Identify buying intent. Convert it into real, active opportunities — not generic leads that go nowhere.
Enterprise GTM leader with a track record of building real pipeline — not just activity.
I was one of the first people selling directly into cloud builders when that wasn't even a defined motion yet. At HGST (Western Digital), I helped build the cloud business unit from scratch — grew U.S. cloud revenue from $0 to $12M in year one by going direct to companies like Salesforce, Uber, and Rackspace before anyone else was talking to them.
From there I joined Pavilion Data as their first sales hire — no playbook, no inbound, just a product and a market to figure out. Built the GTM motion around NVMe-oF from the ground up and closed the first enterprise deals.
At UST, I sold enterprise AI solutions before most companies had an AI strategy — LLMs for document retrieval, computer vision, image recognition, and MLOps platforms that let data science teams deploy and monitor their own models. That meant living in rooms with CIOs, Chief Data Officers, data engineers, and data scientists — understanding what they're actually trying to build, not just what they say they need.
Most recently at Samsung, I built their Storage-as-a-Service business from concept — qualifying multi-year opportunities from $10M to $90M across neo-cloud and enterprise accounts, with a direct focus on AI infrastructure and GPU workload alignment.
InfraPipeline is what I do when companies need someone who can connect the AI application layer to the infrastructure decisions underneath it — and actually close the deal.
Built Samsung's Storage-as-a-Service GTM motion from zero — qualifying 16 high-value, multi-year opportunities ($10M–$90M)
Managed $800M+ enterprise portfolio at Flex, including a $300M Broadcom account — exceeded quota by 10%+ consistently
Grew U.S. cloud revenue from $0 to $12M in Year 1 at HGST, pioneering direct qualification with Salesforce, Uber, and Rackspace
Earned Samsung's highest annual performance rating in 2024 for full-cycle ownership of a strategic R&D-to-revenue initiative
Sold enterprise AI solutions at UST — LLMs, computer vision, MLOps platforms — into CIO and Chief Data Officer conversations across Enterprise, BFSI, Manufacturing, and Healthcare
Four steps that move an account from cold signal to active opportunity.
Where does the conversation start — and why now? Includes identifying the right stakeholders, partners, or paths into the account.
Position around real infrastructure, cost, or performance drivers — not generic value props that get ignored.
Establish why you vs. competitors before the first real conversation — not after you've already lost the frame.
Align stakeholders, internal drivers, and timing to move from introduction to active opportunity.
Deep experience across the full infrastructure stack.
15 minutes. No pitch. Just a direct conversation about what's in motion and where the gaps are.
Book a 15-min pipeline review →