AI Powered GTM and Market Expansion Engine
A repeatable workflow for researching markets, identifying prospects, launching localized web properties, generating inbound demand, and managing leads through follow up.
Aaron Rosenzweig
GTM Engineering, AI Systems, Growth Infrastructure · Chicago, Illinois
Aaron is a systems oriented technical leader across growth, data, and AI systems. He builds repeatable systems that identify opportunities, acquire customers, automate operations, and make launching or scaling businesses less expensive.
B.S. Computer Science, Loyola University Chicago (May 2022). Based in Chicago, Illinois, open to remote, hybrid, and in person roles.
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Business and GTM: Go to market strategy, Growth systems, Sales operations, Lead generation, Market expansion, Revenue operations, Programmatic SEO, Outbound automation, Business process automation
AI and automation: AI agents, Multi agent systems, LLM tooling, Agentic workflows, MCP, Browser automation, Workflow orchestration, OpenAI API, Claude API, and Google Gemini, OpenAI agent SDK and Vercel AI SDK, ChatGPT, Claude, OpenAI Codex, and Claude Code, used daily
Data and systems: Data architecture, Data modeling, ETL and ELT, Analytics infrastructure, Cloud architecture, API design, Event driven systems, Geospatial data
Languages and frameworks: Python, JavaScript and TypeScript, Golang, Bash, Next.js, React, Node.js, Django
Platforms and tools: AWS, Azure, GCP, Vercel, PostgreSQL, BigQuery, Snowflake, Databricks, Spark, Tableau, Grafana, Salesforce, SignalWire, Docker, Kubernetes, Terraform
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A repeatable workflow for researching markets, identifying prospects, launching localized web properties, generating inbound demand, and managing leads through follow up.
A shared Next.js architecture that supports more than 50 domains from one codebase, with new market sites added largely through configuration.
Shared services for forms, calls, and inbound sales across brands and markets, built on GCP Cloud Functions and SignalWire.