Gembah
Led AI integration for marketing automation and website enhancement at Austin's leading product development marketplace.
Gembah is a $14.4M-funded Austin platform that connects entrepreneurs and SMBs with designers, engineers, and global factories — compressing the journey from product concept to manufacturing. When I joined in summer 2023, the team was exploring how to use emerging AI tooling to automate parts of the customer acquisition and marketing stack that had been entirely manual.
Gembah's core product — connecting product creators with a global network of 2,000+ factories and hundreds of designers — required a high-touch marketing and sales motion. Educating potential customers about what product development actually involves meant producing a lot of content, fielding a lot of questions, and personalizing outreach at a scale their team couldn't sustain manually. This was summer 2023: GPT-4 had just dropped, the tooling was immature, and most companies were still figuring out what AI integration even meant in practice.
I led the evaluation and integration of AI tooling across two areas: website enhancement and marketing automation. On the website side, that meant building out smarter content surfaces — using AI to better match site visitors with relevant case studies and product categories based on browsing behavior. On the marketing side, I built automated email workflows that could personalize outreach sequences based on where a lead was in the product development journey. This was pre-LangChain-being-everywhere work: a lot of direct API integration, prompt engineering by hand, and iteration based on real output quality.
The integrations improved customer engagement metrics and reduced manual workload for the marketing team. More importantly, it was an early proof-of-concept that AI-assisted marketing automation was viable for a complex, high-consideration product like Gembah's. The experience shaped how I think about AI integration: it's not about replacing workflows wholesale, it's about finding the specific points where automation compounds human effort rather than replacing it.