I ship hard things
at impossible scale.
I lead the programs that sit between product ambition and technical reality: identity platforms, regulated migrations, privacy-sensitive systems, and cross-org launches that touch hundreds of millions to billions of users.
My range is from early ambiguity to scaled execution — turning unclear bets into programs, and programs into shipped systems.
I'm most useful when ownership is fragmented, incentives conflict, and the cost of getting it wrong is high.
Where I'm useful.
Align orgs that don't agree
I bring product, engineering, legal, privacy, policy, and operations teams into one execution system — even when incentives conflict.
Build platforms, not features
I've shipped foundational platforms at Meta and Amazon that other teams depend on — not one-off features, but durable infrastructure.
Use AI as a force multiplier
I use AI to accelerate program execution: automated UI testing, bug triage, onboarding material, status synthesis, and faster ramp-up on complex technical domains.
Scale I've worked at.
Recent focus: AI-augmented program management
Used Claude browser MCP to automate 50+ UI tests running twice daily, reduce QA effort by 50%, triage bugs faster, and create onboarding material for complex programs. My current interest is turning AI from a personal productivity tool into an execution multiplier for large programs.