Build and advance application and product security across the engineering organization. Responsibilities include establishing secure defaults, CI guardrails, security requirements, threat modeling, risk assessments, penetration testing, vulnerability remediation, secure coding education, roadmap ownership, and hands-on code review. The role partners closely with product, engineering, DevOps, and services teams to secure applications, microservices, and AI features while enabling efficient development.

Own and build Grow Therapy's data security infrastructure: automated data classification, field-level masking/tokenization, encryption and key management, secure data connectors to AI tooling, and access controls. Define a multi-year vision, implement pipelines and services, and partner across Data, Engineering, and Detection & Response to make secure-by-default the company standard.

Lead and execute Grow Therapy's multi-year Security Engineering roadmap. Build secure-by-default infrastructure (auth, authZ, logging, egress), drive data security and systematic data tagging, develop org-wide security scorecards, enable automated least-privilege and vulnerability management, and influence AI-native security and security culture across product, platform, and compliance teams.