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 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
Originally posted on Himalayas