- Salary
- $130k – $400k
- Location
- San Francisco, CA
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Experience
- 4+ years
- Source
- RecruiterFlow
Description
Software Engineer, Fraud
Location: San Francisco or New York City
Company Stage: Series C / Late-Stage (AI / Enterprise)
Office Type: Onsite (5 Days a Week)
Salary: $130,000 – $400,000 + Equity
Company Description
This high-growth AI company is building the infrastructure that powers how human expertise is leveraged to train and improve frontier AI systems. With a large global network and partnerships with leading AI labs and enterprises, the platform operates at massive scale, enabling real-world workflows that directly shape the future of AI. Backed by top-tier investors and operating profitably, the company is entering its next phase of growth, focused on reliability, trust, and platform integrity.
What You Will Do
- Design and build fraud detection and prevention systems across key surfaces, including identity verification and platform abuse
- Identify fraud patterns and translate them into scalable backend systems, tools, and workflows
- Partner closely with product and engineering to define fraud strategy and prioritize high-impact initiatives
- Develop systems that detect suspicious behavior, mitigate risk, and reduce fraudulent activity in real time
- Improve visibility into fraud trends, risk exposure, and system effectiveness through monitoring and analytics
- Operate autonomously in ambiguous environments, owning large problem areas end-to-end
- Balance security, user experience, and operational efficiency when designing fraud prevention systems
Ideal Background
- 4+ years of experience building production backend systems
- Strong engineering fundamentals with experience in scalable system design and data-driven applications
- Experience working on fraud detection, abuse prevention, or trust & safety systems (preferred but not required)
- Ability to identify patterns in complex systems and translate them into technical solutions
- High ownership mindset with comfort operating in fast-moving, ambiguous environments
- Strong judgment in balancing risk, speed, and user experience
Preferred
- Prior experience building fraud, risk, or trust & safety systems at scale
- Familiarity with identity verification, anomaly detection, or behavioral analytics
- Experience working with large datasets, event streams, or real-time detection systems
- Background in high-growth startups or environments with rapid iteration cycles
Compensation and Benefits
- Base salary: $130K – $400K + meaningful equity
- Bi-annual performance bonuses
- Relocation support (up to $15K) and housing stipend ($10K)
- Monthly stipends for meals, wellness, and personal expenses
- Premium health, dental, and vision coverage
- Fitness membership and additional lifestyle perks
- High-impact role with direct influence on platform integrity and financial outcomes
This role is ideal for engineers who want to work on high-stakes, real-world problems—protecting platform integrity, preventing fraud at scale, and building systems that safeguard millions in value while enabling rapid company growth.