Jobs · Business Development · California

Investor - AI Infrastructure and Software at Headline

Jack & Jill · San Francisco, CA · 3 days ago
On-siteBusiness DevelopmentFull-time

Headline.com is seeking a technical investor for its San Francisco team to focus on early-stage AI infrastructure and developer tools. This unique role combines traditional venture capital sourcing and diligence with hands-on engineering. You will build proprietary data pipelines and AI-powered tools while engaging directly with world-class founders to identify the next generation of category-leading software.

About the role

The ideal candidate has 1–3 years of experience in high-output environments like early-stage AI startups, technical product roles, or high-velocity early-career venture capital. Possesses a technical degree in Computer Science, Engineering, or Math and the demonstrated ability to build and ship real-world software products. Is AI-native, regularly building with LLMs and modern dev workflows to evaluate model serving, vector databases, and complex orchestration frameworks effectively.

Responsibilities

  • Source and engage over 15 founders weekly across AI infrastructure, developer tools, and agentic systems to identify breakout investment opportunities early.
  • Conduct rigorous technical deep-dives and founder calls, synthesizing complex architectures into sharp, actionable investment theses for the firm's partner team.
  • Develop and deploy custom AI automations, data pipelines, and market maps to improve the firm’s proprietary sourcing systems and internal deal flow.

Requirements

  • Has 1–3 years of experience in high-output environments like early-stage AI startups, technical product roles, or high-velocity early-career venture capital.
  • Possesses a technical degree in Computer Science, Engineering, or Math and the demonstrated ability to build and ship real-world software products.
  • Is AI-native, regularly building with LLMs and modern dev workflows to evaluate model serving, vector databases, and complex orchestration frameworks effectively.

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