Revenue leadership
Strategy, org design, GTM, demand gen, lifecycle, brand, content, sales enablement, customer success. The full revenue surface.
Twenty years across sales, marketing, customer success, product, AI systems, and platform architecture. I've run growth and CS at Series A startups, rebuilt platforms for 60,000-member ecosystems, and wired AI agents into the seams of organizations that had no idea what an agent was.
AI revenue agent platform for sales and marketing. Building the operating system for AI-native marketing teams, the same internal tools I'd been writing by hand at every fractional engagement.
Embedded operator role. I rewire sales, marketing, and CS motions around agents, redesign the org chart, and ship pipeline. 3 active engagements. $1.3B+ pipeline generated to date.
Owned 22 digital properties, 110+ board leaders, 150 ambassadors. Grew social 1,400% YoY. Designed the platform architecture and the data pipeline underneath it.
Built the growth team from 1 to 18. Established the experimentation cadence, the attribution model, the lifecycle program. Acquisition exit in 2019.
Cut my teeth on spreadsheets and curiosity. Learned that good operators read SQL, not strategy decks. Took notes on every team I admired.
Strategy, org design, GTM, demand gen, lifecycle, brand, content, sales enablement, customer success. The full revenue surface.
Agent design, multi-step workflows, prompt engineering, RAG, evals, n8n, Claude, OpenAI.
Data warehouse, pipelines, BI, attribution, integrations. I read SQL before I read decks.
0→1 launches, PMF discovery, growth loops, monetization, retention. Built 9.3K users in 30 days for an ERC startup.
The 1+n team. Hiring plans calibrated for agents-first. Replacing tool sprawl with small teams.
Keynotes, workshops, fireside Q&As, weekly essays. The Cookbook (free, forever).