Engineering Manager, Fraud & Compliance

Recruiting From Scratch•San Francisco, NY

8d•Onsite

About The Position

We're representing one of the fastest-growing AI companies building the infrastructure that powers the global AI economy. Their platform connects leading AI labs and enterprises with a worldwide network of expert talent, enabling the creation of high-quality training data that advances frontier AI models. As the company rapidly scales its global marketplace, protecting platform integrity has become one of its highest strategic priorities. They're seeking an experienced Engineering Manager to lead the Fraud & Compliance organization, building the systems that detect abuse, evaluate risk, and maintain trust across one of the world's largest expert marketplaces. This is an opportunity to lead a high-impact engineering team solving adversarial problems at the intersection of AI, trust & safety, and distributed systems.

Requirements

5+ years of backend software engineering experience building large-scale production systems.
3+ years of engineering management experience leading high-performing software engineering teams.
Proven track record managing organizations through rapid growth, ambiguity, and complex technical challenges.
Experience building highly scalable backend platforms with strong operational reliability.
Demonstrated success leading cross-functional initiatives across engineering, product, and business organizations.
Strong technical foundation with experience making architecture and systems design decisions.
Excellent leadership, communication, and organizational skills.
Ability to balance execution, technical strategy, hiring, and long-term platform investments.

Nice To Haves

Experience building fraud detection, trust & safety, abuse prevention, risk, identity verification, compliance, or payments infrastructure.
Experience leading teams developing machine learning systems, AI-powered decision engines, or automated risk scoring platforms.
Background in highly regulated or adversarial environments where reliability and correctness are critical.
Experience designing large-scale distributed systems with sophisticated monitoring and evaluation frameworks.
Previous leadership experience at high-growth startups or large-scale technology companies.
Familiarity with LLM-powered workflows, human-in-the-loop review systems, and AI evaluation methodologies.
Passion for solving evolving security and fraud challenges at internet scale.
Entrepreneurial mindset with a history of building organizations and technical systems from the ground up.

Responsibilities

Lead, mentor, and grow a high-performing engineering team responsible for fraud detection, identity verification, compliance infrastructure, and platform integrity.
Define and execute the technical roadmap for fraud prevention, risk management, and compliance engineering initiatives.
Build scalable systems that generate fraud signals, evaluate risk, and automate decision-making across a global marketplace.
Develop AI-powered detection platforms leveraging LLMs, machine learning models, risk scoring systems, and human review workflows.
Design evaluation frameworks to measure detection quality, confidence calibration, false positives, false negatives, and overall business impact.
Partner closely with Product, Operations, Security, and executive leadership to align technical strategy with company objectives.
Recruit exceptional engineering talent while fostering a culture of technical excellence, ownership, and continuous improvement.
Drive engineering best practices across architecture, reliability, scalability, operational excellence, and execution.
Lead technical decision-making in a fast-moving environment where fraud patterns and attack vectors constantly evolve.
Help establish the long-term vision for trust, safety, and compliance systems supporting a rapidly growing AI platform.