Compliance Operations Analyst (SaaS)

TL;DR

Compliance Operations Analyst (SaaS): Monitoring and investigating abuse issues to protect the sending platform with an accent on anti-abuse signals and incident response. Focus on automating detection workflows with AI, tuning signals with Engineering, and reducing platform risk while maintaining customer experience.

Location: Must be based in the United States

Company

hirify.global is a SaaS platform that empowers creators to use first-party data for personalized ecommerce experiences.

What you will do

• Monitor anti-abuse signals and logs to identify threats and recommend mitigations.
• Investigate compliance events and perform triage to determine scope, urgency, and impact.
• Partner with Engineering and Security to tune signals and improve sending infrastructure.
• Implement AI-driven workflows to automate detection and operational processes.
• Collaborate with R&D, Deliverability, and external vendors to manage the abuse ecosystem.
• Document runbooks, case notes, and share knowledge through internal guides.

Requirements

• 3+ years of experience in a technical SaaS company, anti-abuse, or trust & safety role.
• Proficiency in data analysis and SQL or equivalent query experience.
• AI fluency and experience using LLMs to accelerate investigations and summarize incidents.
• Hands-on experience with anti-abuse tools like Sift, Stripe Radar, or eHawk.
• Strong understanding of security protocols, messaging compliance (Email/SMS), and global regulations.
• Familiarity with log analysis tools like Splunk or Datadog.

Nice to have

• Active participation in anti-abuse industry groups like M3AAWG.
• Python, pandas, or BI tool experience (Looker, Tableau) for deeper data analysis.
• Experience with SMS/MMS technologies, technical writing, or web development.
• Proficiency with workflow automation tools like Zapier.

Culture & Benefits

• Comprehensive health, welfare, and wellbeing benefits.
• Participation in the company's annual cash bonus plan and equity opportunities.
• Culture of diversity and inclusion, valuing unique backgrounds and perspectives.
• Commitment to responsible AI use with human-in-the-loop systems.
• Opportunity to work in a fast-paced, growth-oriented environment with high autonomy.