Support Engineer

Confiant; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Fully Remote

Unlimited PTO

Sabbatical

Stock Option Plan

Healthcare Plans (Medical, Dental &amp

Vision

FSA & Commuter Benefits

Disability & Life Insurance

401(k) Plan

Family Leave

Learning & Development Budget

Office Supply Stipend

Co-working Membership

Job summary

Confiant, a cybersecurity company for advertising, seeks a Support Engineer to triage malvertising incidents and guide blocking decisions for publishers and partners. You’ll diagnose issues, verify integrations, and provide technical guidance across display, video, and in-app formats.

We value an investigative mindset, strong communication, and a passion for web tech and industry trends. This is a fully remote role with a customer-first mindset and collaborative product feedback loops.

Qualifications

• 3+ years in a Support Engineering, Technical Support, or Trust & Safety role.
• Experience in AdTech-adjacent position.
• Able to read and debug JavaScript and ad markup, and trace ad redirects.
• Hands-on with browser and network debugging tools (DevTools, HAR).
• Capable of triaging time-sensitive escalations and clear communication.
• Excellent written and verbal communication; explain root causes clearly.
• Organized, detail-oriented, transparent and proactive.
• Investigative mindset and entrepreneurial approach to problems.
• Interest in web technologies and malvertising industry trends.

Responsibilities

• Respond to security escalations and triage live malvertising incidents.
• Review creatives and apply blocking decisions with accuracy.
• Investigate and reproduce issues using traces and tests.
• Verify and enable integrations across properties and formats.
• Analyze discrepancies and produce ad-hoc reports.
• Serve as a technical resource for customer teams and escalation points.
• Close the loop with Product by relaying feedback and insights.

Skills

Communication

Investigation

Incident escalation

AdTech knowledge

Troubleshooting

Tools

Chrome DevTools

HAR analysis

JavaScript debugging

Ad markup debugging

Prebid.js

Wrapper setups

SQL

Job description

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

• Respond to security escalations. Triage and drive resolution of live malvertising incidents (redirects, malware, scareware, scam and prohibited creatives) reported by publishers and platform partners, coordinating with the Security team on the most sophisticated cases.
• Review creatives and apply blocking decisions. Evaluate reported and flagged ads, apply and refine blocking specifications, and resolve miscategorization, false-positive, and false-negative disputes with sound, consistent judgment.
• Investigate and reproduce issues. Use ad traces, network/DevTools analysis, and device/geo/environment testing to reproduce problems, trace malicious redirect chains through ad markup, and explain root cause.
• Verify and enable integrations. Run script verifications, enable coverage on new properties and formats (display, video, in-app), and troubleshoot wrapper, Prebid, APS, and API configurations.
• Analyze discrepancies and reporting questions. Investigate impression and monitoring discrepancies and produce ad-hoc reports.
• Serve as a technical resource. Act as the go-to for customer-facing teams on technical matters and as an escalation point for the broader Customer organization.
• Close the loop with Product. Relay customer feedback and recurring pain points, and field insights to the Product team to improve the platform.

Experience & Qualifications

• 3+ years in a Support Engineering, Technical Support, or Trust & Safety / security-operations role.
• Working experience in ad operations or another AdTech-adjacent position.
• Able to read and debug JavaScript and ad markup, and to trace redirect chains and creative behavior.
• Hands-on proficiency with browser and network debugging tools (Chrome DevTools, HAR/network waterfall analysis).
• Comfort operating a high-volume queue: triaging and prioritizing time-sensitive escalations and communicating clearly during active incidents.
• Excellent written and verbal communication; you can explain a technical root cause to a non-technical contact.
• Exceptional organization, attention to detail, accountability, and transparency.
• An investigative mindset and entrepreneurial spirit — you dig until you find the real cause.
• Passion for web technologies and for staying current with malvertising and industry trends.
• Ability to demonstrate and whiteboard the Confiant product suite to customers and partners.

Nice to Haves

• Familiarity with Google Ad Manager or other major ad servers.
• Familiarity with Python and PHP for scripting
• Knowledge of programmatic ad serving and the SSP/DSP supply chain.
• Hands-on experience debugging header-bidding technologies such as Prebid.js and wrapper setups.
• Experience with VAST/video and in-app (SDK) ad debugging.
• Experience debugging with Claude.
• Comfort with regular expressions (for keyword/blocklist logic) and basic SQL or dashboard/reporting tools for discrepancy and ad-hoc analysis.
• Exposure to security or trust-and-safety concepts (malware, phishing, cloaking, redirect techniques).

Benefits

• Fully Remote
• Unlimited Paid Time Off
• Sabbatical
• Stock Option Plan
• Exceptional Health Care Plans (Medical, Dental & Vision)
• FSA & Commuter Benefits
• Employee Sponsored Disability & Life Insurance
• 401(k) Plan with Automatic Employer Contribution
• Enhanced and Extended Family Leave
• Learning & Development Budget
• Yearly Office Supply Stipend
• Free Global Co-Working Membership

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.