Software Engineer, Account Abuse
Build systems to detect and prevent account abuse by analyzing signals at scale, integrating vendor data, and creating monitoring tools. Requires 3+ years experience in software engineering focused on fraud/abuse, proficiency in Python/SQL.
About the job
Responsibilities:
- Think and respond quickly in a rapidly-changing greenfield environment
- Jump into other teams’ code to identify key points for signals or interventions with minimal impact
- Integrate with third-party data-enrichment vendors
- Create monitoring dashboards, alerts, and internal admin UX
- Work closely with data scientists to maintain situational awareness of usage patterns and with Policy & Enforcement team
- Build robust and reliable multi-layered defenses
- Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns and inform defenses
You may be a good fit if you have:
- A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
- 3-10+ years of experience in a software engineering position, preferably with a focus on integrity, spam, fraud, or abuse detection
- Proficiency in Python, SQL, and data analysis tools
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
- Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools
- Have worked closely with operational teams to build custom internal tooling
Compensation
Annual Salary: $320,000 — $405,000 USD
Skills
Python, SQL, Data Analysis, Monitoring Dashboards, AI/ML, Fraud Detection, Security Monitoring, Kubernetes, GCP, React
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