Engineering Manager, Fraud & Compliance

About Mercor Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise. We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows. Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence. Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London. We're building the infrastructure that powers one of the world's largest expert networks and delivers expert data at unprecedented scale. We're looking for exceptional engineering leaders to help us protect the integrity of that ecosystem — building the fraud, risk, and compliance systems that make a global expert marketplace trustworthy at scale. We value builders who have repeatedly chosen difficult problems, thrived in environments with high expectations, and can point to concrete examples where their leadership materially changed the trajectory of a team, product, or company. Why This Role We're still early. Fraud is one of Mercor's most important business challenges. Every day, we process enormous volumes of applications, assessments, identity verifications, and work activity across a global talent network. Protecting that ecosystem requires sophisticated systems that can identify fraudulent behavior, evaluate risk, and make accurate decisions at scale — and the playbooks for doing it on an AI-native expert marketplace don't yet exist. Fraud is an adversarial problem. The solutions that work today may not work six months from now. You'll lead engineering efforts focused on: Fraud detection and platform integrity — identity verification, abuse prevention, risk scoring, and the LLM-powered decision engines and evaluation pipelines that catch fraudulent behavior as attackers adapt Compliance and operational infrastructure — the reliability, scalability, and core foundations that allow Mercor to operate globally and meet the obligations of working with the world's leading AI organizations You'll be responsible for building systems that sit at the center of the AI ecosystem and protect the trust that makes expert knowledge usable at scale. What You'll Do Lead and grow a high-performing team of engineers responsible for fraud detection, identity verification, abuse prevention, and platform integrity Define and execute Mercor's 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 the development of AI-powered detection systems, including LLM-based decision engines, scoring models, and review workflows Establish rigorous evaluation frameworks to measure detection performance, confidence calibration, false positive/negative tradeoffs, and business impact Recruit exceptional 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 Basic Qualifications Educational Requirements: Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics or Statistics 5+ years of backend software engineering experience building and operating production systems at scale 3+ years of engineering management experience leading high-performing software engineering teams Experience leading teams through periods of significant scale, ambiguity, or rapid change, with clear examples of the impact you've personally driven Nice-to Have Qualifications 2+ years delivering infrastructure for fraud, trust & safety, risk, identity, payments, abuse prevention, or other adversarial domains 2+ years working with machine learning, AI systems, decision engines, or risk-scoring platforms Benefits Generous equity, vested over 4 years Up to $15K relocation bonus $10K housing bonus (if you live within 0.5 miles of the office) $1,500/month meals stipend Free Equinox membership $200/month laundry reimbursement $200/month personal wellness reimbursement Health, Dental, and Vision insurance Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.