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Mercor

Automates candidate screening and matching

Strategic Project Lead

Project ManagementUpdated on Nov 14
Full-time$120k - $200k /yr

About the Job

Requirements

  • A background in consulting, finance, startups, or another operationally intense environment.
  • Strong analytical and communication abilities and a proven track record of managing complex projects.
  • Comfort working directly with high-profile clients.
  • Excitement for process optimization and large-scale execution.

Responsibilities

  • Drive the tactical execution of multi-million-dollar projects.
  • Build deep client relationships with researchers at top AI labs.
  • Orchestrate the work of 1,000+ contributors and ensure operational execution under demanding timelines.
  • Design and manage end-to-end data pipelines from customer specifications to final delivery.
  • Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost-efficiency, including creating incentive systems, re-sequencing workflows, refining instructions, and scaling review processes.
  • Act as the primary point of contact for leading AI labs.
  • Deliver clear, consistent reporting, proactively anticipate client needs, build long-term trust, and identify opportunities for expansion.
  • Manage 1,000+ distributed contributors in Slack-based workspaces.
  • Source, vet, train, and performance-manage domain experts.
  • Maintain high execution standards across all production stages.
  • Run daily internal syncs (“war rooms”) to stay ahead of issues.
  • Provide regular, transparent progress updates to customers.

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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