A short list, not a wall of logos. Each one is work we sat in the seat for.
Rebuilt the funnel from lead source to install. Consolidated ad spend across three regions, launched agentic SEO, and put an AI voice agent on inbound. Organic sessions went from zero to 6,000+/mo. Automation saved roughly $1M a year in coordination cost.
Named the brand, shipped the site, stood up the CRM, and put the first campaigns in-market inside a quarter. Storm-response playbook and Google Local Services carried the second half of the year.
Positioned a premium consumer product line against big-box competition with a distinct brand and a locally-targeted content engine. Ran paid + local service ads + organic under one dashboard so the owner could actually see what worked.
Led a six-person migration team plus an 18+ person global data org across US/LatAm/India. Cut cloud spend, tightened SLAs, and moved reporting onto a single Databricks lakehouse without dropping a beat for advertising ops.
Post-acquisition, two companies ran duplicate data, reporting, and identity systems. We mapped both estates, picked one target architecture, and consolidated reporting, warehousing, and campaign attribution into a single platform — without pausing revenue operations.
Founder had product instinct and no tech or marketing org. We set positioning, shipped the site and CRM, built the analytics stack, and stood up the demand engine — one team owning both the pipeline and the platform through the first funded growth year.
Inbound calls, quote follow-up, and dispatch coordination were eating a full back office. We deployed a voice agent, an inbox agent, and workflow automation with human guardrails — response times dropped to minutes and no lead went unanswered overnight.
Ran data engineering, analytics, and ML platform functions for a global business: SLAs, cost governance, hiring, and the roadmap. Reporting the executive team could trust, and a platform the product teams could build on.