Applied Cyber, Detections

Company shown to members 🔒 · Remote · US only

US only3+ years required$75K–95K/yrPublished 15 July 2026Check carefully

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
3+ years required
Where you can live
US only
Languages
English
Skills and tools
google workspace, jira, python, social media, customer success, onboarding
Degree or licence
Mentioned (degree in)
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
$75K–95K/yr
Experience
3+ years required
Employer publication date
15 July 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

ABOUT the company

The company is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world’s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, the company connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.

Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, the company is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet’s most urgent trust and safety challenges.

THE ROLE

At the company, we focus on building a culture where people feel respected, supported, and trusted to do meaningful work. We value clarity, collaboration, and solving real problems for our customers and teammates.

We are looking for an Architect, Applied Cyber, Detections to improve detection workflows, conduct ad hoc OSINT investigations, and support key customer implementations. You will optimize intelligence sourcing and brand abuse detection capabilities, partner with Product and Engineering teams, and help drive scalable platform improvements.

WHAT YOU WILL DO

  • Support post sales detection operations for customers by translating risk, brand abuse, and phishing use cases into effective and scalable detection coverage across website domains, SOCMINT, and other related surface areas.
  • Conduct onboarding, detection logic implementation, and sourcing workflows for select customers.
  • Build, refine, and validate platform automation logic using proprietary frameworks to support alert triaging and movements.
  • Investigate and conduct root cause analyses (RCAs) for missed detections, false positives, false negatives, improper alert movements, and low volume customers.
  • Work alongside Customer Success Managers (CSMs), Account Executives (AEs), and Technical Account Managers (TAMs) to support ad hoc detection requests and platform configurations.
  • Collaborate cross functionally with Engineering, Product, and other Solutions Architecture teams to surface platform limitations, share detection findings, and contribute ideas for process improvements.
  • Stay up to date with trends, patterns, and evolving TTPs related to agentic phishing, credential theft, recruitment scams, social media impersonation, disinformation, and paid ads abuse.

WHAT WE ARE LOOKING FOR

  • 3+ years of experience in OSINT investigations, threat intelligence, or detections engineering.
  • 1+ years of experience conducting SOCMINT investigations.
  • Experience using URL intelligence platforms and constructing complex queries (for example, URLScan, VirusTotal, or Spamhaus).
  • Demonstrated knowledge of common phishing and credential theft TTPs.
  • Demonstrated knowledge of common social media, paid ad, and SERP abuse patterns.
  • Strong ability to support ad hoc customer requests and collaborate in cross functional discussions with Product and Engineering teams.
  • Excellent written and verbal communication skills in English.

NICE TO HAVE

  • A degree in cybersecurity, information assurance, intelligence studies, or data analytics.
  • Experience creating advanced SERP queries (Google dorks).
  • Experience using, building, or supporting agentic workflows beyond answer and response interactions (for example, Claude Code, Codex, OpenClaw, or self hosted LLM agents).
  • Experience using Python for automation.
  • Experience using Google Workspace.
  • Experience using Jira or Linear.

WHY JOIN the company

  • Compensation: $75,000 to $90,000 OTE based on location and relevant experience.
  • Meaningful equity so you share in the company’s success.
  • Remote first culture.
  • Flexible PTO, comprehensive health benefits, parental leave, and more.
  • A high growth environment where your work has immediate impact and visibility.

JOIN the company

The company is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.

We’re not just another cybersecurity company. We’re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world’s most recognized brands, the company is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.

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