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sql ai splunk sift stripe radar📋 Description
- Monitor anti-abuse signals, logs, and alerts to identify likely abuse and mitigate.
- Investigate and address abuse events; escalate for timely response and mitigation.
- Perform incident triage to determine scope, urgency, and impact; document timelines and actions.
- Generate and review reporting related to threat alerts and user log behavior.
- Partner with Engineering and Security to test signal tuning and learn Klaviyo’s sending infrastructure.
- Collaborate with cross-functional teams (R&D, Deliverability, Security, Customer Success, Support, Sales).
🎯 Requirements
- 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing provider.
- Data analysis proficiency; able to pull dashboards, review logs, and summarize findings; SQL or equivalent query experience preferred.
- AI fluency; understands how AI and automation are used in detection systems and workflows; comfortable using approved AI tools.
- Anti-abuse and fraud prevention tools—experience with Sift, Stripe Radar, or similar.
- Strong understanding of fraud/abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
- Monitoring and alerting systems familiarity; log analysis and SIEM-style tools (e.g., Splunk, Datadog) and ability to read system logs.
🎁 Benefits
- Travel up to 10% for onboarding, client or partner work (as applicable).
- Annual cash bonus plan, equity, and sign-on payments as part of compensation.
- Comprehensive health, welfare, and wellbeing benefits.
- Generous benefits and a supportive, collaborative culture.
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