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Support Engineer at Confiant, a cybersecurity company for advertising, triaging live malvertising incidents such as forced redirects, scareware, malware and scam creatives reported by publishers and platform partners. The role covers reviewing creatives and making blocking decisions, verifying integrations (wrapper, Prebid, APS, API), investigating discrepancies, and feeding findings to Product and Security teams. Stack and tools include JavaScript, ad markup, Chrome DevTools, HAR analysis, and optionally Python, PHP, SQL, and Prebid.js.
Please note: Due to high application volume, we’re unable to respond to messages or accept resumes sent through email or other platforms. Please apply through this page only!
About Confiant
Confiant is cybersecurity built for advertising. We secure the ad economy from the inside out, providing real-time intelligence and precise controls that detect and block malvertising, scams, disruptive creatives, and compliance risks before they reach users. By disrupting the business models of bad actors, Confiant empowers digital media to enforce standards, ensure quality, and uphold trust across the ad economy. We protect what matters most — revenue, reputation, and relationships — securing the foundation that allows good advertising to thrive.
Role Overview
As a Support Engineer at Confiant, you are the front line when a malicious or disruptive ad reaches one of our publishers or platform partners. You'll triage and resolve live incidents: forced redirects, scareware, malware, scam and policy-violating creatives, often under time pressure and with revenue or reputation on the line. Between incidents, you'll review reported creatives and make blocking decisions, verify and enable integrations, investigate discrepancies by tracing ad behavior across devices and environments, and feed what you learn back to our Product and Security teams.
This is a hands-on, technical, customer-facing role. Success requires a strong technical foundation, sharp investigative instincts, calm judgment during escalations, and a genuine customer-first mindset.
Key Responsibilities
Experience & Qualifications
Nice to Haves
Benefits
Confiant may use artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications. These AI/ML tools assess applications against the characteristics and qualifications relevant to the job requisition. These tools are designed to help identify potentially qualified candidates, but they do not make automated hiring decisions. The AI/ML-generated assessments are one of several factors considered in the hiring process. Our human recruiters thoroughly evaluate your skills and qualifications to determine your suitability for the role.
If you are a New York City resident, you have a right to take at least 10 business days to decide whether to proceed with submitting your information through this process. By continuing, you confirm your understanding of this notice. If you choose to proceed before the 10-business-day period expires, you are making a knowing and voluntary decision to do so.
Compensation: $85K - $180K
