Product Marketing & GTM Leader · AI Product Builder
I build AI-powered products and translate them into adoption and growth.
Product marketing & GTM 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 Elena Wang, 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.
Outside of work, I'm an avid traveler who has visited over 50 countries across all seven continents — an experience that deepens my curiosity about how different cultures approach and solve problems, shaping how I think about marketing and building products for diverse users. I also enjoy staying active, challenging myself, and hitting goals — including finishing the NYC Marathon a few years ago.
What I've Built
Waylena
Mobile app for professionals to track career conversations and follow up
- Built iOS app from scratch using Expo/React Native, Supabase, and PostHog
- Designed conversation-centric UX with multi-select topic tagging, follow-up reminders, and networking insights
- Launched beta with external testers and structured feedback survey
- Deployed marketing site with Kit email capture and Google Analytics
- App Store submission in progress; Android to follow
This project pushed me into mobile product development — navigating app build pipelines, native UX conventions, and the end-to-end process of shipping to real users on device.
Impact Logger
AI-powered narrative system for structured impact tracking
- Built V1 using Lovable and AI-assisted prototyping ("vibe coding")
- Rebuilt from Lovable prototype using React, TypeScript, and Supabase for persistent data and auth
- Integrated Claude API for improved output control and multi-step narrative generation
- Integrated PostHog for usage and engagement analytics to track adoption patterns and inform iteration
- 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.
My Product & Growth Strategy
Mobile & Networking
- Networking utility is built on the follow-up, not the connection.
- Mobile friction is the enemy of data quality and user habit.
- Beta testing validates the "aha moment," not just the code.
- Successful products focus on retention loops over vanity metrics.
AI & Systems
- 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.
Ultimately, I believe product mechanics and distribution strategy must evolve together — technical capability only matters if the distribution model is built into the product's DNA.
Writing
March 19, 2026
When a Ski Trip Injury Led Me to Build Two Products in Eight Weeks
I don't usually share personal stories. But if you've been thinking about starting something and keep putting it off, this might be the push you need.
Read more →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 marketers who combine product thinking, GTM strategy, and hands-on AI experimentation, I'd love to connect.