Lily Tewolde
AI Product Manager at Mela AI; AI Product & Growth Consultant at STOS Product Consulting SRVS
About
I'm Lily Tewolde, an AI Product Manager and Consultant currently leading 0→1 development at Mela AI. My career has evolved from scaling product operations at belairdirect to architecting AI-native products like RAG systems and multi-agent workflows. I’m a firm believer that the modern PM needs to be a 'builder'—someone who doesn't just write docs but can prototype and vibe-code their way to a launch. I'm deeply passionate about ethical AI, intentional relationship compatibility, and breaking professional silos in the Atlanta tech scene through curated mixers and walks. Whether you're an early-stage founder or an AI engineer, I'm always looking to collaborate on intuitive consumer products or community initiatives that help us stop networking into a void.
Networking
What I can offer
- ›Translating complex LLM capabilities into intuitive consumer products
- ›Growth funnel optimization
- ›0→1 product strategy
- ›Community building and event design
Looking for
- ›Feedback on side projects
- ›Collaboration for community-building events
- ›Connections with early-stage founders and AI engineers
Best fit for
Current Interests
Background
Career
Transitioned from Product Operations at belairdirect into AI-native product leadership and consulting, specializing in 0→1 development and generative AI platforms.
Education
Executive Program in Generative AI for Digital Transformation from MIT Sloan School of Management; BA in Political Science and Government from Simon Fraser University.
Achievements
- ›Leading 20+ person cross-functional team at Mela AI
- ›Launched checkBaseline.com over a weekend via vibe-coding, gaining 100+ users
- ›Managed onboarding for 30+ new hires at belairdirect
- ›Shipped 2 initiatives and 3 SQL tables in first 4 weeks at HeyGen
Opinions
- PMs who only write documents will be obsolete by 2026; they must become technical builders.
- AI will not replace tech workers due to technical limitations like context drop and compounding hallucinations.
- Intentional relationships require upfront data on compatibility over simple chemistry.
- The next wave of AI must prioritize data transparency and user consent.