Engineering Manager, Fraud

Cursor3 days ago

Location

San Francisco

Type

Full Time

Salary

USD 200,000 – 250,000

Level

Manager

Role

Engineering Manager

Posted

Apr 7, 2026

Full TimeManager

The role

Summary

Cursor is seeking an Engineering Manager for their Fraud & Abuse team, responsible for building and managing sophisticated fraud prevention systems. The ideal candidate will be a hands-on technical leader who can develop comprehensive fraud detection platforms, write code, and lead cross-functional efforts to protect the company's AI-powered software development platform.

What you'll do

Fraud Systems Development: Improve end-to-end fraud and abuse detection systems, from risk scoring to enforcement and reporting

Technical Leadership: Write and ship code directly, set high engineering quality standards, and unblock critical work

Team Building: Recruit, interview, close, and onboard engineers while establishing strong operating rhythms and engineering standards

Platform Design: Design and implement a centralized platform for fraud prevention that can scale with evolving product vectors

Cross-Functional Collaboration: Partner deeply with Billing, Growth, Finance, Security, Operations, and Legal to identify and mitigate fraud risks

Outcome Ownership: Own key metrics including fraud loss, detection latency, enforcement quality, and investigation time

What we look for

Technical

Fraud Detection ExpertiseProven experience building fraud detection systems for usage-based services

Risk Management TechnologiesExperience with risk scoring, policy engines, enforcement pipelines, and case management systems

Third-Party IntegrationAbility to leverage vendors like Stripe and WorkOS creatively for fraud prevention

Education

Advanced DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Leadership ExperienceSignificant experience managing and developing engineering teams, including hiring and performance coaching

Incident ResponseExperience leading incident response for fraud and abuse incidents

Cross-Functional CollaborationProven ability to work effectively across non-engineering teams

Skills

Required skills

TypeScriptHands-on coding capability with ability to write and debug TypeScript

Fraud PreventionDeep understanding of fraud detection methodologies and prevention strategies

Team ManagementStrong leadership and team development skills

Nice to have

LLM SafetyExperience with Large Language Model Safety and Integrity

Social Engineering MitigationUnderstanding of techniques to prevent social engineering attempts

Compensation & benefits

Salary

USD 200,000 – 250,000 (annual)

Stock options

Available

Benefits

Innovative Work Environment

Flat organizational structure with a small, talent-dense team

Creative Culture

Environment that values truth-seeking, passionate individuals and encourages spirited debate

Interview process

1
Initial Screening — Review of resume and initial qualifications
2
Technical Interview — In-depth discussion of fraud prevention expertise and technical capabilities
3
Leadership Assessment — Evaluation of management and team development skills
4
Final Interview — Meeting with senior leadership to assess cultural fit and strategic alignment