Taegyu Jeong

Lead product discovery, requirement definition, and rapid prototyping for AI-driven MVPs across EdTech, Marketplace, and Web3. Manage backlog, write PRDs, and run iterative experiments. ● Genkle: English speaking diary Web app ○ Scoped and built core features (STT, grammar correction, native phrasing, summarization). ○ Designed user flows and executed rapid UX iterations using funnel insights. ○ Automated Reddit-based acquisition pipeline to improve CTR and feedback quality. ● Trachemy: Co-founder Matching Platform ○ Led discovery → MVP → launch on Bubble.io; built AI-generated pitch system and onboarding flows. ○ Achieved 250+ users and 40+ pilot projects in the first month. ○ Ran GTM experiments and iterated matching logic based on activation/retention insights. ● Cretok: Tokenized Commercial real estate investment platform ○ Conducted B2B interviews to validate fractionalized CRE demand. ○ Defined token model, user journeys, and landing page; shipped Webflow MVP.

Explored enterprise GenAI adoption, building scalable prototypes and running fast learning cycles. ● Identified inefficiencies in job-matching funnels (95% irrelevant listings). ● Built Fine-Tune Job Agent (FTJA): LLM + vector search with 95%+ accuracy at $0.01/query. ● Designed evaluation framework, feedback loop, and metrics for continuous iteration.

Worked cross-functionally with engineering, service, and HQ teams to improve product quality and reduce service cost across EU markets. ● Collaborated with engineering, service, and HQ teams across EU/Asia on quality initiatives. ● Analyzed ERP and field data to identify root causes of service cost escalation. ● Improved parts management processes, achieving $1.3M YoY service cost reduction.

Supported early-stage startup founders by leading product discovery and MVP definition. ● Led product discovery and MVP definition for early-stage startups. ● Conducted JTBD interviews, market analysis, and feature prioritization. ● Created PRDs and roadmaps; reduced iteration cycles via structured requirements.

A real-time nearby promotion platform. ● Raised $350K pre-seed + $50K government grant. ● Shipped iOS/Android apps by managing outsourced teams and QA processes. ● Onboarded 100+ retailers and validated PMF through retention and user activity.