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Mercor

Automates candidate screening and matching

Engagement Manager

Pre-Sales Solution EngineeringUpdated on Nov 14
Full-timeSan Francisco, CA, USA$180k - $200k /yr

About the Job

Requirements

  • A BS or MS in Computer Science or a related technical field is ideally preferred.
  • At least 4 years of experience as a sales engineer, solutions engineer, solutions architect, or technical account executive at an enterprise B2B software company.
  • A track record of closing and expanding six- and seven-figure enterprise deals with technical buyers.
  • Hands-on coding ability, including reading a pull request, writing a script, and discussing how a model fails on real code.
  • Familiarity with how large language models are trained and evaluated, including supervised fine-tuning, reinforcement learning from human feedback, or coding benchmarks such as SWE-bench, or a strong drive to learn quickly.
  • Excellent written and verbal communication with researchers and executives.

Responsibilities

  • Own a portfolio of AI labs, coding tool companies, and enterprise engineering teams, and run the full sales cycle from the first technical conversation through signed contract and expansion.
  • Run technical discovery to understand where a customer's models fall short on real software tasks, and turn that understanding into a clear proposal.
  • Scope and price enterprise evaluation and post-training data programs, such as coding benchmarks, supervised fine-tuning and reinforcement-learning-from-human-feedback datasets, and agentic coding tasks across languages, frameworks, and codebases.
  • Lead technical demos and pilots, and convert pilot results into multi-quarter commitments.
  • Work with product, operations, and engineering teams to recruit software engineering experts and deliver programs to quality and timeline requirements.
  • Forecast pipeline and revenue, and bring customer feedback to product and research teams.

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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