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Mercor

Automates candidate screening and matching

Enterprise AI Associate

Project ManagementUpdated on Nov 11
Full-time

About the Job

Requirements

  • Have 1–3 years of experience in management consulting, operations, strategy, product management, or a similarly structured analytical environment.
  • Be able to break down complex problems, structure work plans, and communicate findings clearly to diverse audiences.
  • Have operational instincts to track details while maintaining awareness of the broader context.
  • Be comfortable navigating ambiguity and proposing solutions without an established playbook.
  • Have genuine intellectual curiosity about AI and want to understand how AI systems work and why they matter; engineering experience is not required.
  • Be collaborative and able to build trust quickly with clients and internal teammates.

Responsibilities

  • Support end-to-end delivery of enterprise AI engagements by scoping workstreams, tracking milestones, and coordinating across internal and client-side stakeholders.
  • Join client meetings to document AI pain points, synthesize organizational priorities, and identify workflows where Mercor can drive value.
  • Translate qualitative client feedback and edge cases into structured execution plans, working directly with engineering teams to shape new AI agent capabilities.
  • Scope unowned internal initiatives, define goals, and drive projects forward in ambiguous problem spaces without an established playbook.
  • Refine go-to-market messaging and sales collateral by converting customer interactions into updated pitch decks, company descriptions, and brand positioning.
  • Contribute to internal process improvements by building playbooks, templates, and frameworks to improve team effectiveness at scale.
  • Stay current on trends in frontier AI, enterprise AI deployment, and data operations to inform client conversations.
  • Proactively take ownership of undefined challenges.
  • Approach complex problems with frameworks and clear hypotheses.
  • Communicate precisely with technical and non-technical audiences, adjusting communication style as needed.
  • Take ownership of workstreams and deliver them through completion.
  • Learn quickly and adapt to new domains.

Desired Qualifications

  • Prior exposure to AI, data operations, or technology-adjacent work.
  • Experience in strategy consulting at a top-tier firm, particularly in technology sectors.
  • Prior exposure to enterprise AI or SaaS commercial motions.
  • Background in venture capital or private equity with client-facing responsibilities.

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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