Matt Gawarecki
mattgawarecki
mattgawareckiProduct engineer specializing in web-scale systems with React and TypeScript -- both building them from the ground up and taking existing ones to the next level. I take ideas from the whiteboard to millions in ARR, inspire high technical standards across teams, and consistently deliver on time in a way that stakeholders love.
Work experience
Webflow
GlobalSenior Frontend Engineer
-- Core engineer and technical lead for flagship AI site builder product; shipped to public beta in 9 months, GA 1 year later; now generates $5MM in ARR with 30% in-flow conversion and accounts for 25% of all new sites created
- Ideated and built several patent-backed features like LLM-powered page generation, prompt analysis for better site generation, side-by-side page previews, and automatic font installation
- Named inventor on two patents pending acceptance, originating from AI site builder development
- Organically took on leadership responsibilities including standup facilitation, scope management, team project allocation, and representing engineering in stakeholder communications
- Co-developed and piloted a new systems design interview question, personally conducting 25+ interviews to date and training several other interviewers
Automattic
GlobalSenior Software Engineer
-- Facilitated, documented, and established a formal, team-developed code review standard
- Built and shipped friendly and efficient experiences for agencies and hosting partners in a React/Redux/TypeScript web app to support self-serve management of up to hundreds of sites
- Modernized our customer experience with completely new sidebar navigation in <1 month
Engineering Manager
-- Led a global team of up to 7 engineers across three continents, from UTC-8 to UTC+8
- Devised a task estimation system that consistently delivered projects within -3 to +1 days of ETA on 6-8 week initiatives
- Coached and mentored senior engineers to career growth and domain expertise, in areas like project management, performance management, and web accessibility
- Reclaimed hours of engineering time per week by replacing all recurring meetings with async communication.
- Actively participated in division-level roadmap planning discussions
Senior Software Engineer
-- Launched a completely new product offering to empower over 20 million Jetpack customers to back up their sites, scan for malware, and track site health from anywhere
- Designed, executed, and analyzed A/B tests to study and improve jetpack.com's conversion rate
- Regularly collaborated with design and product stakeholders to quickly iterate impactful projects
Patents
Machine learning assisted content generation using semantic hierarchy
Filed ; published .
A method to generate all the content for a single web page using AI. Uses the page's existing semantic structure (e.g., headlines vs body text) to build context-aware prompts, then validates against placement-specific requirements (e.g., tone, length, complexity) before presenting to the user for revision or approval.
Semantically-structured webpage templates using generative machine learning models
Filed ; published .
A system to generate entire websites with AI. Interprets a user's requirements via natural language or selections, retrieves relevant page templates and structural metadata using semantic similarity search, builds AI prompts to populate those templates with contextually-appropriate content (text, images, etc.), and validates output against the underlying schema. The system supports iterative refinement, multi-page generation, and feedback-driven learning across sessions.
Education
Murray State University
Murray, KYB.Sc., Computer Science
-- Graduated summa cum laude
- Led university chapter of ACM
- Acted as teaching assistant for VB.NET courses