远程工作雷达

资深威胁分析师, 广告欺诈

Staff Threat Analyst, Ads Fraud

其他限定地区(需当地身份)
公司Reddit
薪资未公开
工作地点Remote - United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间昨天
数据来源Greenhouse
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 Remote - United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Reddit 是一个由社区组成的社区。它建立在共同的兴趣、热情和信任之上,是互联网上最开放和真实的对话场所。每天,Reddit 用户提交、投票并评论他们最关心的话题。拥有 100,000 多个活跃社区,以及大约 1.3 亿日活跃独立访客,Reddit 是互联网上最大的信息来源之一。如需更多信息,请访问 www.redditinc.com。

Reddit 正在继续壮大我们的团队,招募最优秀的人才。此职位完全支持远程办公,仅限于美国境内。如果你恰好住在我们的线下办公室所在地(旧金山、洛杉矶、纽约市和芝加哥)附近,我们欢迎你随时来办公室工作。

随着 Reddit 广告生态系统的迅速扩展,保护我们的平台、广告商和用户免受恶意行为者的侵害至关重要。我们正在寻找一位资深威胁分析师,作为广告商欺诈领域安全团队的运营架构师。你将对建立策略、构建基础检测操作手册和定义执行框架拥有全流程的主导权。

你将与安全和广告部门的产品、工程、数据科学和运维团队紧密合作,将对抗性洞察转化为可扩展的自动化防御措施。这是一个从 0 到 1 的机会,可以从零开始塑造我们的威胁响应框架、操作手册和检测流程。

职责:

  • 策略与系统架构:制定并执行广告商欺诈检测和执行的多季度愿景;独立优先处理高影响风险,如账户接管(ATO)、支付/账单欺诈、伪装、欺骗性广告和网络滥用。
  • 深度分析与调查:对复杂的多实体欺诈网络和高级对抗性战术进行深入调查。推动根本原因分析,并映射集群基础设施以防止重复滥用。
  • 产品/XFN 交付:直接与数据科学和工程团队合作,将调查结果转化为高精度检测逻辑、风险评分和自动化执行流程。作为主要的安全专家,与广告产品、广告工程和政策团队对接,确保共享风险的一致性。将复杂的对抗动态转化为对高层领导的战略建议。
  • 手册与方法论开发:设计、文档化并标准化操作流程,建立统一的检测和响应标准。
查看英文原文

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like.

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 & Experience:

  • 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

#LI-SP1
Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:
$167,500—$234,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

该公司其他在招职位

后端工程师

Reddit远程 · 中国50k以上远程全职昨天
开发工程明确接受中国求职者中文

知识产权总监

Reddit远程 · 中国50k以上远程全职8 天前
其他明确接受中国求职者中文

← 返回全部职位