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Security Analyst, Presales

Bolster AI

At Bolster, you’ll be part of the team protecting major global brands from phishing, impersonation, and online fraud campaigns targeting their users and employees. You’ll work in a highly dynamic environment investigating suspicious domains and websites, validating real-world threats, and pursuing takedown actions during active proof-of-concept (POC) evaluations. This role supports Sales and Solutions Engineering by uncovering and confirming malicious activity, performing threat hunting, and helping demonstrate platform effectiveness by supporting takedowns. It is a strong opportunity to join a small and nimble team and contribute to the continued growth of Bolster’s protection platform. Responsibilities Review and assess emerging phishing, impersonation, and online fraud threats targeting Bolster’s prospects. Identify and pursue takedowns for malicious content across web, social media platforms, and mobile application stores, including impersonation accounts, fraudulent applications, and related abuse. Perform targeted threat hunting to identify malicious domains, credential harvesting sites, fake login portals, and related attacker infrastructure across multiple modules. Use OSINT tools and investigative techniques (WHOIS, DNS records, certificate transparency, search-based discovery, and infrastructure pivoting) to enrich findings and uncover related malicious activity. Analyze suspicious websites, hosting infrastructure, DNS records, redirects, and related artifacts to detect attack patterns and emerging abuse trends. Pursue takedown actions during active proof-of-concept (POC) evaluations and track each case through successful remediation. Coordinate with registrars, hosting providers, and relevant abuse contacts to drive timely enforcement actions. Monitor previously reported malicious infrastructure to confirm suspension and identify re-registration, reactivation, or attacker evasion attempts. Support the Sales team with technical validation and threat intelligence during active POCs and evaluations. Generate periodic and ad-hoc reports highlighting threat activity, detection insights, and remediation outcomes. Qualifications 2+ years of experience in trust & safety or brand protection, with a focus on Pre-Sales. Well versed with phishing, impersonation, credential harvesting, and online fraud activity, including investigative and reporting workflows. Experience supporting technical evaluations, proof-of-concepts (POCs), or internal presales efforts is strongly preferred. Understanding of internet infrastructure, including domains, DNS, hosting providers, redirects, and attacker infrastructure. Knowledge of security and fraud detection principles and common attacker tactics, techniques, and procedures. Self-motivated and detail-oriented with the ability to work independently as well as collaboratively. Strong analytical and investigative mindset, including problem-solving and hypothesis-driven investigation. Strong written and verbal communication skills with the ability to clearly document findings and summarize technical information internally. Security certifications (Security+, GSEC, or similar) are a plus. Willingness and openness to assist with time-sensitive investigations aligned with active presales evaluations or critical incidents. Why Bolster Bolster is redefining fraud and brand protection. Our AI-driven SaaS platform detects and takes down phishing and scam sites in real time, protecting the world’s top brands and millions of consumers. Our culture values collaboration, curiosity, and ownership — every team member has a voice and an impact. We believe in building elegant, scalable solutions while maintaining a spirit of experimentation and fun. Learn more about our cultural values: bolster.ai/about-us What we offer: Excellent medical, dental, and vision insurance Flexible time off + paid holidays Equity + 401(k) plan We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. For California-based candidates, the estimated on-target earnings (OTE) range for this role is dependent on experience, qualifications, and location within the state. The final compensation package will be determined based on these factors and may include a combination of base salary, variable incentives, and benefits in accordance with applicable laws. #J-18808-Ljbffr Bolster AI

Vacancy posted 11 hours ago
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