Technical Investment Operations Associate

Alpaca VC; New York (NY); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Deal flow exposure

Ownership of systems

Mentorship by senior investors

AI automation portfolio

Upside potential

Job summary

Alpaca VC is building AI-powered operating systems for venture capital in New York. You will turn strategic concepts into production systems using Python, LLMs, and new architectures, and later deploy them across our portfolio companies.

This role offers exposure to deal flow and the chance to own impactful technical systems. You will work directly with senior investors to design and implement automated workflows for deal analysis, LP intelligence, and content generation, learning venture

Qualifications

• 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 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.

Responsibilities

• Turn strategic concepts into production systems using Python, LLMs, and new architectures.
• Deploy workflows across our portfolio companies and scale them.
• Learn venture capital workflows and participate in deal discussions with senior investors.
• Develop infrastructure that supports deal analysis, LP intelligence, and content generation workflows.
• Collaborate with a Principal to implement scalable technical solutions.

Skills

Python

APIs

Workflow automation

LLMs

GitHub projects

Requirements translation

Ambiguity tolerance

Tools

n8n

Make

Zapier

Job description

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