Staff Threat Analyst, Ads Fraud
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This role on the market
252 open threat roles across 80 companies are on ApplySarthi right now, most of them in Bengaluru (27), Hyderabad (2).
- Security Consultant-AI-Driven Threat ManagementIBM
- Staff Threat Intelligence ResearcherJobgether
- Analyst Lead, Cybersecurity (SAST, DAST, Threat Modelling , SCA)Fis
- Principal - Digital Investigations, Analytics & Insider ThreatGsk · bengaluru
- Staff Software Engineer - Backend, Identity Threat ProtectionOkta · bengaluru
What threat roles keep asking for: Python (32%), SIEM (26%), AWS (16%), SQL (16%), Azure (13%) — counted across their open postings here.
LLMs jobs · Python jobs · R jobs · SQL jobs
Reddit has 145 open roles listed here.
- Product Manager, AI Foundations
- Product Manager, Ecosystem Relevance
- Staff Machine Learning Engineer, Ads Foundational Representations
- Engineering Manager, Ranking Platform
- Principal Software Engineer, Infrastructure
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for threat roles keep coming back to Python, SIEM, AWS, SQL. Practise those questions before you sit with Reddit.
Questions you are likely to be asked
- Why do you want to join Reddit?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- How would you explain a surprising number to a manager who does not believe it?
- Tell me about an analysis that changed a decision. What did you find?
- How do you check that your numbers are right before you share them?
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Practise the Staff Threat Analyst, Ads Fraud at Reddit interview free →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.
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.
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Listed on greenhouse · posted 2026-09-14. ApplySarthi collects openings and links to application pages; the role is advertised by Reddit, not by us.