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Описание вакансии
Текст:
TL;DR
Staff Threat Analyst (Ads Fraud) (AdTech/Trust & Safety): Building advertiser fraud detection strategies, investigative playbooks, and automated enforcement pipelines with an accent on account takeover, payment fraud, deceptive advertising, and adversarial network analysis. Focus on translating complex investigations into detection logic, risk scores, LLM-based classifiers, and scalable safety frameworks.
Location: Remote within the United States; optional access to offices in San Francisco, Los Angeles, New York City, and Chicago.
Base salary: $167,500–$234,500 USD per year, plus potential equity and commission depending on the position offered.
Company
Reddit operates a large online community platform with an advertising ecosystem serving users, communities, and advertisers.
What you will do
- Set the multi-quarter strategy and system architecture for advertiser fraud detection and enforcement.
- Prioritize and investigate account takeover, payment and billing fraud, cloaking, deceptive ads, and network abuse.
- Analyze complex fraud networks, perform root-cause analysis, and map adversarial infrastructure.
- Partner with Product, Engineering, Data Science, Operations, Ads, and Policy teams to build detection logic, risk scores, and automated enforcement pipelines.
- Design and standardize investigative playbooks, escalation frameworks, QA standards, and feedback loops.
- Translate adversarial insights into strategic guidance for senior leadership.
Requirements
- 7+ years of experience in threat intelligence, ad tech safety, trust and safety investigations, or platform integrity.
- Experience focused on ad fraud, financial crime, account takeover, or spam abuse.
- Experience building threat response frameworks from scratch in ambiguous environments.
- Strong proficiency in SQL, Python or R, and big data environments, including petabyte-scale datasets and adversarial network graphs.
- Experience using AI and LLMs as investigative copilots and partnering with machine learning teams on LLM-based detection classifiers.
- Deep knowledge of digital advertising ecosystems, ad-serving infrastructure, and ad-specific fraud patterns.
Nice to have
- Familiarity with global advertising compliance, privacy regulations, and regulatory reporting standards.
Culture & Benefits
- Fully remote work within the United States, with optional office access.
- Healthcare benefits and income replacement programs.
- 401(k) with employer match and flexible vacation.
- Paid volunteer time, parental leave, family planning support, and gender-affirming care.
- Mental health, coaching, professional development, caregiving, and other global benefit programs.
Hiring process
- Some interviews may be recorded, transcribed, and summarized by AI; candidates may opt out before scheduled interviews.
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