Elena Wang
Marketing Director · Product Marketing & GTM
I build AI-powered tools and translate them into growth.
Product marketing leader building and shipping AI-powered workflows to understand how technical capability translates into adoption, usage, and revenue growth. I focus on structured systems, iteration, and the real-world tradeoffs that shape AI product success.
About
I’m a product marketing and GTM leader focused on driving adoption and revenue growth for technology platforms. I’ve partnered closely with Product and Engineering to shape positioning, rollout strategy, and lifecycle programs that translate customer insight into measurable usage and revenue impact.
As AI reshapes how products are built and distributed, I’ve been prototyping AI-powered workflows end-to-end using AI-assisted development (“vibe coding”) and deploying them to production. This hands-on experience taught me what it takes to build usable AI products: structured inputs, iteration loops, and tradeoffs around latency and inference cost.
My goal is to help AI companies bridge technical capability with clear positioning, combining hands-on product understanding with distribution strategy that drives sustained adoption and growth.
Featured Project
Impact Logger
AI-powered narrative system for structured impact tracking
- Explored how structured logs can be transformed into performance-ready narratives
- Built V1 using Lovable and AI-assisted prototyping ("vibe coding")
- Transitioned to Claude API integration for improved output control
- Deployed via GitHub and Vercel
- Key insight: single-pass LLM prompts fail without multi-step abstraction
- Constraint discovered: inference cost makes naive LLM usage unsustainable at scale
This project deepened my thinking around AI product architecture, cost tradeoffs, and stateful system design.
How I Think About AI Products
- AI features fail without structured input systems.
- Inference cost is a product constraint, not an afterthought.
- Stateful systems outperform one-shot prompts.
- AI is most powerful when embedded in real workflows.
- Product mechanics and distribution evolve together.
Let’s Connect
I’m exploring roles in AI product marketing and product-led growth, particularly within AI-native teams.
If you’re building AI products and value operators who combine product thinking, GTM strategy, and hands-on AI experimentation, I’d love to connect.