GC AI

Compensation

Full Description

About The Role Help harden, simplify, and operationalize a TypeScript-based production system used by security-conscious, legal/regulatory, and enterprise customers. This is not a feature-churn role – though you may contribute directly to product experiences. The core need centers on security, auditability, infrastructure correctness, and customer trust, with occasional forward-deployed and sales-adjacent work when deep technical context is required. A major component of this role will be to collaborate to form and evangelize engineering direction and culture with respect to security needs. If you’re comfortable owning security surfaces end-to-end—code, cloud, and customer conversations—this role will suit you. We’re an AI-forward environment and (responsibly) use AI tools like Cursor and Claude Code for our work. What You'll Do Help unify logging, security events and other auditability functionality within our platform. Work with legal and sales to help communicate security posture, functionality, and compliance. Work with DevOps and other engineering functions to promote and maintain strong security positions, clear auditability, tight network boundaries, and alignment with security, compliance, and customer needs. What You Bring Strong experience with TypeScript across backend and frontend. Production experience with Google Cloud Platform (IAM, service accounts, project isolation). Experience with infrastructure as code (Terraform, Pulumi, or similar). Practical experience designing or implementing: Audit logs and SIEM experience Access controls / complex roles, organizations, and permissioning Security-relevant telemetry Ability to reason about real risk vs. checklist compliance. Nice to Have Experience acting as a technical lead either on a team or a vertical, strong soft skills. Familiarity with security questionnaires, vendor risk reviews, SOC 2, and audits. Prior work in regulated or compliance-heavy environments. Comfort working directly with customers or sales in technical contexts.