Technical Investment Operations Associate
TypeFull-time job
LocationUnited States
Posted3 hours ago
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
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
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