Related skills
saas python ml sift esp📋 Description
- Architect automated abuse detection pipelines.
- Build continuous risk scoring across lifecycles.
- Develop sender reputation tracking linked to deliverability.
- Engineer content analysis for URLs, images, threats.
- Deploy detection logic and Python services for real-time responses.
- Design automated response workflows to mitigate abuse at scale.
🎯 Requirements
- 5+ years in fraud/abuse/security monitoring.
- Expert-level Python development for production systems.
- Deep expertise in email/SMS abuse patterns.
- Strong ML-based detection and behavioral analytics.
- Experience with modern abuse tooling (e.g., Sift).
- Experience in SaaS messaging/ESP a bonus.
🎁 Benefits
- Comprehensive Health & Wellness benefits.
- Growth & Development via LinkedIn Learning.
- Generous Paid Time Off (PTO).
- Total Rewards including 401(k) matching and stipends for remote workers.
- Collaborative culture with cross-functional teams.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!