In this role, you will:
- 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.
You will need:
- 3+ years of experience working on complex abuse-adjacent problems such as Trust & Safety, cybersecurity, fraud, or risk, with a strong track record of ownership and impact.
- 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, optimizing for performance and scalability
- Experience building dashboards or visualizations using Mode, Tableau, or similar tools
- Deep knowledge of abuse threat actors and evasion tactics, with experience designing scalable, high-precision detection and remediation models.
- Proven experience leading cross-functional initiatives with Product, Engineering, and customer-facing teams to drive impactful safety improvements.
- Exceptional communication and presentation skills, especially to executive and non-subject-matter-expert audiences.
Nice to have:
- BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity or related field.
- Professional experience in creating and maintaining algorithms.
- Knowledge and familiarity with persistent scaled abuse threat actors.
- Experience uncovering indicators of abuse and applying creative strategies to mitigate.
- Experience in leading technical projects and mentoring junior team members.
As a full-time employee, you’ll enjoy:
- Flexible Vacation, 10 Sick Days
- Time off to volunteer and charitable donations matching
- Comprehensive health, vision, and dental coverage
- 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
- 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
- Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
- Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
- Free premium subscriptions for several Match Group apps – including Tinder Platinum!
