AI Investor - Associate

About the role

A leading early‑stage venture capital fund is seeking an AI‑focused Investor to lead its thinking and investing across the rapidly evolving artificial intelligence ecosystem. The role is full‑time, centered on developing conviction around AI, building relationships with exceptional founders, and identifying companies that will define the category. The fund has ~20 team members (≈12 in investment), recently raised a ~$220 million fund, and maintains an AI portfolio spanning consumer applications, infrastructure, research, and agents.

Responsibilities

• Build and own a distinctive investment perspective across the AI landscape
• Source and evaluate new investment opportunities
• Develop relationships with founders and technical communities
• Lead investments from initial thesis through diligence and decision‑making
• Assess emerging technologies, markets, competitive dynamics, business models, and valuations
• Help the wider partnership maintain a current, differentiated view of the ecosystem

Requirements

• Demonstrated experience deploying capital as part of an investment team
• Ability to show genuine, independently developed conviction about AI
• Experience discussing foundation‑model competition, open‑source vs. closed‑source ecosystems, AI infrastructure, application‑layer opportunities, consumer adoption, and changing valuation dynamics
• Preferred background in consumer‑facing AI companies or having built personal networks and reputation independent of a firm’s brand
• Strong technical breadth (role is investing, not engineering)
• Background may include venture capital, angel investing, founding/exiting a tech company, operating at a leading AI business, or relevant academic/technical communities
• Must demonstrate strong investment judgement, access to exceptional founders, and credible experience evaluating or deploying capital
• Preferred level: Principal; open to exceptional candidates from Principal through Partner
• Location preference: New York or San Francisco (not absolute)

Skills

• Foundation‑model competition analysis
• Open‑source vs. closed‑source ecosystem evaluation
• AI infrastructure knowledge
• Application‑layer opportunity assessment
• Consumer adoption trends
• Valuation dynamics understanding
• Technical breadth across AI domains
• Investment judgement and deal sourcing
• Founder and community relationship building