We're building AI-powered operating systems for venture capital—not just using ChatGPT, but creating automated deal analysis, LP intelligence systems, and content generation workflows that give us unfair advantages. You'll work directly with a Principal to turn strategic concepts into production systems using Python, LLMs, and new architectures
This is a unique opportunity to learn venture capital while building technical infrastructure that shapes how a modern fund operates. After we nail our workflows, you'll help deploy them across our portfolio companies.
Requirements
- 1-3 years experience in a technical role (engineering, technical PM, data analytics, or startup operations)
- Python or other scripting language fundamentals with experience writing scripts for data processing and API integrations
- Familiarity with workflow automation tools (n8n, Make, Zapier) or willingness to learn quickly
- Comfortable working with APIs, JSON, webhooks, and debugging integration issues
- Basic understanding of LLMs and prompt engineering concepts
- GitHub with actual projects (not just coursework) demonstrating practical problem-solving
- Ability to translate business requirements into technical solutions without hand-holding
- Comfortable with ambiguity—we're building new systems, not maintaining established ones
Benefits
Direct exposure to deal flow and investment conversations at a top seed-stage fundOwnership over technical systems that matter strategically—not IT support workWork directly with senior investors who understand and value technical workPortfolio of AI automation work you can showcase to future employersPath to deploy systems across portfolio companies as we scaleCompetitive compensation with potential opportunities for upside across a multi-strategy firm