• Build & Lead the AI Governance Delivery Practice • Design the end-to-end AI Governance Platform delivery model: engagement structure, onboarding playbooks, embedded deployment, escalation paths, and success metrics • Build delivery capabilities across the product roadmap (AI Gateway, MCP Hub, Governance Platform) • Design value pricing frameworks that quantify governed AI outcomes in terms that enterprise buyers understand • Develop reference architectures, maturity assessments, and trust frameworks that become repeatable, sellable IP • Build MCP and agent-to-agent (A2A) governance delivery capabilities as new product modules launch • Translate compliance requirements into scalable delivery IP: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR • Recruit and develop AI governance delivery specialists • Manage & Evolve Existing Services Function • Own the existing professional services portfolio (both one-time engagements and recurring revenue) ensuring delivery quality and client satisfaction • Transition existing enterprise customers onto new product modules as they launch • Maintain the financial discipline of a bootstrapped company: forecasting, margin management, and resource planning • Enterprise Sales • Co-lead (with the CRO) enterprise sales conversations with CISOs, Chief AI Officers, and CFOs • Articulate the governed AI value proposition and close value-priced engagements • Drive expansion and renewal through embedded delivery that creates measurable customer value • Shape go-to-market strategy for outcome-based delivery alongside the CRO and CTO • Build and AI-Native Culture • Operate as an AI-native leader - using AI tools daily to amplify output, decision-making, and team productivity • Recruit, develop, and retain team members who create with AI, not just manage AI projects • Push AI-native operating norms throughout the delivery organization