AI infrastructure customer success
Scaling the post-sales operating model for high-complexity AI platforms and enterprise deployments.
I build and scale post-sales teams, support systems, and customer operations for complex enterprise technology products. Currently, I lead Customer Success and Support at Cerebras.
About
I have spent 20+ years at the intersection of customer success, technical support, engineering escalation, knowledge management, automation, and global team leadership.
My work centers on helping deeply technical organizations translate customer needs into durable operating models: better post-sales motions, stronger support systems, cleaner escalation paths, and higher-confidence customer outcomes.
Current focus
Scaling the post-sales operating model for high-complexity AI platforms and enterprise deployments.
Designing support, escalation, and SME models that improve customer trust without operational drag.
Using KM, tooling, and AI-enabled workflows to deflect repeat work and speed resolution.
Building resilient teams, clear decision systems, and practical management habits.
Operator
I lead teams responsible for customer outcomes across complex product environments, where success depends on technical depth, cross-functional execution, and disciplined systems thinking.
Builder mindset
I am interested in how AI changes the way customer-facing technical teams work: faster learning loops, better internal tooling, stronger knowledge flows, and more scalable customer engagement.
Writing
I write about leadership, management, and operating lessons for people building and leading technical teams. The goal is practical clarity: how to make better decisions, build stronger teams, and manage through complexity.
Visit The Manager's Prism →Connect
I am always interested in conversations around AI infrastructure, customer success leadership, support transformation, advisory work, and senior operator opportunities.