[Hiring] Staff Threat Analyst @Reddit

Role Description

As Reddit’s advertising ecosystem rapidly expands, protecting our platform, advertisers, and users from bad actors is paramount. We are seeking a Staff Threat Analyst to serve as the operational architect for Advertiser Fraud within Safety. You will have end-to-end ownership to establish the strategy, build foundational detection playbooks, and define enforcement frameworks.

You will work in tight partnership with cross-functional Product, Engineering, Data Science, and Ops teams across both Safety and Ads orgs to convert adversarial insights into scalable automated defenses. This is a 0-to-1 opportunity to shape our threat response frameworks, operational playbooks, and detection pipelines from scratch.

Responsibilities

• Strategy & System Architecture:
  • Formulate and execute a multi-quarter vision for advertiser fraud detection and enforcement.
  • Independently prioritize high-impact risks like account takeover (ATO), payment/billing fraud, cloaking, deceptive ads, and network abuse.
• Deep Analytics & Investigations:
  • Conduct deep-dive investigations into complex, multi-entity fraud networks and sophisticated adversarial tactics.
  • Drive root-cause analysis and map cluster infrastructure to prevent recurring abuse.
• Product/XFN Delivery:
  • Partner directly with Data Science and Engineering to translate investigative findings into high-precision detection logic, risk scores, and automated enforcement pipelines.
  • Serve as the primary Safety SME interfacing with Ads Product, Ads Engineering, and Policy teams to align on shared risks.
  • Synthesize complex adversarial dynamics into strategic guidance for senior leadership.
• Playbook & Methodology Development:
  • Design, document, and standardize operational playbooks, escalation frameworks, QA standards, and feedback loops for all investigative and enforcement pathways.

Qualifications

• 7+ years of experience in threat intelligence, ad tech safety, trust & safety investigations, or platform integrity (focused on ad fraud, financial crime, ATO, or spam abuse).
• Demonstrated 0-to-1 track record of operating in ambiguous environments to build threat response frameworks.
• Strong proficiency in SQL, Python or R, and big data environments to independently query petabyte-scale datasets and construct adversarial network graphs.
• Experience using AI/LLMs as investigative copilots and partnering with ML teams to deploy LLM-based detection classifiers.
• Deep functional expertise in digital ad ecosystems, ad serving infrastructure, and ad-specific fraud archetypes.

Preferred Qualifications

• Familiarity with global ad compliance, privacy regulations, and regulatory reporting standards.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave