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Mercor

Automates candidate screening and matching

Project Manager - Delivery Team

Project ManagementUpdated on Nov 11
Full-timeSan Francisco, CA, USA$130k - $180k /yr

About the Job

Requirements

  • Excellent leadership, communication, and stakeholder management skills.
  • Ability to work collaboratively across engineering, data science, leadership, legal, and finance departments.
  • Strong attention to detail, sound judgment, and listening skills.
  • Comfort driving process improvement and proposing more efficient ways of working.
  • Passion for data-driven products and cross-functional collaboration.
  • Three to five or more years of project management experience or related experience.
  • A bachelor’s degree or equivalent experience in a related field.

Responsibilities

  • Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch and post-launch handoff.
  • Take direct responsibility for successful project execution, including meeting project goals, client and stakeholder service, quality of work, resource utilization, and profitability.
  • Lead and motivate project contributors, build a strong team environment, inspire a shared vision, enable others to act, and take ownership of team outcomes.
  • Partner with team leads to vet, scope, and kick off assignments, and own due dates and milestones.
  • Develop and maintain project documentation, including timelines, budgets, and scoping documents.
  • Lead communications and change management throughout the project lifecycle, from stakeholder kickoff briefings through end-user notifications ahead of launches.
  • Coordinate across functional teams, including data engineering, analytics, legal, and finance, to align workstreams and drive decisions and accountability against timelines.
  • Anticipate downstream implications of project decisions, proactively surface dependencies, resolve blockers, and escalate when needed.
  • Build and improve scalable data-project delivery infrastructure, including intake forms, templates, checklists, standard operating procedures, playbooks, and retrospectives that support process improvement.
  • Manage relationships with key stakeholders to promote trust and future opportunities.

Desired Qualifications

  • A proven track record managing large cross-functional data or technical projects.
  • Experience managing a high volume of projects in parallel.
  • Experience with data, engineering, or analytics project types.

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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