Go-to-market is where technical capability either becomes revenue or becomes a cost center. The operating layer failure here is a strong product or dataset with no structured path to the buyer, no segmented messaging, and a pipeline built on hope. AI can accelerate a go-to-market motion or it can automate the production of noise. The difference is whether someone owns the operating discipline around it.
We have built go-to-market organizations and the systems underneath them. We architect the path to the buyer, segment messaging by buyer type, and stand up the lead generation and qualification infrastructure that turns activity into pipeline. We use AI to compress the work, not to replace the judgment about who to sell to and how.
Proof in this function
Career record. Built the customer-facing organization at BlackSky and scaled revenue from zero to 50 million dollars ARR in under four years, driving more than 80 percent of company revenue growth and converting 50 to 200 thousand dollar pilots into 1 to 5 million dollar multi-year contracts. Increased qualified pipeline 300 percent at Continuum Space Systems.
Case study. Architected the federal appropriations intelligence system that surfaced 150 plus qualified leads in a single month and drove a 32 percent increase in sales calls. Architected the four-agency government go-to-market that mapped 140 to 310 million dollars in addressable contract value.