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.
• 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
• Direct exposure to deal flow and investment conversations at a top seed-stage fund
• Ownership over technical systems that matter strategically—not IT support work
• Work directly with senior investors who understand and value technical work
• Portfolio of AI automation work you can showcase to future employers
• Path to deploy systems across portfolio companies as we scale
• Competitive compensation with potential opportunities for upside across a multi-strategy firm
