• Define and continuously evolve security architecture across our multi-tenant SaaS platform, on-prem product, and distributed agent systems. • Establish security design principles for multi-tenant isolation, IAM, secrets management, and cloud boundaries. • Embed security into engineering workflows through strong partnership with Engineering Directors and Principal Engineers. • Own governance, risk, and compliance strategy, including SOC 2 maturity and audit readiness. • Treat AI security as a first-class security domain and partner with our AI leaders to shape secure AI product strategy from inception. • Define guardrails for internal AI usage, including data access boundaries, vendor risk, model retention policies, and prompt leakage risks. • Anticipate how AI changes privilege models, data routing, and attack surface area. • Ensure AI adoption increases leverage without creating uncontrolled data exposure. • Define how security is embedded into CI/CD pipelines, infrastructure-as-code, identity systems, secrets management, and software supply chain workflows in partnership with platform and product engineering teams. • Guide the design of logging, detection, and response capabilities across our cloud and developer environments. • Oversee penetration testing programs and ensure findings translate into durable engineering improvements. • Build and grow the DevSecOps capability over time, including hiring dedicated engineers to own security tooling and automation. • Directly manage and coach the IT/InfoSec Manager and help mature the corporate IT, governance, risk, and compliance function. • Ensure endpoint security, vendor access, onboarding/offboarding, and internal systems meet strong security standards. • Align IT operations and compliance processes with engineering-driven security architecture.