Lead data strategy and architecture for AI-native SaaS, building secure, tenant-isolated context and retrieval layers, data platform, integrations and eventing. Define data contracts, models, and observability; make buy-vs-build decisions; mentor and grow a small Data team; partner with Product, Engineering, AI and Platform to enable reliable agentic AI features and compliant data access.

Lead application and infrastructure security, SIEM, vulnerability management and compliance (SOC 2, ISO 27001/17/18). Implement security tooling (SAST/DAST, IaC controls), own customer security responses, and build AI security guardrails. Work cross-functionally with product, engineering and customer teams to embed pragmatic, engineering-fluent security practices across a scaling AI-first SaaS platform.

Design, architect and implement high-performance, scalable backend services in Golang. Build and maintain event-driven systems supporting AI-first, agentic workflows. Contribute via design and code reviews, champion best practices, and ensure a production-ready, performant codebase.