Salary
💰 $146,500 - $170,000 per year
Tech Stack
Cyber SecurityPythonSparkSQLTableau
About the role
- Own and lead detection areas, proactively identifying, investigating, and mitigating scaled abuse threats through data-driven insights, automation, and advanced detection techniques.
- Lead and improve the on-call incident response process, ensuring efficient triage, escalation, and resolution of emerging threats. Define best practices and enhance automated responses to minimize manual intervention.
- Monitor and investigate emerging abuse trends, linking anomalous activity to core KPIs and implementing proactive mitigation strategies.
- Mentor and guide junior team members, sharing technical expertise, developing best practices, and ensuring consistency in detection methodologies.
- Drive and deliver complex projects, from problem discovery to execution, ensuring measurable impact while continuously iterating on detection systems.
- Develop scalable, durable and efficient abuse detection systems, optimizing for complexity, precision, and performance while proactively surfacing new abuse tactics and vulnerabilities.
- Discover and address underlying abuse patterns, leveraging reports and insights from different sources to refine detection strategies and create repeatable engineering solutions.
- Collaborate with cross-functional partners (Product, Policy, Member Experience, and Engineering) to align detection strategies with broader safety initiatives.
Requirements
- 5+ years of experience working on complex abuse-adjacent problems such as Trust & Safety, cybersecurity, fraud, or risk
- Proficiency in Python for automating detection workflows, data manipulation, and analysis
- Strong command of SQL and experience with big data tools like Spark (or similar frameworks)
- Hands on experience building and productionizing large-scale detection systems
- Experience building dashboards or visualizations using Mode, Tableau, or similar tools
- Deep knowledge of abuse threat actors and evasion tactics
- Proven experience leading cross-functional initiatives with Product, Engineering, and customer-facing teams
- Exceptional communication and presentation skills
- Nice to have: BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity or related field
- Nice to have: Professional experience in creating and maintaining algorithms
- Nice to have: Knowledge and familiarity with persistent scaled abuse threat actors
- Nice to have: Experience uncovering indicators of abuse and applying creative strategies to mitigate
- Nice to have: Experience in leading technical projects and mentoring junior team members