Build and chair an executive AI council that sets policy, approves investments, and unblocks cross-functional work.
Lead a cross-functional working group of departmental representatives to identify, build, deploy, and scale AI inside their domains.
Architect and ship agentic workflows on frontier models that automate or substantially augment real work across the business.
Build the semantic and data layer that is the foundation of the program to allow agents to act with precision.
Track, validate, and report ROI for AI initiatives and ensure alignment across the C-suite for implementation.

Top-tier academic background — leading university and quantitative discipline (Computer Science, Engineering, Mathematics, Physics, Economics, or similar)
Roughly 6–10 years of progressive experience in areas like technical AI/ML work, strategy consulting or operating role at a high-performance SaaS company
Real, recent, hands-on expertise applying frontier models (Claude, GPT, Gemini, leading open source) in production
Working knowledge of MCP (Model Context Protocol) and a track record integrating LLM systems with Salesforce, ticketing, Slack, Gong, finance and close tooling, and similar SaaS surfaces
Practical understanding of AI security, privacy, and risk: prompt injection, data exfiltration, audit logging, red-teaming, and HIPAA/PHI handling.

Head of AI Operating System

Key skills