Staff Threat Analyst, Ads Fraud

Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

As Reddit’s advertising ecosystem rapidly expands, protecting the 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 threat response frameworks, operational playbooks, and detection pipelines from scratch.

• 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.
• 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.
• 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.
• Design, document, and standardize operational playbooks, escalation frameworks, QA standards, and feedback loops for all investigative and enforcement pathways.

• 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.

Base salary range: $167,500—$234,500 USD. Eligible for equity in the form of restricted stock units. Benefits include comprehensive healthcare, 401k with employer match, flexible vacation, paid parental leave, and more.