Detection Engineering Lead

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dropzone AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

Artificial Intelligence

Dropzone AI is an organization whose name indicates an artificial intelligence focus. The supplied material contains only website/CSS code and layout variables (styling and theme definitions) and does not include product, service, customer, or company details. Because no explicit business information is present, I cannot reliably state what Dropzone AI builds or who its customers are; however, based solely on the company name, it is reasonable to classify it as operating in artificial intelligence. No other industries can be confidently inferred from the provided text.

📋 Description

• Reimagine how having unlimited detection engineering capacity could change Detection and Response teams and how future security practitioners interact with an AI detection engineer • Prototype, validate, and continuously improve an AI agent that programmatically generates detection content across diverse security environments. • Experiment autonomous agentic loops between detection engineering and other D&R functions such as threat intelligence and threat hunting • Partner with engineering teams to encode expert detection knowledge into our product. • Design scoring rubrics on AI generated detection content for SIEM, EDR, NDR, cloud, identity, and SaaS security platforms. • Provide guidance on detection methodologies used by mature SOCs. • Establish best practices for detection quality, tuning, testing, and lifecycle management. • Influence product roadmap decisions based on customer and operational needs. • Stay current on emerging threats, attacker techniques, and defensive strategies. • Conduct original research into detection opportunities and gaps. • Develop novel approaches for AI-assisted threat detection.

🎯 Requirements

• 5+ years of experience in detection engineering • Deep expertise with two or more major SIEM platforms (Microsoft Sentinel, Splunk, QRadar, Elastic, Chronicle, Sumo Logic, etc.) • Strong understanding of endpoint, cloud, identity, network, and SaaS telemetry • Expertise in MITRE ATT&CK, adversary emulation, and detection coverage analysis • Experience building and tuning high-fidelity detections at scale • Strong understanding of modern attacker tradecraft across Windows, Linux, cloud, identity, and SaaS environments • Excellent communication skills with the ability to engage practitioners, executives, and customers • Early-stage startup mindset. You thrive on ambiguity and move with lightspeed execution • Being data-driven is part of your DNA.

🏖️ Benefits

• health insurance • 401K Plan with employer match • Self-Managed PTO • parental leave • significant above market new hire equity grants