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Mercor

Automates candidate screening and matching

Engineering Manager - Fraud & Compliance

Engineering LeadershipUpdated on Nov 11
Full-time$250k - $400k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, or Statistics is required.
  • At least 5 years of backend software engineering experience building and operating production systems at scale is required.
  • At least 3 years of engineering management experience leading high-performing software engineering teams is required.
  • Experience leading teams through significant scale, ambiguity, or rapid change, with clear examples of personally driven impact, is required.

Responsibilities

  • Lead and grow a high-performing team of engineers responsible for fraud detection, identity verification, abuse prevention, and platform integrity.
  • Define and execute the fraud and compliance engineering roadmap in partnership with product, operations, and company leadership.
  • Build systems that generate fraud signals, evaluate risk, make automated decisions, and continuously improve through human review and feedback loops.
  • Drive development of AI-powered detection systems, including large language model-based decision engines, scoring models, and review workflows.
  • Establish evaluation frameworks to measure detection performance, confidence calibration, false-positive and false-negative tradeoffs, and business impact.
  • Recruit engineers and raise the talent bar across the organization.
  • Partner closely with product, operations, and company leadership.
  • Drive engineering excellence, velocity, and operational rigor in an adversarial, fast-moving domain.

Desired Qualifications

  • At least 2 years delivering infrastructure for fraud, trust and safety, risk, identity, payments, abuse prevention, or other adversarial domains.
  • At least 2 years working with machine learning, artificial intelligence systems, decision engines, or risk-scoring platforms.

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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