Lead and scale a high-performing delivery org
Own end-to-end execution of AI agent deployments for enterprise customers across a portfolio, from scoping through launch and iteration
Build, lead, and develop a team of Agent Builders; hire, coach, and set a high bar for quality, velocity, and customer outcomes
Establish delivery operating rhythms (planning, reviews, retros), capacity planning, and forecasting to ensure predictable execution
Drive executive-level customer engagements
Interface with senior technical stakeholders and executives to define success criteria, align on constraints (security/compliance), and drive delivery against timelines
Lead complex escalations and unblock cross-functional teams when quality, timelines, or customer outcomes are at risk
Translate customer needs into crisp internal documentation and execution plans across Product/Engineering/GTM
Create repeatable playbooks and scale mechanisms
Define and standardize delivery methodologies and artifacts (e.g., AOP quality bar, launch readiness checklists, iteration loops)
Establish best practices for evaluation and guardrails to ensure safe, compliant, and predictable agent performance in real-world scenarios
Improve tooling and processes to reduce time-to-launch and increase reliability across deployments
Influence the platform roadmap through deployment insights
Identify recurring product/platform gaps and drive prioritization with Engineering and Product leadership
Partner with internal teams to turn real customer needs into platform improvements that compound across deployments