NooksSan Francisco, CASecond Security Engineer at Nooks.ai, securing an AI-native sales platform and its AI agents. Own threat modeling, secure SDLC, cloud hardening, compliance (SOC 2), and novel AI security challenges (guardrails, prompt injection). Requires 4-5+ years in infosec with strong app/cloud security fundamentals; startup experience preferred.
Lead application security strategy and implementation for Decagon's conversational AI platform. Partner with engineering teams to build security into AI-powered applications and establish testing programs.
Builds and implements detection systems and automated responses for AI-specific threats like prompt injection and model extraction on distributed GPU infrastructure. Leads incident response, proactive threat hunting, and cross-team security coordination with 3-5+ years in security operations.
Builds authentication, security features, and AI-powered risk detection systems to ensure user trust and safety at scale. Requires 5-8 years experience in trust/safety/security with cross-functional collaboration.
Owns and evolves security infrastructure across compute, storage, networking, and data platforms for foundation models. Architects secure patterns, manages identities/secrets, builds threat models, and automates security checks in Kubernetes/cloud environments. Requires strong systems programming and infra experience.
Build and scale security foundations for Decagon's AI customer experience platform, implementing controls, tooling, detection pipelines, and partnering with engineering teams. Requires 3+ years security engineering with strong coding skills and cloud experience, ideally Google Cloud; onsite in San Francisco.