video interview, after which a proprietary language model generates detailed candidate profiles; employers receive automated resume screening, candidate matching, and initial interviews, with tailored AI interviews for specialized roles. The system uses a company-trained model to rank and recommend candidates by qualifications and predicted performance, and operates on a finder’s-fee revenue model with large-scale usage across software, operations, design, and other fields, including AI labs. Its goal is to speed up hiring while reducing bias and delivering better job-to-citizen matches.

Company size
201-500
Company stage
Series D
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2023

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