Luxury Presence is the leading growth platform for high-performing real estate agents, teams, and brokerages. The company provides agent-branded websites, advanced marketing tools, and Presence® CRM, the AI relationship engine that transforms an agent’s sphere into a proactive source of new business. More than 17,000 real estate businesses rely on Luxury Presence to elevate their brand, attract clients, and grow their business, including 30% of the Wall Street Journal RealTrends top agents and teams.
We’re seeking our first Staff Security Engineer to lead the charge in securing our product platform — spanning web, mobile, and AI-driven services. This role is ideal for someone who combines deep technical expertise with a proactive, automation-first mindset. You’ll ensure our systems, data, and AI agents are protected by best-in-class practices and tooling, while fostering a culture of security awareness across the company.
You’ll partner closely with engineering, infrastructure, DevOps, and product teams to design, implement, and maintain automated security mechanisms that scale — from continuous monitoring and vulnerability management to defending against new classes of threats emerging in the AI era (such as prompt injection and data exfiltration via LLMs).
Responsibilities
Security Foundations & Automation
• Design and implement automated systems to monitor, detect, and mitigate security risks across infrastructure, application, and AI layers.
• Lead efforts to integrate continuous security testing into CI/CD pipelines (SAST, DAST, dependency scanning, container scanning, etc.).
• Build and maintain automated alerting and remediation workflows for security events.
• Architect and implement robust authentication and authorization frameworks for end users, ensuring secure, scalable access control across web, mobile, and API surfaces (e.g., OAuth 2.0, SSO, role-based and attribute-based access models).
Application & Cloud Security
• Harden cloud environments (AWS, GCP) and enforce least-privilege IAM, network segmentation, and encryption standards.
• Conduct architecture reviews, threat modeling, and code audits to ensure secure design across all services.
• Collaborate with engineering teams to define secure coding standards and best practices.
AI & LLM Security
• Develop security frameworks and tooling to detect and prevent LLM-specific vulnerabilities (e.g., prompt injection, data leakage, malicious model responses).
• Implement guardrails for AI systems, including content filtering, input validation, and output sanitization.
• Partner with our AI engineering team to design safe orchestration between models, APIs, and user data.
Incident Response & Compliance
• Own and continuously improve our incident detection, response, and recovery processes.
• Collaborate on internal audits and compliance efforts.
• Serve as a key advisor on emerging threats, vulnerabilities, and evolving best practices.
Qualifications
